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Learning Theory

5312 directly classified papers

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Papers

On the Hardness of Training Deep Neural Networks Discretely AAAI 2025
Scalable Acceleration for Classification-Based Derivative-Free Optimization AAAI 2025
Generalization Analysis for Deep Contrastive Representation Learning AAAI 2025
Stability and Generalization of Zeroth-Order Decentralized Stochastic Gradient Descent with Changing Topology AAAI 2025
When Can We Approximate Wide Contrastive Models with Neural Tangent Kernels and Principal Component Analysis? AAAI 2025
Generalized Convergence Analysis of Tsetlin Automaton Based Algorithms: A Probabilistic Approach to Concept Learning AAAI 2025
Learnability of Parameter-Bounded Bayes Nets AAAI 2025
Error Analysis Affected by Heavy-Tailed Gradients for Non-Convex Pairwise Stochastic Gradient Descent AAAI 2025
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? AAAI 2025
Nearly Tight Bounds for Exploration in Streaming Multi-Armed Bandits with Known Optimality Gap AAAI 2025
Every Bit Helps: Achieving the Optimal Distortion with a Few Queries AAAI 2025
Sample Complexity of Linear Regression Models for Opinion Formation in Networks AAAI 2025
Towards a Holistic and Automated Evaluation Framework for Multi-Level Comprehension of LLMs in Book-Length Contexts EMNLP 2025
Information Locality as an Inductive Bias for Neural Language Models ACL 2025
Tokenization and Representation Biases in Multilingual Models on Dialectal NLP Tasks EMNLP 2025
Improving Generalization of Deep Neural Networks by Optimum Shifting AAAI 2025
Evaluating Robustness of LLMs to Numerical Variations in Mathematical Reasoning NAACL 2025
LogiDynamics: Unraveling the Dynamics of Inductive, Abductive and Deductive Logical Inferences in LLM Reasoning EMNLP 2025
Pitfalls of Scale: Investigating the Inverse Task of Redefinition in Large Language Models ACL 2025
EvoChart: A Benchmark and a Self-Training Approach Towards Real-World Chart Understanding AAAI 2025
LogRules: Enhancing Log Analysis Capability of Large Language Models through Rules NAACL 2025
Mechanistic Unveiling of Transformer Circuits: Self-Influence as a Key to Model Reasoning NAACL 2025
Rosetta-PL: Propositional Logic as a Benchmark for Large Language Model Reasoning NAACL 2025
Does GPT Really Get It? A Hierarchical Scale to Quantify Human and AI’s Understanding of Algorithms AAAI 2025
A Novel Computational Modeling Foundation for Automatic Coherence Assessment NAACL 2025