Representation Learning
239 papers
Papers per year
2
2
3
1
2
1
3
6
2
2
10
8
16
13
16
24
14
27
87
'10
'15
'20
'25
Papers
AdaJudge: Adaptive Multi-Perspective Judging for Reward Modeling
ACL 2026
AEA: Adaptive Expert Allocation Improves Sentence Embeddings from Mixture-of-Experts LLM
ACL 2026
A framework for analyzing concept representations in neural models
CoNLL 2026
Anchoring the Affective Manifold: Learning Canonical and Disentangled Representations via Generative Cross-Modal Alignment
ACL 2026
Causal2Vec: Improving Decoder-only LLMs as Embedding Models through a Contextual Token
ACL 2026
Compressing then Matching: An Efficient Pre-training Paradigm for Multimodal Embedding
ACL 2026
Conflict-Aware Adaptive Cross-Reconstruction for Multimodal Sentiment Analysis
CVPR 2026
Coordinate Denoising for Non-Equilibrium Molecular Representation Learning
CVPR 2026
Cov2Pose: Leveraging Spatial Covariance for Direct Manifold-aware 6-DoF Object Pose Estimation
CVPR 2026
Crosscoding Through Time: Tracking Emergence & Consolidation Of Linguistic Representations Throughout LLM Pretraining
ACL 2026
Cross-Modal Taxonomic Generalization in (Vision-) Language Models
ACL 2026
CUNI at SemEval-2026 Task 4: Multi-Head Narrative Aspect Disentanglement via Entangled Synthetic Dataset
SemEval 2026
Deep Feature Deformation Weights
CVPR 2026
Diffusion Mental Averages
CVPR 2026
Diffusion-Pretrained Dense and Contextual Embeddings
ACL 2026
Disentangling Dynamical Systems: Causal Representation Learning Meets Local Sparse Attention
CLeaR 2026
DUTIR at SemEval-2026 Task 4: Narrative Story Similarity and Narrative Representation Learning
SemEval 2026
DVI-DTM: Dual-View Representation Learning for Interpretable Short Text Dynamic Topic Modeling
ACL 2026
Efficient and High-Fidelity Omni Modality Retrieval
CVPR 2026
Explainable Disentangled Representation Learning for Generalizable Authorship Attribution in the Era of Generative AI
ACL 2026
FlowComposer: Composable Flows for Compositional Zero-Shot Learning
CVPR 2026
From Graphs to Hypergraphs: Enhancing Aspect-Term Sentiment Analysis via Multi-Level Relational Modeling
ACL 2026
From Isolation to Entanglement: When Do Interpretability Methods Identify and Disentangle Known Concepts?
ACL 2026
From Moves to Paths: A Hierarchical Framework for Trajectory Representation Learning
UAI 2026
GASE: Graph-Aware Semantic Embedding Learning with Frozen LLMs for Text-Attributed Graphs
ACL 2026