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Representation Learning

2843 directly classified papers

Papers per year

Papers

Late to the Party? On-Demand Unlabeled Personalized Federated Learning WACV 2024
ECSIC: Epipolar Cross Attention for Stereo Image Compression WACV 2024
Convolutional Channel-Wise Competitive Learning for the Forward-Forward Algorithm AAAI 2024
Distilling Reliable Knowledge for Instance-Dependent Partial Label Learning AAAI 2024
Abstract and Explore: A Novel Behavioral Metric with Cyclic Dynamics in Reinforcement Learning AAAI 2024
CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic Segmentation CVPR 2024
BEM: Balanced and Entropy-based Mix for Long-Tailed Semi-Supervised Learning CVPR 2024
Structural Entropy Based Graph Structure Learning for Node Classification AAAI 2024
An Entropy-Based Model for Hierarchical Learning JMLR 2024
DAG-Aware Variational Autoencoder for Social Propagation Graph Generation AAAI 2024
Studying the Interplay between Information Loss and Operation Loss in Representations for Classification JMLR 2024
Adaptive Hardness Negative Sampling for Collaborative Filtering AAAI 2024
An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention AAAI 2024
Transformers Learn Transition Dynamics when Trained to Predict Markov Decision Processes EMNLP 2024
Towards Interpretable Hate Speech Detection using Large Language Model-extracted Rationales NAACL 2024
Label Confidence Weighted Learning for Target-level Sentence Simplification EMNLP 2024
Are there identifiable structural parts in the sentence embedding whole? EMNLP 2024
Sparse Representer Theorems for Learning in Reproducing Kernel Banach Spaces JMLR 2024
Enhancing Language Model Factuality via Activation-Based Confidence Calibration and Guided Decoding EMNLP 2024
If CLIP Could Talk: Understanding Vision-Language Model Representations Through Their Preferred Concept Descriptions EMNLP 2024
Distributional Properties of Subword Regularization EMNLP 2024
TriSampler: A Better Negative Sampling Principle for Dense Retrieval AAAI 2024
A Kernel Test for Causal Association via Noise Contrastive Backdoor Adjustment JMLR 2024
Explaining and Improving Contrastive Decoding by Extrapolating the Probabilities of a Huge and Hypothetical LM EMNLP 2024
Enhancing Systematic Decompositional Natural Language Inference Using Informal Logic EMNLP 2024