conftrace_

information maximization

22 papers

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Co-occurring keywords

mutual information (724) representation learning (6206) semi-supervised learning (2341) information theory (491) multimodal fusion (303) graph neural network (3962) self-supervised learning (3777) transfer learning (5449) contrastive learning (4032) unsupervised learning (3264)

Papers

An Information-theoretic Multi-task Representation Learning Framework for Natural Language Understanding AAAI 2025
InfoBridge: Balanced Multimodal Integration through Conditional Dependency Modeling ICCV 2025
Adaptive Keyframe Sampling for Long Video Understanding CVPR 2025
RGMComm: Return Gap Minimization via Discrete Communications in Multi-Agent Reinforcement Learning AAAI 2024
Minimum Entropy Coupling with Bottleneck NIPS 2024
Beyond Redundancy: Information-aware Unsupervised Multiplex Graph Structure Learning NIPS 2024
Parametric Information Maximization for Generalized Category Discovery ICCV 2023
Ess-InfoGAIL: Semi-supervised Imitation Learning from Imbalanced Demonstrations NIPS 2023
Source-free Domain Adaptive Human Pose Estimation ICCV 2023
Label-Efficient Self-Supervised Speaker Verification With Information Maximization and Contrastive Learning INTERSPEECH 2022
Self-Supervised Learning with an Information Maximization Criterion NIPS 2022
IM-Loss: Information Maximization Loss for Spiking Neural Networks NIPS 2022
Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization NIPS 2021
Improving Multimodal Fusion with Hierarchical Mutual Information Maximization for Multimodal Sentiment Analysis EMNLP 2021
HTCInfoMax: A Global Model for Hierarchical Text Classification via Information Maximization NAACL 2021
Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation ICML 2020
Active Embedding Search via Noisy Paired Comparisons ICML 2019
Racial Faces in the Wild: Reducing Racial Bias by Information Maximization Adaptation Network ICCV 2019
Learning Discrete Representations via Information Maximizing Self-Augmented Training ICML 2017
Squared-loss Mutual Information Regularization: A Novel Information-theoretic Approach to Semi-supervised Learning ICML 2013
Discriminative Clustering by Regularized Information Maximization NIPS 2010
Better than least squares: comparison of objective functions for estimating linear-nonlinear models NIPS 2007