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Learning Theory

5312 directly classified papers

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Papers

LibraGrad: Balancing Gradient Flow for Universally Better Vision Transformer Attributions CVPR 2025
Circuit Compositions: Exploring Modular Structures in Transformer-Based Language Models ACL 2025
Theory-Inspired Deep Multi-View Multi-Label Learning with Incomplete Views and Noisy Labels CVPR 2025
SELF-[IN]CORRECT: LLMs Struggle with Discriminating Self-Generated Responses AAAI 2025
Rethinking Cross-Subject Data Splitting for Brain-to-Text Decoding EMNLP 2025
Effects of Momentum in Implicit Bias of Gradient Flow for Diagonal Linear Networks AAAI 2025
Data Distributional Properties As Inductive Bias for Systematic Generalization CVPR 2025
Bypassing LLM Guardrails: An Empirical Analysis of Evasion Attacks against Prompt Injection and Jailbreak Detection Systems ACL 2025
On the Dynamic Regret of Following the Regularized Leader: Optimism with History Pruning ICML 2025
CARL: Causality-guided Architecture Representation Learning for an Interpretable Performance Predictor ICCV 2025
Every Bit Helps: Achieving the Optimal Distortion with a Few Queries AAAI 2025
Probing the Mid-level Vision Capabilities of Self-Supervised Learning CVPR 2025
Learning-to-Optimize with PAC-Bayesian Guarantees: Theoretical Considerations and Practical Implementation JMLR 2025
Training on the Benchmark Is Not All You Need AAAI 2025
A Unified Interpretation of Training-Time Out-of-Distribution Detection ICCV 2025
Measuring Social Biases in Masked Language Models by Proxy of Prediction Quality ACL 2025
A Novel Computational Modeling Foundation for Automatic Coherence Assessment NAACL 2025
PAC-Bayes-Chernoff bounds for unbounded losses NIPS 2024
Is Knowledge Power? On the (Im)possibility of Learning from Strategic Interactions NIPS 2024
Low-rank MDPs with Continuous Action Spaces AISTATS 2024
Auditing Local Explanations is Hard NIPS 2024
Sequential Probability Assignment with Contexts: Minimax Regret, Contextual Shtarkov Sums, and Contextual Normalized Maximum Likelihood NIPS 2024
Fully Unconstrained Online Learning NIPS 2024
Topological Generalization Bounds for Discrete-Time Stochastic Optimization Algorithms NIPS 2024
NeuralSolver: Learning Algorithms For Consistent and Efficient Extrapolation Across General Tasks NIPS 2024