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36th Conference on Neural Information Processing Systems, NeurIPS 2022
Koyejo, S. [szerk.]
;
Mohamed, S. [szerk.]
;
Agarwal, A. [szerk.]
;
Belgrave, D. [szerk.]
;
Cho, K. [szerk.]
;
Oh, A. [szerk.]
Angol nyelvű Konferenciakötet (Könyv) Tudományos
Megjelent: Neural Information Processing Systems Foundation, San Diego, Amerikai Egyesült Államok
2022
Konferencia:
36th Annual Conference on Neural Information Processing Systems, NeurIPS 2022 2022-11-28 [New Orleans (LA), Amerikai Egyesült Államok]
Sorozatok:
Advances in Neural Information Processing Systems 1049-5258, 35
Azonosítók
MTMT: 34791624
Kiadónál:
https://proceedings.neurips.cc/paper_files/paper/2022
ISBN:
9781713871088
Fejezetek
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Agrawal Kumar Krishna et al. α-ReQ : Assessing representation quality by measuring eigenspectrum decay. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Ahn Kwangjun et al. Reproducibility in Optimization: Theoretical Framework and Limits. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Akhavan Arya et al. A gradient estimator via L1-randomization for online zero-order optimization with two point feedback. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Alabdulmohsin Ibrahim et al. A Reduction to Binary Approach for Debiasing Multiclass Datasets. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
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Amini Arash A. et al. Target alignment in truncated kernel ridge regression. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
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Arora Raman et al. Differentially Private Generalized Linear Models Revisited. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
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Baudin Lucas et al. Smooth Fictitious Play in Stochastic Games with Perturbed Payoffs and Unknown Transitions. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Belcak P. et al. FACT: Learning Governing Abstractions Behind Integer Sequences. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Belcak Peter et al. FACT: Learning Governing Abstractions Behind Integer Sequences. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Bello Kevin et al. DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
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Bertens P. et al. Emergence of Hierarchical Layers in a Single Sheet of Self-Organizing Spiking Neurons. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022 p. &
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Beznosikov Aleksandr et al. Decentralized Local Stochastic Extra-Gradient for Variational Inequalities. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Beznosikov Aleksandr et al. Distributed Methods with Compressed Communication for Solving Variational Inequalities, with Theoretical Guarantees. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
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Boutin Victor et al. Diversity vs. Recognizability: Human-like generalization in one-shot generative models. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Brandt Jasmin et al. Finding Optimal Arms in Non-stochastic Combinatorial Bandits with Semi-bandit Feedback and Finite Budget. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
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Bressan M. et al. Active Learning of Classifiers with Label and Seed Queries. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
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Chen Lisha et al. Understanding Benign Overfitting in Gradient-based Meta Learning. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Chen S. et al. Hardness of Noise-Free Learning for Two-Hidden-Layer Neural Networks. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Chen Shoufa et al. AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Chen Sizhe et al. Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query Attacks. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Chen Yanzhi et al. Scalable Infomin Learning. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Chen Yongqiang et al. Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Childs Andrew M. et al. Quantum Algorithms for Sampling Log-Concave Distributions and Estimating Normalizing Constants. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Chizat Lenaic et al. Trajectory Inference via Mean-field Langevin in Path Space. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Cho Youngin et al. Mining Multi-Label Samples from Single Positive Labels. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Cianfarani C. et al. Understanding Robust Learning through the Lens of Representation Similarities. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022 p. &
Colin Julien et al. What I Cannot Predict, I Do Not Understand: A Human-Centered Evaluation Framework for Explainability Methods. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Crabbe Jonathan et al. Concept Activation Regions: A Generalized Framework For Concept-Based Explanations. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Criado Francisco et al. Fast Algorithms for Packing Proportional Fairness and its Dual. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Cui Qiwen et al. Learning in Congestion Games with Bandit Feedback. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Dai Yan et al. Follow-the-Perturbed-Leader for Adversarial Markov Decision Processes with Bandit Feedback. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Daneshjou Roxana et al. SkinCon: A skin disease dataset densely annotated by domain experts for fine-grained model debugging and analysis. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Danon Lior et al. Frank-Wolfe-based Algorithms for Approximating Tyler's M-estimator. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Daulton Samuel et al. Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Davis D. et al. A Gradient Sampling Method With Complexity Guarantees for Lipschitz Functions in High and Low Dimensions. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Deistler Michael et al. Truncated proposals for scalable and hassle-free simulation-based inference. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Deng Chengyuan et al. OPENFWI: Large-scale Multi-structural Benchmark Datasets for FullWaveform Inversion. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Deng Wenying et al. Towards a Unified Framework for Uncertainty-aware Nonlinear Variable Selection with Theoretical Guarantees. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Deng Yanchen et al. Deep Attentive Belief Propagation: Integrating Reasoning and Learning for Solving Constraint Optimization Problems. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Deng Yichuan et al. Fast Distance Oracles for Any Symmetric Norm. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Deng Zhijie et al. Accelerated Linearized Laplace Approximation for Bayesian Deep Learning. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
de Vazelhes William et al. Zeroth-Order Hard-Thresholding: Gradient Error vs. Expansivity. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Dherin B. et al. Why neural networks find simple solutions: the many regularizers of geometric complexity. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022 p. &
Diakonikolas Ilias et al. List-Decodable Sparse Mean Estimation via Difference-of-Pairs Filtering. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Diakonikolas Ilias et al. Outlier-Robust Sparse Mean Estimation for Heavy-Tailed Distributions. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022 p. x
Diakonikolas J. et al. A Fast Scale-Invariant Algorithm for Non-negative Least Squares with Non-negative Data. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022 p. online
Ding J. et al. Biologically Inspired Dynamic Thresholds for Spiking Neural Networks. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Ding Yao-Xiang et al. Pre-Trained Model Reusability Evaluation for Small-Data Transfer Learning. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Doersch Carl et al. TAP-Vid: A Benchmark for Tracking Any Point in a Video. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Dong S. et al. Decomposable Non-Smooth Convex Optimization with Nearly-Linear Gradient Oracle Complexity. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Dong Yinpeng et al. ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Dubois-Taine Benjamin et al. Fast Stochastic Composite Minimization and an Accelerated Frank-Wolfe Algorithm under Parallelization. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022 p. online
du Terrail Jean Ogier et al. FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
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Epasto A. et al. Differentially Private Graph Learning via Sensitivity-Bounded Personalized PageRank. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Esfandiari Hossein et al. Anonymous Bandits for Multi-User Systems. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
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Farina Gabriele et al. Near-Optimal No-Regret Learning Dynamics for General Convex Games. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Fatkhullin Ilyas et al. Sharp Analysis of Stochastic Optimization under Global Kurdyka-Lojasiewicz Inequality. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
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Fel Thomas et al. Harmonizing the object recognition strategies of deep neural networks with humans. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
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Fisher Ron et al. Local Linear Convergence of Gradient Methods for Subspace Optimization via Strict Complementarity. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Foster Dylan J. et al. On the Complexity of Adversarial Decision Making. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
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Lang Hunter et al. Training Subset Selection for Weak Supervision. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
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Lee Hanbyul et al. Support Recovery in Sparse PCA with Incomplete Data. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Lee Jonathan N. et al. Oracle Inequalities for Model Selection in Offline Reinforcement Learning. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Leroy Alix et al. FlyView: a bio-informed optical flow truth dataset for visual navigation using panoramic stereo vision. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Levin Roman et al. Where do Models go Wrong? Parameter-Space Saliency Maps for Explainability. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Liang Jingyun et al. Recurrent Video Restoration Transformer with Guided Deformable Attention. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Li Siyao et al. AnimeRun: 2D Animation Visual Correspondence from Open Source 3D Movies. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Li T. et al. Quantum Speedups of Optimizing Approximately Convex Functions with Applications to Logarithmic Regret Stochastic Convex Bandits. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Liu Fanghui et al. Understanding Deep Neural Function Approximation in Reinforcement Learning via ε-Greedy Exploration. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Liu Jiachang et al. FasterRisk: Fast and Accurate Interpretable Risk Scores. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Liu Minhao et al. SCINet: Time Series Modeling and Forecasting with Sample Convolution and Interaction. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Liu Xutong et al. Batch-Size Independent Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms or Independent Arms. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Liu Y.H. et al. Biologically-plausible backpropagation through arbitrary timespans via local neuromodulators. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Liu Yuqiao et al. Bridge the Gap Between Architecture Spaces via A Cross-Domain Predictor. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Liu Zichang et al. Retaining Knowledge for Learning with Dynamic Definition. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Liu Ziming et al. Towards Understanding Grokking: An Effective Theory of Representation Learning. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Li Xiao et al. A Unified Convergence Theorem for Stochastic Optimization Methods. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Li Yang et al. Non-rigid Point Cloud Registration with Neural Deformation Pyramid. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Li Zhaoqi et al. Instance-optimal PAC Algorithms for Contextual Bandits. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Lorch Lars et al. Amortized Inference for Causal Structure Learning. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Lotan Sagi et al. Coreset for Line-Sets Clustering. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Lowe Scott C. et al. Logical Activation Functions: Logit-space equivalents of Probabilistic Boolean Operators. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Luo Luo et al. Finding Second-Order Stationary Points in Nonconvex-Strongly-Concave Minimax Optimization. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Lyu Kaifeng et al. Understanding the Generalization Benefit of Normalization Layers: Sharpness Reduction. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Lyu Shen-Huan et al. Depth is More Powerful than Width with Prediction Concatenation in Deep Forest. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Ma Haixu et al. Learning Individualized Treatment Rules with Many Treatments: A Supervised Clustering Approach Using Adaptive Fusion. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Ma Linjian et al. Cost-efficient Gaussian tensor network embeddings for tensor-structured inputs. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Malinovsky Grigory et al. Variance Reduced ProxSkip: Algorithm, Theory and Application to Federated Learning. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Mangoubi O. et al. Sampling from Log-Concave Distributions with Infinity-Distance Guarantees. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Mangoubi Oren et al. Re-Analyze Gauss: Bounds for Private Matrix Approximation via Dyson Brownian Motion. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Maros M. et al. Acceleration in Distributed Sparse Regression. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022 p. online
Maystre Lucas et al. Temporally-Consistent Survival Analysis. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Ma Z. et al. ELIGN: Expectation Alignment as a Multi-Agent Intrinsic Reward. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Miao Rui et al. Off-Policy Evaluation for Episodic Partially Observable Markov Decision Processes under Non-Parametric Models. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Mikulincer Dan et al. Size and depth of monotone neural networks: interpolation and approximation. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Mi Peng et al. Make Sharpness-Aware Minimization Stronger: A Sparsified Perturbation Approach. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Mitra Aritra et al. Collaborative Linear Bandits with Adversarial Agents: Near-Optimal Regret Bounds. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Munir Muhammad Akhtar et al. Towards Improving Calibration in Object Detection Under Domain Shift. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Ngampruetikorn Vudtiwat et al. Information bottleneck theory of high-dimensional regression: relevancy, efficiency and optimality. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Nietert S. et al. Statistical, Robustness, and Computational Guarantees for Sliced Wasserstein Distances. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Nikolakakis Konstantinos E. et al. Black-Box Generalization: Stability of Zeroth-Order Learning. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
O'Carroll L. et al. The Burer-Monteiro SDP method can fail even above the Barvinok-Pataki bound. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Padilla Carlos Misael et al. Change-point Detection for Sparse and Dense Functional Data in General Dimensions. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Paek Dong-Hee et al. K-Radar: 4D Radar Object Detection for Autonomous Driving in Various Weather Conditions. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Panaganti Kishan et al. Robust Reinforcement Learning using Offline Data. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Paquette Courtney et al. Implicit Regularization or Implicit Conditioning? Exact Risk Trajectories of SGD in High Dimensions. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Pedawi Aryan et al. An efficient graph generative model for navigating ultra-large combinatorial synthesis libraries. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Perrault Pierre. When Combinatorial Thompson Sampling meets Approximation Regret. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Peters Dominik et al. Robust Rent Division. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Petersen Felix et al. Deep Differentiable Logic Gate Networks. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Pinilla Samuel et al. Improved Imaging by Invex Regularizers with Global Optima Guarantees. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Popordanoska Teodora et al. A Consistent and Differentiable L
p
Canonical Calibration Error Estimator. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Pour Alireza Fathollah et al. Benefits of Additive Noise in Composing Classes with Bounded Capacity. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Qian Guocheng et al. PointNeXt: Revisiting PointNet plus plus with Improved Training and Scaling Strategies. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Qin Zeyu et al. Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Quesada Jorge et al. MTNeuro: A Benchmark for Evaluating Representations of Brain Structure Across Multiple Levels of Abstraction. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Qu Haoxuan et al. Heatmap Distribution Matching for Human Pose Estimation. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Rahmani Babak et al. Natural image synthesis for the retina with variational information bottleneck representation. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Rakhsha Amin et al. Operator Splitting Value Iteration. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Ramesh Aditya et al. Exploring through Random Curiosity with General Value Functions. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Ricci Federica Zoe et al. Thinned random measures for sparse graphs with overlapping communities. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Riccio Piera et al. OpenFilter: A Framework to Democratize Research Access to Social Media AR Filters. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Rizk Geovani et al. An α-No-Regret Algorithm For Graphical Bilinear Bandits. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Rohatgi Dhruv et al. Robust Generalized Method of Moments: A Finite Sample Viewpoint. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Roy Indradyumna et al. Maximum Common Subgraph Guided Graph Retrieval: Late and Early Interaction Networks. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Rubinstein J. Hyam et al. Unlabelled Sample Compression Schemes for Intersection-Closed Classes and Extremal Classes. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Rubinstein J. Hyam et al. Unlabelled Sample Compression Schemes for Intersection-Closed Classes and Extremal Classes. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Sakaue S. et al. Discrete-Convex-Analysis-Based Framework for Warm-Starting Algorithms with Predictions. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Saket Rishi. Algorithms and Hardness for Learning Linear Thresholds from Label Proportions. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Salehi Yasmin et al. PhysGNN: A Physics-Driven Graph Neural Network Based Model for Predicting Soft Tissue Deformation in Image-Guided Neurosurgery. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Setlur Amrith et al. Adversarial Unlearning: Reducing Confidence Along Adversarial Directions. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Shaharabany Tal et al. What is Where by Looking: Weakly-Supervised Open-World Phrase-Grounding without Text Inputs. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Shekhar Shubhanshu et al. A permutation-free kernel two-sample test. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Shirzad Hamed et al. Evaluating Graph Generative Models with Contrastively Learned Features. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Shi Yucheng et al. Decision-based Black-box Attack Against Vision Transformers via Patch-wise Adversarial Removal. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Shouman Omar et al. PROSPECT: Labeled Tandem Mass Spectrometry Dataset for Machine Learning in Proteomics. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Shu Yao et al. Unifying and Boosting Gradient-Based Training-Free Neural Architecture Search. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Si Chenyang et al. Inception Transformer. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Simchi-Levi David et al. A Simple and Optimal Policy Design for Online Learning with Safety against Heavy-tailed Risk. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Sobczyk Aleksandros et al. Approximate Euclidean lengths and distances beyond Johnson-Lindenstrauss. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Song Chaobing et al. Coordinate Linear Variance Reduction for Generalized Linear Programming. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Subramanian Vignesh et al. Generalization for Multiclass Classification with Overparameterized Linear Models. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Sun Chenghao et al. Towards Lightweight Black-Box Attacks Against Deep Neural Networks. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Sundararaman R. et al. Reduced Representation of Deformation Fields for Effective Non-rigid Shape Matching. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Sun Haoyuan et al. Mirror Descent Maximizes Generalized Margin and Can Be Implemented Efficiently. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Sun Shangkun et al. SKFlow: Learning Optical Flow with Super Kernels. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Sun Zhenyu et al. A Communication-efficient Algorithm with Linear Convergence for Federated Minimax Learning. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Taghibakhshi Ali et al. Learning Interface Conditions in Domain Decomposition Solvers. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Tan Jasper et al. Parameters or Privacy: A Provable Tradeoff Between Overparameterization and Membership Inference. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Tatsunami Yuki et al. Sequencer: Deep LSTM for Image Classification. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Thams Nikolaj et al. Evaluating Robustness to Dataset Shift via Parametric Robustness Sets. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Toth Christian et al. Active Bayesian Causal Inference. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Tran Hoang et al. Better SGD using Second-order Momentum. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Vankadara Leena Chennuru et al. Interpolation and Regularization for Causal Learning. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Viano Luca et al. Proximal Point Imitation Learning. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Wang Haonan et al. Deep Active Learning by Leveraging Training Dynamics. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Wang Haotao et al. Trap and Replace: Defending Backdoor Attacks by Trapping Them into an Easy-to-Replace Subnetwork. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Wang Huan et al. What Makes a "Good" Data Augmentation in Knowledge Distillation - A Statistical Perspective. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Wang Puyu et al. Stability and Generalization for Markov Chain Stochastic Gradient Methods. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Wang Qilong et al. DropCov: A Simple yet Effective Method for Improving Deep Architectures. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Wang Shiyu et al. Deep Generative Model for Periodic Graphs. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Wang Yutong et al. Consistent Interpolating Ensembles via the Manifold-Hilbert Kernel. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Wang Zifeng et al. TransTab: Learning Transferable Tabular Transformers Across Tables. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Wang Ziyu et al. Fast Instrument Learning with Faster Rates. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Wan Yanming et al. HandMeThat: Human-Robot Communication in Physical and Social Environments. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Wei Colin et al. Statistically Meaningful Approximation: a Case Study on Approximating Turing Machines with Transformers. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Weinstein Eli N. et al. Non-identifiability and the Blessings of Misspecification in Models of Molecular Fitness. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Weinzaepfel Philippe et al. CroCo: Self-Supervised Pre-training for 3D Vision Tasks by Cross-View Completion. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Weiss Martin et al. Neural Attentive Circuits. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Wenger E. et al. SALSA: Attacking Lattice Cryptography with Transformers. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Wenger Emily et al. Finding Naturally Occurring Physical Backdoors in Image Datasets. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Wu Changlong et al. Precise Regret Bounds for Log-loss via a Truncated Bayesian Algorithm. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Wu Jingfeng et al. The Power and Limitation of Pretraining-Finetuning for Linear Regression under Covariate Shift. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Wu R. et al. Human-Robotic Prosthesis as Collaborating Agents for Symmetrical Walking. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Wu Ruofan et al. Human-Robotic Prosthesis as Collaborating Agents for SymmetricalWalking. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Wu Y. et al. Autoformalization with Large Language Models. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Xiao Feiyi et al. Estimating graphical models for count data with applications to single-cell gene network. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Xia Xiaobo et al. Pluralistic Image Completion with Gaussian Mixture Models. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Xing Yue et al. Phase Transition from Clean Training to Adversarial Training. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Xingyi Yang et al. Deep Model Reassembly. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022 p. &
Xu Ning et al. One Positive Label is Sufficient: Single-Positive Multi-Label Learning with Label Enhancement. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Xu Siqi et al. DeepMed: Semiparametric Causal Mediation Analysis with Debiased Deep Learning. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Xu Yufei et al. ViTPose: Simple Vision Transformer Baselines for Human Pose Estimation. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Yang Mengjiao et al. Chain of Thought Imitation with Procedure Cloning. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Yang Yaming et al. Self-supervised Heterogeneous Graph Pre-training Based on Structural Clustering. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Yang Yongyi et al. Transformers from an Optimization Perspective. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Yang-Zhao Samuel et al. A Direct Approximation of AIXI Using Logical State Abstractions. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Yao Jian et al. Self-supervised Amodal Video Object Segmentation. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Yaras Can et al. Neural Collapse with Normalized Features: A Geometric Analysis over the Riemannian Manifold. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Yehuda Ofer et al. Active Learning Through a Covering Lens. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Ye Weirui et al. Spending Thinking Time Wisely: Accelerating MCTS with Virtual Expansions. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Yin Rong et al. Randomized Sketches for Clustering: Fast and Optimal Kernel k-Means. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Yurtsever Alp et al. CCCP is Frank-Wolfe in disguise. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022 p. online
Yu Z. et al. Power and limitations of single-qubit native quantum neural networks. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022 p. &
Zeng Jun et al. NeuroSchedule: A Novel Effective GNN-based Scheduling Method for High-level Synthesis. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Zeng Xianli et al. Fair Bayes-Optimal Classifiers Under Predictive Parity. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Zhang D. et al. Modeling Transitivity and Cyclicity in Directed Graphs via Binary Code Box Embeddings. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Zhang Fengzhuo et al. Relational Reasoning via Set Transformers: Provable Efficiency and Applications to MARL. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Zhang Huan et al. General Cutting Planes for Bound-Propagation-Based Neural Network Verification. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Zhang Jiujia et al. Parameter-free Regret in High Probability with Heavy Tails. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Zhang Junzhe et al. Online Reinforcement Learning for Mixed Policy Scopes. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Zhang Liang et al. Bring Your Own Algorithm for Optimal Differentially Private Stochastic Minimax Optimization. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Zhang Lijun et al. Smoothed Online Convex Optimization Based on Discounted-Normal-Predictor. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Zhang Peirong et al. MSDS: A Large-Scale Chinese Signature and Token Digit String Dataset for Handwriting Verification. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Zhang Wei et al. Leveraging The Hints: Adaptive Bidding in Repeated First-Price Auctions. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Zhang Xuan et al. SAPD plus : An Accelerated Stochastic Method for Nonconvex-Concave Minimax Problems. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Zhang Yizhou et al. Counterfactual Neural Temporal Point Process for Estimating Causal Influence of Misinformation on Social Media. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Zhang Zeyang et al. Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Zhang Zhen et al. Truncated Matrix Power Iteration for Differentiable DAG Learning. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Zhao Dan. Combining Explicit and Implicit Regularization for Efficient Learning in Deep Networks. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Zhao Lingxiao et al. A Practical, Progressively-Expressive GNN. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Zhao Rui et al. Learning Optical Flow from Continuous Spike Streams. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Zheng Runkai et al. Pre-activation Distributions Expose Backdoor Neurons. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Zheng Yuping et al. Constrained Langevin Algorithms with L-mixing External Random Variables. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Zhou Jinxin et al. Are All Losses Created Equal: A Neural Collapse Perspective. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Zhou Lijia et al. A Non-Asymptotic Moreau Envelope Theory for High-Dimensional Generalized Linear Models. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Zhou Xinyu et al. Task-level Differentially Private Meta Learning. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Zhou Y. et al. OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test Graphs. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Zhu Xinyun et al. Tracking Functional Changes in Nonstationary Signals with Evolutionary Ensemble Bayesian Model for Robust Neural Decoding. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Zou Difan et al. Risk Bounds of Multi-Pass SGD for Least Squares in the Interpolation Regime. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dynamic Graphs. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022
Antsiferova Anastasia et al. Video compression dataset and benchmark of learning-based video-quality metrics. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022 pp. 1-12
Doimo Diego et al. Redundant representations help generalization in wide neural networks. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022 p. 1
Feng Yasong et al. Lipschitz Bandits with Batched Feedback. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022 p. 1
Hu Xinyan et al. Incentivizing Combinatorial Bandit Exploration. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022 pp. 1-11
Hyvonen Ville et al. A Multilabel Classification Framework for Approximate Nearest Neighbor Search. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022 p. 1
Li Yang et al. Improving Generative Adversarial Networks via Adversarial Learning in Latent Space. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022 pp. 1-14
Singh Shashank et al. Optimal Binary Classification Beyond Accuracy. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022 pp. 1-15
Tu R. et al. NAS-Bench-360: Benchmarking Neural Architecture Search on Diverse Tasks. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022 p. 1
Zhang Weixia et al. Perceptual Attacks of No-Reference Image Quality Models with Human-in-the-Loop. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022 pp. 1-14
Zhou Y. et al. MoGDE: Boosting Mobile Monocular 3D Object Detection with Ground Depth Estimation. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022 pp. 1-6
Chen H. et al. TreeMoCo: Contrastive Neuron Morphology Representation Learning. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022 p. 10
Chen Hanbo et al. TreeMoCo: Contrastive Neuron Morphology Representation Learning. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022 p. 10
Engelken R. et al. A time-resolved theory of information encoding in recurrent neural networks. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022 p. 10
Engelken Rainer et al. A time-resolved theory of information encoding in recurrent neural networks. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022 p. 10
Zhong W. et al. A theory of learning with constrained weight-distribution. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022 p. 10
Park Sejun et al. Generalization Bounds for Stochastic Gradient Descent via Localized ε-Covers. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022 pp. 2790-2802
Jia Baoxiong et al. EgoTaskQA: Understanding Human Tasks in Egocentric Videos. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022 pp. 3343-3360
Liu Chengchang et al. Quasi-Newton Methods for Saddle Point Problems. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022 pp. 3975-3987
Hanzely Slavomir et al. A Damped Newton Method Achieves Global O(1/k2) and Local Quadratic Convergence Rate. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022 pp. 25320-25334
Lin Tianyi et al. Gradient-Free Methods for Deterministic and Stochastic Nonsmooth Nonconvex Optimization. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022 pp. 26160-26175
Antonakopoulos K. et al. EXTRA-NEWTON: A First Approach to Noise-Adaptive Accelerated Second-Order Methods. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022 pp. 29859-29872
Nishikawa Naoki et al. Two-layer neural network on infinite-dimensional data: global optimization guarantee in the mean-field regime. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022 pp. 32612-32623
Wang Zi et al. A Quantitative Geometric Approach to Neural-Network Smoothness. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022 pp. 34201-34215
Zhang Hualin et al. Zeroth-Order Negative Curvature Finding: Escaping Saddle Points without Gradients. (2022) Megjelent: 36th Conference on Neural Information Processing Systems, NeurIPS 2022 pp. 38332-38344
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2026-01-18 04:47
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Hivatkozás stílusok:
IEEE
ACM
APA
Chicago
Harvard
Nyomtatás
Másolás