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1907.13625
Cited By
On Mutual Information Maximization for Representation Learning
31 July 2019
Michael Tschannen
Josip Djolonga
Paul Kishan Rubenstein
Sylvain Gelly
Mario Lucic
SSL
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Papers citing
"On Mutual Information Maximization for Representation Learning"
50 / 148 papers shown
Title
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Rethinking Graph Contrastive Learning through Relative Similarity Preservation
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A Tutorial on Discriminative Clustering and Mutual Information
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Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation
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Structural Entropy Guided Unsupervised Graph Out-Of-Distribution Detection
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TwinTURBO: Semi-Supervised Fine-Tuning of Foundation Models via Mutual Information Decompositions for Downstream Task and Latent Spaces
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10 Mar 2025
Dynamic Low-Rank Sparse Adaptation for Large Language Models
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Xiawu Zheng
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InfoBridge: Mutual Information estimation via Bridge Matching
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Sample-efficient Unsupervised Policy Cloning from Ensemble Self-supervised Labeled Videos
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Multilingual Knowledge Graph Completion from Pretrained Language Models with Knowledge Constraints
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08 Mar 2024
Learning to Maximize Mutual Information for Chain-of-Thought Distillation
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Hanxian Huang
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Separating common from salient patterns with Contrastive Representation Learning
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Towards a Unified Framework of Contrastive Learning for Disentangled Representations
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On the Robustness of Aspect-based Sentiment Analysis: Rethinking Model, Data, and Training
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ContraCluster: Learning to Classify without Labels by Contrastive Self-Supervision and Prototype-Based Semi-Supervision
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Looking Similar, Sounding Different: Leveraging Counterfactual Cross-Modal Pairs for Audiovisual Representation Learning
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Generalized Information Bottleneck for Gaussian Variables
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Transformed Distribution Matching for Missing Value Imputation
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Self-Supervised Learning via Maximum Entropy Coding
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