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Representation Learning

2843 directly classified papers

Papers per year

Papers

Marrying Causal Representation Learning with Dynamical Systems for Science NIPS 2024
Offline Multitask Representation Learning for Reinforcement Learning NIPS 2024
PCAD: Towards ASR-Robust Spoken Language Understanding via Prototype Calibration and Asymmetric Decoupling ACL 2024
Few-Shot Diffusion Models Escape the Curse of Dimensionality NIPS 2024
Exploration by Learning Diverse Skills through Successor State Representations NIPS 2024
Disentangled Unsupervised Skill Discovery for Efficient Hierarchical Reinforcement Learning NIPS 2024
What Is Missing For Graph Homophily? Disentangling Graph Homophily For Graph Neural Networks NIPS 2024
Relational Concept Bottleneck Models NIPS 2024
Multi-modal Transfer Learning between Biological Foundation Models NIPS 2024
Decision-Focused Learning with Directional Gradients NIPS 2024
Threads of Subtlety: Detecting Machine-Generated Texts Through Discourse Motifs ACL 2024
Cross-modal Representation Flattening for Multi-modal Domain Generalization NIPS 2024
Unveiling Induction Heads: Provable Training Dynamics and Feature Learning in Transformers NIPS 2024
Linguistically Conditioned Semantic Textual Similarity ACL 2024
NeuMA: Neural Material Adaptor for Visual Grounding of Intrinsic Dynamics NIPS 2024
Learning Structure-Aware Representations of Dependent Types NIPS 2024
Late to the Party? On-Demand Unlabeled Personalized Federated Learning WACV 2024
Analyzing Semantic Change through Lexical Replacements ACL 2024
Language-Specific Neurons: The Key to Multilingual Capabilities in Large Language Models ACL 2024
A Ship of Theseus: Curious Cases of Paraphrasing in LLM-Generated Texts ACL 2024
Memory-Efficient LLM Training with Online Subspace Descent NIPS 2024
Task-recency bias strikes back: Adapting covariances in Exemplar-Free Class Incremental Learning NIPS 2024
Talking Heads: Understanding Inter-Layer Communication in Transformer Language Models NIPS 2024
TEG-DB: A Comprehensive Dataset and Benchmark of Textual-Edge Graphs NIPS 2024
A Canonicalization Perspective on Invariant and Equivariant Learning NIPS 2024