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Learning Theory

5312 directly classified papers

Papers per year

Papers

Uncovering Scaling Laws for Large Language Models via Inverse Problems EMNLP 2025
Unveiling Internal Reasoning Modes in LLMs: A Deep Dive into Latent Reasoning vs. Factual Shortcuts with Attribute Rate Ratio EMNLP 2025
A Theory of Learning Unified Model via Knowledge Integration from Label Space Varying Domains CVPR 2025
Do We Always Need the Simplicity Bias? Looking for Optimal Inductive Biases in the Wild CVPR 2025
Neural Networks Perform Sufficient Dimension Reduction AAAI 2025
Reminiscence Attack on Residuals: Exploiting Approximate Machine Unlearning for Privacy ICCV 2025
Do ImageNet-trained Models Learn Shortcuts? The Impact of Frequency Shortcuts on Generalization CVPR 2025
OVO-Bench: How Far is Your Video-LLMs from Real-World Online Video Understanding? CVPR 2025
Investigating Motivated Inference in Large Language Models EMNLP 2025
LibraGrad: Balancing Gradient Flow for Universally Better Vision Transformer Attributions CVPR 2025
A Neuro-Symbolic Framework for Sequence Classification with Relational and Temporal Knowledge IJCAI 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
Benchmarking Deep Search over Heterogeneous Enterprise Data EMNLP 2025
Data Distributional Properties As Inductive Bias for Systematic Generalization CVPR 2025
Learning-to-Optimize with PAC-Bayesian Guarantees: Theoretical Considerations and Practical Implementation JMLR 2025
High-Dimensional L2-Boosting: Rate of Convergence JMLR 2025
Which Word Orders Facilitate Length Generalization in LMs? An Investigation with GCG-Based Artificial Languages EMNLP 2025
Probing the Mid-level Vision Capabilities of Self-Supervised Learning CVPR 2025
Training on the Benchmark Is Not All You Need AAAI 2025
CAPTURE: Evaluating Spatial Reasoning in Vision Language Models via Occluded Object Counting ICCV 2025
A Theory of Response Sampling in LLMs: Part Descriptive and Part Prescriptive ACL 2025
From Parameters to Performance: A Data-Driven Study on LLM Structure and Development EMNLP 2025
Exploring the Over-smoothing Problem of Graph Neural Networks for Graph Classification: An Entropy-based Viewpoint IJCAI 2025