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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

Prune and distill: similar reformatting of image information along rat visual cortex and deep neural networks NIPS 2022
Unsupervised Learning of Group Invariant and Equivariant Representations NIPS 2022
HG2Vec: Improved Word Embeddings from Dictionary and Thesaurus Based Heterogeneous Graph COLING 2022
Where Does Linguistic Information Emerge in Neural Language Models? Measuring Gains and Contributions across Layers COLING 2022
Distilling Representations from GAN Generator via Squeeze and Span NIPS 2022
Towards Understanding Grokking: An Effective Theory of Representation Learning NIPS 2022
MCMAE: Masked Convolution Meets Masked Autoencoders NIPS 2022
Unsupervised Learning of Shape Programs with Repeatable Implicit Parts NIPS 2022
CERES: Pretraining of Graph-Conditioned Transformer for Semi-Structured Session Data NAACL 2022
Understand before Answer: Improve Temporal Reading Comprehension via Precise Question Understanding NAACL 2022
Socially Aware Bias Measurements for Hindi Language Representations NAACL 2022
Representation Learning for Conversational Data using Discourse Mutual Information Maximization NAACL 2022
Domain Confused Contrastive Learning for Unsupervised Domain Adaptation NAACL 2022
Disentangling Categorization in Multi-agent Emergent Communication NAACL 2022
Cross-modal Contrastive Learning for Speech Translation NAACL 2022
Visual Commonsense in Pretrained Unimodal and Multimodal Models NAACL 2022
Learning Unseen Emotions from Gestures via Semantically-Conditioned Zero-Shot Perception with Adversarial Autoencoders AAAI 2022
Towards Bridging Sample Complexity and Model Capacity AAAI 2022
Cross-Modal Federated Human Activity Recognition via Modality-Agnostic and Modality-Specific Representation Learning AAAI 2022
DANets: Deep Abstract Networks for Tabular Data Classification and Regression AAAI 2022
Semi-supervised Learning with Multi-Head Co-Training AAAI 2022
Learning from the Dark: Boosting Graph Convolutional Neural Networks with Diverse Negative Samples AAAI 2022
Competing Mutual Information Constraints with Stochastic Competition-Based Activations for Learning Diversified Representations AAAI 2022
Neural Networks Classify through the Class-Wise Means of Their Representations AAAI 2022
Context Uncertainty in Contextual Bandits with Applications to Recommender Systems AAAI 2022