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Learning Theory

5312 directly classified papers

Papers per year

Papers

Nonparametric Regression Using Over-parameterized Shallow ReLU Neural Networks JMLR 2024
Separation and Bias of Deep Equilibrium Models on Expressivity and Learning Dynamics NIPS 2024
PAC-Bayes Generalisation Bounds for Dynamical Systems including Stable RNNs AAAI 2024
Scaling Properties of Speech Language Models EMNLP 2024
Collaborative Performance Prediction for Large Language Models EMNLP 2024
Can Large Language Models Always Solve Easy Problems if They Can Solve Harder Ones? EMNLP 2024
Language Models Learn Rare Phenomena from Less Rare Phenomena: The Case of the Missing AANNs EMNLP 2024
Double-Descent Curves in Neural Networks: A New Perspective Using Gaussian Processes AAAI 2024
FRoG: Evaluating Fuzzy Reasoning of Generalized Quantifiers in LLMs EMNLP 2024
Depth Degeneracy in Neural Networks: Vanishing Angles in Fully Connected ReLU Networks on Initialization JMLR 2024
A Peek into Token Bias: Large Language Models Are Not Yet Genuine Reasoners EMNLP 2024
How Two-Layer Neural Networks Learn, One (Giant) Step at a Time JMLR 2024
Iterative Regularization with k-support Norm: An Important Complement to Sparse Recovery AAAI 2024
Do LLMs Overcome Shortcut Learning? An Evaluation of Shortcut Challenges in Large Language Models EMNLP 2024
On the In-context Generation of Language Models EMNLP 2024
Low Degree Hardness for Broadcasting on Trees NIPS 2024
Understanding the Generalization Benefits of Late Learning Rate Decay AISTATS 2024
Which Is More Effective in Label Noise Cleaning, Correction or Filtering? AAAI 2024
A Curious Case of Searching for the Correlation between Training Data and Adversarial Robustness of Transformer Textual Models ACL 2024
NeuralSolver: Learning Algorithms For Consistent and Efficient Extrapolation Across General Tasks NIPS 2024
Active learning of neural population dynamics using two-photon holographic optogenetics NIPS 2024
To Pool or Not To Pool: Analyzing the Regularizing Effects of Group-Fair Training on Shared Models AISTATS 2024
Better Representations via Adversarial Training in Pre-Training: A Theoretical Perspective AISTATS 2024
Least Squares Regression Can Exhibit Under-Parameterized Double Descent NIPS 2024
A Comprehensive Analysis on the Learning Curve in Kernel Ridge Regression NIPS 2024