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Learning Theory

5312 directly classified papers

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Papers

Inference Scaling Law for Retrieval Augmented Generation AAAI 2026
Learning DFAs from Positive Examples Only via Word Counting AAAI 2026
Lexical Popularity: Quantifying the Impact of Pre-training for LLM Performance EACL 2026
BLEnD-Vis: Benchmarking Multimodal Cultural Understanding in Vision Language Models EACL 2026
A Switching Framework for Online Interval Scheduling with Predictions AAAI 2026
Stochastic Decentralized Optimization of Non-Smooth Convex and Convex-Concave Problems over Time-Varying Networks AAAI 2026
Capacity Constraints Make Admissions Processes Less Predictable AAAI 2026
Geometrically Inspired Kernel Machines for Collaborative Learning Beyond Gradient Descent (Abstract Reprint) AAAI 2026
Surprisal and Metaphor Novelty Judgments: Moderate Correlations and Divergent Scaling Effects Revealed by Corpus-Based and Synthetic Datasets EACL 2026
Exploring Depth Generalization in Large Language Models for Solving Recursive Logic Tasks AAAI 2026
Large Language Models Exhibit Limited Reasoning Ability on Coding Problems AACL 2025
The Inter-Intra Modal Measure: A Predictive Lens on Fine-Tuning Outcomes in Vision-Language Models ICCV 2025
CARL: Causality-guided Architecture Representation Learning for an Interpretable Performance Predictor ICCV 2025
Identifying Noise in Human-Created Datasets using Training Dynamics from Generative Models EMNLP 2025
Do BERT-Like Bidirectional Models Still Perform Better on Text Classification in the Era of LLMs? EMNLP 2025
Benchmarking Large Language Models for Cryptanalysis and Side-Channel Vulnerabilities EMNLP 2025
Do ImageNet-trained Models Learn Shortcuts? The Impact of Frequency Shortcuts on Generalization CVPR 2025
ScaMo: Exploring the Scaling Law in Autoregressive Motion Generation Model CVPR 2025
Identifying and Mitigating Spurious Correlation in Multi-Task Learning CVPR 2025
Frequency & Compositionality in Emergent Communication EMNLP 2025
Investigating the Role of Weight Decay in Enhancing Nonconvex SGD CVPR 2025
Adaptively profiling models with task elicitation EMNLP 2025
Reminiscence Attack on Residuals: Exploiting Approximate Machine Unlearning for Privacy ICCV 2025
A Unified Interpretation of Training-Time Out-of-Distribution Detection ICCV 2025
Mind the Gap: How BabyLMs Learn Filler-Gap Dependencies EMNLP 2025