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Representation Learning

2843 directly classified papers

Papers per year

Papers

Tracking the perspectives of interacting language models EMNLP 2024
PredToken: Predicting Unknown Tokens and Beyond with Coarse-to-Fine Iterative Decoding CVPR 2024
Can We Continually Edit Language Models? On the Knowledge Attenuation in Sequential Model Editing ACL 2024
Conditions on Preference Relations that Guarantee the Existence of Optimal Policies AISTATS 2024
Self-Consistent Reasoning-based Aspect-Sentiment Quad Prediction with Extract-Then-Assign Strategy ACL 2024
Approximate Bayesian Class-Conditional Models under Continuous Representation Shift AISTATS 2024
CausalCite: A Causal Formulation of Paper Citations ACL 2024
Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps EMNLP 2024
Euclidean, Projective, Conformal: Choosing a Geometric Algebra for Equivariant Transformers AISTATS 2024
Multi-Resolution Active Learning of Fourier Neural Operators AISTATS 2024
Learning Planning-based Reasoning by Trajectories Collection and Process Reward Synthesizing EMNLP 2024
Disentangled Partial Label Learning AAAI 2024
Free-form Flows: Make Any Architecture a Normalizing Flow AISTATS 2024
Learning Dynamics in Linear VAE: Posterior Collapse Threshold, Superfluous Latent Space Pitfalls, and Speedup with KL Annealing AISTATS 2024
Multi-Domain Causal Representation Learning via Weak Distributional Invariances AISTATS 2024
Theory-guided Message Passing Neural Network for Probabilistic Inference AISTATS 2024
Learning Multi-Dimensional Human Preference for Text-to-Image Generation CVPR 2024
Contextrast: Contextual Contrastive Learning for Semantic Segmentation CVPR 2024
HGDL: Heterogeneous Graph Label Distribution Learning NIPS 2024
Emergent specialization from participation dynamics and multi-learner retraining AISTATS 2024
Double InfoGAN for Contrastive Analysis AISTATS 2024
Check Locate Rectify: A Training-Free Layout Calibration System for Text-to-Image Generation CVPR 2024
Achieving Fairness through Separability: A Unified Framework for Fair Representation Learning AISTATS 2024
Not All Classes Stand on Same Embeddings: Calibrating a Semantic Distance with Metric Tensor CVPR 2024
BEM: Balanced and Entropy-based Mix for Long-Tailed Semi-Supervised Learning CVPR 2024