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Learning Theory

5,334 papers

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Papers

Are Sample-Efficient NLP Models More Robust? ACL 2023
Probing for Hyperbole in Pre-Trained Language Models ACL 2023
Grammar-based Decoding for Improved Compositional Generalization in Semantic Parsing ACL 2023
Quantifying Train-Evaluation Overlap with Nearest Neighbors ACL 2023
TextVerifier: Robustness Verification for Textual Classifiers with Certifiable Guarantees ACL 2023
Rethinking Document-Level Relation Extraction: A Reality Check ACL 2023
Revisiting Sample Size Determination in Natural Language Understanding ACL 2023
Beyond Positive Scaling: How Negation Impacts Scaling Trends of Language Models ACL 2023
Scaling Laws for BERT in Low-Resource Settings ACL 2023
Delving into the Openness of CLIP ACL 2023
MTR: A Dataset Fusing Inductive, Deductive, and Defeasible Reasoning ACL 2023
How does the task complexity of masked pretraining objectives affect downstream performance? ACL 2023
Probing Graph Decomposition for Argument Pair Extraction ACL 2023
Discovering Language Model Behaviors with Model-Written Evaluations ACL 2023
Scalable Performance Analysis for Vision-Language Models ACL 2023
Optimal Nonlinearities Improve Generalization Performance of Random Features ACML 2023
Intractability of Learning the Discrete Logarithm with Gradient-Based Methods ACML 2023
Origins of Low-Dimensional Adversarial Perturbations AISTATS 2023
Improved Generalization Bound and Learning of Sparsity Patterns for Data-Driven Low-Rank Approximation AISTATS 2023
PAC Learning of Halfspaces with Malicious Noise in Nearly Linear Time AISTATS 2023
Learning k-qubit Quantum Operators via Pauli Decomposition AISTATS 2023
Semi-Verified PAC Learning from the Crowd AISTATS 2023
On the Capacity Limits of Privileged ERM AISTATS 2023
Bayesian Structure Scores for Probabilistic Circuits AISTATS 2023
Global Convergence of Over-parameterized Deep Equilibrium Models AISTATS 2023