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724 papers

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MI

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representation learning (6206) contrastive learning (4032) information theory (491) variational inference (2069) information bottleneck (229) unsupervised learning (3264) self-supervised learning (3777) variational autoencoder (1288) graph neural network (3962) disentangled representation (521)

Papers

DirectProbe: Studying Representations without Classifiers NAACL 2021
Learning Cross-Modal Retrieval With Noisy Labels CVPR 2021
Adaptive Cross-Modal Prototypes for Cross-Domain Visual-Language Retrieval CVPR 2021
Farewell to Mutual Information: Variational Distillation for Cross-Modal Person Re-Identification CVPR 2021
Complementary Relation Contrastive Distillation CVPR 2021
Deep Descriptive Clustering IJCAI 2021
Bird’s Eye: Probing for Linguistic Graph Structures with a Simple Information-Theoretic Approach IJCNLP 2021
Re-embedding Difficult Samples via Mutual Information Constrained Semantically Oversampling for Imbalanced Text Classification EMNLP 2021
Learning Bias-Invariant Representation by Cross-Sample Mutual Information Minimization ICCV 2021
InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training NAACL 2021
Realistic evaluation of transductive few-shot learning NIPS 2021
Making a (Counterfactual) Difference One Rationale at a Time NIPS 2021
Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning ICML 2021
Surface Form Competition: Why the Highest Probability Answer Isn’t Always Right EMNLP 2021
Are Gender-Neutral Queries Really Gender-Neutral? Mitigating Gender Bias in Image Search EMNLP 2021
APS: Active Pretraining with Successor Features ICML 2021
ACAV100M: Automatic Curation of Large-Scale Datasets for Audio-Visual Video Representation Learning ICCV 2021
Learning Latent Architectural Distribution in Differentiable Neural Architecture Search via Variational Information Maximization ICCV 2021
Celebrating Diversity in Shared Multi-Agent Reinforcement Learning NIPS 2021
Contrastive Reinforcement Learning of Symbolic Reasoning Domains NIPS 2021
A Scalable Gradient Free Method for Bayesian Experimental Design with Implicit Models AISTATS 2021
Unsupervised Representation Learning via Neural Activation Coding ICML 2021
Hierarchical Information Criterion for Variable Abstraction MLHC 2021
VQMIVC: Vector Quantization and Mutual Information-Based Unsupervised Speech Representation Disentanglement for One-Shot Voice Conversion INTERSPEECH 2021
Distiller: A Systematic Study of Model Distillation Methods in Natural Language Processing EMNLP 2021