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representation learning

6174 papers

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Also known as

WAV2VEC2.0 RL NRMS NDFS

Co-occurring keywords

contrastive learning (3979) self-supervised learning (3751) transfer learning (5442) neural network (6616) unsupervised learning (3255) graph neural network (3945) multimodal learning (4622) domain adaptation (4578) feature learning (1309) language model (4573)

Papers

Learning to Discern: Imitating Heterogeneous Human Demonstrations with Preference and Representation Learning CORL 2023
A Data-Efficient Visual-Audio Representation with Intuitive Fine-tuning for Voice-Controlled Robots CORL 2023
Polybot: Training One Policy Across Robots While Embracing Variability CORL 2023
Dexterity from Touch: Self-Supervised Pre-Training of Tactile Representations with Robotic Play CORL 2023
Federated learning of models pre-trained on different features with consensus graphs UAI 2023
On the informativeness of supervision signals UAI 2023
MMEL: A Joint Learning Framework for Multi-Mention Entity Linking UAI 2023
SubMix: Learning to Mix Graph Sampling Heuristics UAI 2023
Backward Feature Correction: How Deep Learning Performs Deep (Hierarchical) Learning COLT 2023
Provable Benefits of Representational Transfer in Reinforcement Learning COLT 2023
InfoNCE Loss Provably Learns Cluster-Preserving Representations COLT 2023
Language-Driven Representation Learning for Robotics RSS 2023
University at Buffalo at SemEval-2023 Task 11: MASDA–Modelling Annotator Sensibilities through DisAggregation SEMEVAL 2023
Better Pre-Training by Reducing Representation Confusion EACL 2023
Shorten the Long Tail for Rare Entity and Event Extraction EACL 2023
Does Topological Ordering of Morphological Segments Reduce Morphological Modeling Complexity? A Preliminary Study on 13 Languages EACL 2023
Improving Unsupervised Out-of-domain detection through Pseudo Labeling and Learning EACL 2023
Implicit Graphon Neural Representation AISTATS 2023
Weisfeiler and Leman go Hyperbolic: Learning Distance Preserving Node Representations AISTATS 2023
Deep equilibrium models as estimators for continuous latent variables AISTATS 2023
Adversarial De-confounding in Individualised Treatment Effects Estimation AISTATS 2023
Blessing of Class Diversity in Pre-training AISTATS 2023
T-Phenotype: Discovering Phenotypes of Predictive Temporal Patterns in Disease Progression AISTATS 2023
Unsupervised representation learning with recognition-parametrised probabilistic models AISTATS 2023
Multi-task Representation Learning with Stochastic Linear Bandits AISTATS 2023