Information theoretic underpinning of self-supervised learning by clustering
Fuente:
arXiv
Saved in:
| Main Authors: | Kittler, Josef, Atito, Sara, Awais, Muhammad |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
DailyMAE: Towards Pretraining Masked Autoencoders in One Day
by: Wu, Jiantao, et al.
Published: (2024)
by: Wu, Jiantao, et al.
Published: (2024)
Fast Rate Information-theoretic Bounds on Generalization Errors
by: Wu, Xuetong, et al.
Published: (2023)
by: Wu, Xuetong, et al.
Published: (2023)
Information-theoretic signatures of causality in Bayesian networks and hypergraphs
by: Chiang, Sung En, et al.
Published: (2025)
by: Chiang, Sung En, et al.
Published: (2025)
Towards understanding neural collapse in supervised contrastive learning with the information bottleneck method
by: Wang, Siwei, et al.
Published: (2023)
by: Wang, Siwei, et al.
Published: (2023)
Information-theoretic generalization bounds for learning from quantum data
by: Caro, Matthias, et al.
Published: (2023)
by: Caro, Matthias, et al.
Published: (2023)
Rethinking Positive Pairs in Contrastive Learning
by: Wu, Jiantao, et al.
Published: (2024)
by: Wu, Jiantao, et al.
Published: (2024)
Information-theoretic Bayesian Optimization: Survey and Tutorial
by: Garrido-Merchán, Eduardo C.
Published: (2025)
by: Garrido-Merchán, Eduardo C.
Published: (2025)
Channel-Aware Probing for Multi-Channel Imaging
by: Marikkar, Umar, et al.
Published: (2026)
by: Marikkar, Umar, et al.
Published: (2026)
XAI for Self-supervised Clustering of Wireless Spectrum Activity
by: Milosheski, Ljupcho, et al.
Published: (2023)
by: Milosheski, Ljupcho, et al.
Published: (2023)
WaterSIC: information-theoretically (near) optimal linear layer quantization
by: Lifar, Egor, et al.
Published: (2026)
by: Lifar, Egor, et al.
Published: (2026)
An Information-theoretic Multi-task Representation Learning Framework for Natural Language Understanding
by: Hu, Dou, et al.
Published: (2025)
by: Hu, Dou, et al.
Published: (2025)
Self-supervised Latent Space Optimization with Nebula Variational Coding
by: Wang, Yida, et al.
Published: (2025)
by: Wang, Yida, et al.
Published: (2025)
Some theoretical improvements on the tightness of PAC-Bayes risk certificates for neural networks
by: García-Pérez, Diego, et al.
Published: (2025)
by: García-Pérez, Diego, et al.
Published: (2025)
Graph self-supervised learning based on frequency corruption
by: Li, Haojie, et al.
Published: (2026)
by: Li, Haojie, et al.
Published: (2026)
Information-theoretic Limits of Learning and Estimation
by: Gamal, Abbas El, et al.
Published: (2026)
by: Gamal, Abbas El, et al.
Published: (2026)
C3R: Channel Conditioned Cell Representations for unified evaluation in microscopy imaging
by: Marikkar, Umar, et al.
Published: (2025)
by: Marikkar, Umar, et al.
Published: (2025)
Robust Semi-supervised Learning via $f$-Divergence and $α$-Rényi Divergence
by: Aminian, Gholamali, et al.
Published: (2024)
by: Aminian, Gholamali, et al.
Published: (2024)
Investigating Self-Supervised Methods for Label-Efficient Learning
by: Nandam, Srinivasa Rao, et al.
Published: (2024)
by: Nandam, Srinivasa Rao, et al.
Published: (2024)
ASiT: Local-Global Audio Spectrogram vIsion Transformer for Event Classification
by: Atito, Sara, et al.
Published: (2022)
by: Atito, Sara, et al.
Published: (2022)
Pseudo Labelling for Enhanced Masked Autoencoders
by: Nandam, Srinivasa Rao, et al.
Published: (2024)
by: Nandam, Srinivasa Rao, et al.
Published: (2024)
PortraitTalk: Towards Customizable One-Shot Audio-to-Talking Face Generation
by: Nazarieh, Fatemeh, et al.
Published: (2024)
by: Nazarieh, Fatemeh, et al.
Published: (2024)
Semi-supervised Batch Learning From Logged Data
by: Aminian, Gholamali, et al.
Published: (2022)
by: Aminian, Gholamali, et al.
Published: (2022)
LZ Penalty: An information-theoretic repetition penalty for autoregressive language models
by: Ginart, Antonio A., et al.
Published: (2025)
by: Ginart, Antonio A., et al.
Published: (2025)
Asymptotic Analysis of Sample-averaged Q-learning
by: Panda, Saunak Kumar, et al.
Published: (2024)
by: Panda, Saunak Kumar, et al.
Published: (2024)
A representation-learning game for classes of prediction tasks
by: Uzan, Neria, et al.
Published: (2024)
by: Uzan, Neria, et al.
Published: (2024)
Generalizing Supervised Contrastive learning: A Projection Perspective
by: Jeong, Minoh, et al.
Published: (2025)
by: Jeong, Minoh, et al.
Published: (2025)
Category learning in deep neural networks: Information content and geometry of internal representations
by: Bonnasse-Gahot, Laurent, et al.
Published: (2025)
by: Bonnasse-Gahot, Laurent, et al.
Published: (2025)
Directed Information $γ$-covering: An Information-Theoretic Framework for Context Engineering
by: Huang, Hai
Published: (2025)
by: Huang, Hai
Published: (2025)
A unified framework for learning with nonlinear model classes from arbitrary linear samples
by: Adcock, Ben, et al.
Published: (2023)
by: Adcock, Ben, et al.
Published: (2023)
Information-Theoretic Discrete Diffusion
by: Jeon, Moongyu, et al.
Published: (2025)
by: Jeon, Moongyu, et al.
Published: (2025)
Separable Computation of Information Measures
by: Xu, Xiangxiang, et al.
Published: (2025)
by: Xu, Xiangxiang, et al.
Published: (2025)
Mutual Information Multinomial Estimation
by: Chen, Yanzhi, et al.
Published: (2024)
by: Chen, Yanzhi, et al.
Published: (2024)
Information-theoretic reduction of deep neural networks to linear models in the overparametrized proportional regime
by: Camilli, Francesco, et al.
Published: (2025)
by: Camilli, Francesco, et al.
Published: (2025)
Information Theoretic Perspective on Representation Learning
by: Pereg, Deborah, et al.
Published: (2026)
by: Pereg, Deborah, et al.
Published: (2026)
Information-Theoretic Proofs for Diffusion Sampling
by: Reeves, Galen, et al.
Published: (2025)
by: Reeves, Galen, et al.
Published: (2025)
An Information Theoretic Perspective on Conformal Prediction
by: Correia, Alvaro H. C., et al.
Published: (2024)
by: Correia, Alvaro H. C., et al.
Published: (2024)
An Information-Theoretic Analysis of Temporal GNNs
by: Farzaneh, Amirmohammad
Published: (2024)
by: Farzaneh, Amirmohammad
Published: (2024)
An Information-Theoretic Analysis of In-Context Learning
by: Jeon, Hong Jun, et al.
Published: (2024)
by: Jeon, Hong Jun, et al.
Published: (2024)
Measures of Information Reflect Memorization Patterns
by: Bansal, Rachit, et al.
Published: (2022)
by: Bansal, Rachit, et al.
Published: (2022)
Structure Learning via Mutual Information
by: Nixon, Jeremy
Published: (2024)
by: Nixon, Jeremy
Published: (2024)
Similar Items
-
DailyMAE: Towards Pretraining Masked Autoencoders in One Day
by: Wu, Jiantao, et al.
Published: (2024) -
Fast Rate Information-theoretic Bounds on Generalization Errors
by: Wu, Xuetong, et al.
Published: (2023) -
Information-theoretic signatures of causality in Bayesian networks and hypergraphs
by: Chiang, Sung En, et al.
Published: (2025) -
Towards understanding neural collapse in supervised contrastive learning with the information bottleneck method
by: Wang, Siwei, et al.
Published: (2023) -
Information-theoretic generalization bounds for learning from quantum data
by: Caro, Matthias, et al.
Published: (2023)