Theory
5,579 papers
Papers per year
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4
32
25
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47
78
67
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103
156
267
383
486
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713
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154
2000
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Papers
A Convergence Theory for SVGD in the Population Limit under Talagrand’s Inequality T1
ICML 2022
Adapting k-means Algorithms for Outliers
ICML 2022
A Deeper Understanding of State-Based Critics in Multi-Agent Reinforcement Learning
AAAI 2022
A Dimensionality Reduction Method for Finding Least Favorable Priors with a Focus on Bregman Divergence
AISTATS 2022
Adversarial Concept Erasure in Kernel Space
EMNLP 2022
Adversarial Robustness is at Odds with Lazy Training
NeurIPS 2022
A Dynamical System Perspective for Lipschitz Neural Networks
ICML 2022
A Few More Examples May Be Worth Billions of Parameters
EMNLP 2022
A general approximation lower bound in L^p norm, with applications to feed-forward neural networks
NeurIPS 2022
A global analysis of metrics used for measuring performance in natural language processing
ACL 2022
A global convergence theory for deep ReLU implicit networks via over-parameterization
ICLR 2022
A gradient sampling method with complexity guarantees for Lipschitz functions in high and low dimensions
NeurIPS 2022
Agreement-on-the-line: Predicting the Performance of Neural Networks under Distribution Shift
NeurIPS 2022
Agree To Disagree: When Deep Learning Models With Identical Architectures Produce Distinct Explanations
WACV 2022
Almost Optimal Universal Lower Bound for Learning Causal DAGs with Atomic Interventions
AISTATS 2022
Almost Tight L0-norm Certified Robustness of Top-k Predictions against Adversarial Perturbations
ICLR 2022
A Manifold View of Adversarial Risk
AISTATS 2022
A Multivariate Complexity Analysis of Qualitative Reasoning Problems
IJCAI 2022
Analysis of a Target-Based Actor-Critic Algorithm with Linear Function Approximation
AISTATS 2022
Analysis of Langevin Monte Carlo from Poincare to Log-Sobolev
COLT 2022
Analytical Reasoning of Text
NAACL 2022
Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models
ICLR 2022
Analyzing Lottery Ticket Hypothesis from PAC-Bayesian Theory Perspective
NeurIPS 2022
Analyzing Sharpness along GD Trajectory: Progressive Sharpening and Edge of Stability
NeurIPS 2022
Analyzing the Use of Influence Functions for Instance-Specific Data Filtering in Neural Machine Translation
EMNLP 2022