Learning Theory
6,809 papers
Papers per year
1
16
16
15
17
34
39
36
40
73
85
80
100
126
128
134
186
231
408
512
684
730
905
1,112
883
218
'5
'10
'15
'20
'25
Papers
Long-Tailed Learning Requires Feature Learning
ICLR 2023
Long-Tailed Visual Recognition via Self-Heterogeneous Integration With Knowledge Excavation
CVPR 2023
Long-Term Fairness with Unknown Dynamics
NeurIPS 2023
Loss Dynamics of Temporal Difference Reinforcement Learning
NeurIPS 2023
Lower Bounds and Accelerated Algorithms for Bilevel Optimization
JMLR 2023
Lower Bounds for Learning in Revealing POMDPs
ICML 2023
Lower Bounds for the Convergence of Tensor Power Iteration on Random Overcomplete Models
COLT 2023
Lower Bounds on Adaptive Sensing for Matrix Recovery
NeurIPS 2023
Make Every Example Count: On the Stability and Utility of Self-Influence for Learning from Noisy NLP Datasets
EMNLP 2023
Malign Overfitting: Interpolation and Invariance are Fundamentally at Odds
ICLR 2023
Marginalization is not Marginal: No Bad VAE Local Minima when Learning Optimal Sparse Representations
ICML 2023
Maximal Initial Learning Rates in Deep ReLU Networks
ICML 2023
Maximum likelihood estimation in Gaussian process regression is ill-posed
JMLR 2023
Max-Margin Works while Large Margin Fails: Generalization without Uniform Convergence
ICLR 2023
Measuring the Impact of Programming Language Distribution
ICML 2023
Measuring the Knowledge Acquisition-Utilization Gap in Pretrained Language Models
EMNLP 2023
Memorisation Cartography: Mapping out the Memorisation-Generalisation Continuum in Neural Machine Translation
EMNLP 2023
Mind the spikes: Benign overfitting of kernels and neural networks in fixed dimension
NeurIPS 2023
Minimax Optimal Kernel Operator Learning via Multilevel Training
ICLR 2023
Minimax Optimal Rate for Parameter Estimation in Multivariate Deviated Models
NeurIPS 2023
Minimizing Dynamic Regret on Geodesic Metric Spaces
COLT 2023
Minimum Width of Leaky-ReLU Neural Networks for Uniform Universal Approximation
ICML 2023
Misspecification in Inverse Reinforcement Learning
AAAI 2023
Mitigating Transformer Overconfidence via Lipschitz Regularization
UAI 2023
Mnemonist: Locating Model Parameters that Memorize Training Examples
UAI 2023