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representation learning

6206 papers

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Also known as

RL

Co-occurring keywords

contrastive learning (4032) self-supervised learning (3777) transfer learning (5449) neural network (6616) unsupervised learning (3264) graph neural network (3962) multimodal learning (4645) domain adaptation (4595) feature learning (1311) language model (4599)

Papers

Can Transformers Smell Like Humans? NIPS 2024
Latent Functional Maps: a spectral framework for representation alignment NIPS 2024
LoTLIP: Improving Language-Image Pre-training for Long Text Understanding NIPS 2024
The Evolution of Statistical Induction Heads: In-Context Learning Markov Chains NIPS 2024
Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference NIPS 2024
Disentangled Style Domain for Implicit $z$-Watermark Towards Copyright Protection NIPS 2024
Abrupt Learning in Transformers: A Case Study on Matrix Completion NIPS 2024
Vision Mamba Mender NIPS 2024
Continuous Contrastive Learning for Long-Tailed Semi-Supervised Recognition NIPS 2024
Monomial Matrix Group Equivariant Neural Functional Networks NIPS 2024
Learning Better Representations From Less Data For Propositional Satisfiability NIPS 2024
Training Dynamics of Transformers to Recognize Word Co-occurrence via Gradient Flow Analysis NIPS 2024
Interactive Deep Clustering via Value Mining NIPS 2024
WikiDBs: A Large-Scale Corpus Of Relational Databases From Wikidata NIPS 2024
FUG: Feature-Universal Graph Contrastive Pre-training for Graphs with Diverse Node Features NIPS 2024
End-to-end Learnable Clustering for Intent Learning in Recommendation NIPS 2024
Transferring disentangled representations: bridging the gap between synthetic and real images NIPS 2024
How does Gradient Descent Learn Features --- A Local Analysis for Regularized Two-Layer Neural Networks NIPS 2024
Learning to Shape In-distribution Feature Space for Out-of-distribution Detection NIPS 2024
RedEx: Beyond Fixed Representation Methods via Convex Optimization ALT 2024
Descriptor and Word Soups: Overcoming the Parameter Efficiency Accuracy Tradeoff for Out-of-Distribution Few-shot Learning CVPR 2024
Let’s Start Over: Retraining with Selective Samples for Generalized Category Discovery IJCAI 2024
Deciphering the Projection Head: Representation Evaluation Self-supervised Learning IJCAI 2024
HIMap: HybrId Representation Learning for End-to-end Vectorized HD Map Construction CVPR 2024
Learning Hierarchy-Enhanced POI Category Representations Using Disentangled Mobility Sequences IJCAI 2024