Cover Image

Representation Learning via Non-Contrastive Mutual Information

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Guo, Zhaohan Daniel, Pires, Bernardo Avila, Khetarpal, Khimya, Schuurmans, Dale, Dai, Bo
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Computer Vision and Pattern Recognition I.2.6; I.2.10
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

AGOP as Explanation: From Feature Learning to Per-Sample Attribution in Image Classifiers
by: Katakam, Raj Kiran Gupta
Published: (2026)

Dream to Fly: Model-Based Reinforcement Learning for Vision-Based Drone Flight
by: Romero, Angel, et al.
Published: (2025)

EduFlow: Advancing MLLMs' Problem-Solving Proficiency through Multi-Stage, Multi-Perspective Critique
by: Zhu, Chenglin, et al.
Published: (2025)

Lifelong Learning in Vision-Language Models: Enhanced EWC with Cross-Modal Knowledge Retention
by: Durrani, Hamza Ahmed, et al.
Published: (2026)

WayFASTER: a Self-Supervised Traversability Prediction for Increased Navigation Awareness
by: Gasparino, Mateus Valverde, et al.
Published: (2024)

Learning the meanings of function words from grounded language using a visual question answering model
by: Portelance, Eva, et al.
Published: (2023)

CLARE: Continual Learning for Vision-Language-Action Models via Autonomous Adapter Routing and Expansion
by: Römer, Ralf, et al.
Published: (2026)

SUN Team's Contribution to ABAW 2024 Competition: Audio-visual Valence-Arousal Estimation and Expression Recognition
by: Dresvyanskiy, Denis, et al.
Published: (2024)

Closed-Loop Neural Activation Control in Vision-Language-Action Models
by: Babu, Abhijith, et al.
Published: (2026)

Physics-R1: An Audited Olympiad Corpus and Recipe for Visual Physics Reasoning
by: Yang, Shan
Published: (2026)

Sparse Concept Bottleneck Models: Gumbel Tricks in Contrastive Learning
by: Semenov, Andrei, et al.
Published: (2024)

Reducing the Sensitivity of Neural Physics Simulators to Mesh Topology via Pretraining
by: Vaska, Nathan, et al.
Published: (2025)

Mitigating Catastrophic Forgetting in the Incremental Learning of Medical Images
by: Yavari, Sara, et al.
Published: (2025)

Contrastive pretraining for semantic segmentation is robust to noisy positive pairs
by: Gerard, Sebastian, et al.
Published: (2022)

ReLKD: Inter-Class Relation Learning with Knowledge Distillation for Generalized Category Discovery
by: Zhou, Fang, et al.
Published: (2025)

Invariant Representation via Decoupling Style and Spurious Features from Images
by: Li, Ruimeng, et al.
Published: (2023)

QoSGMAA: A Robust Multi-Order Graph Attention and Adversarial Framework for Sparse QoS Prediction
by: Du, Guanchen, et al.
Published: (2025)

Cortex 2.0: Grounding World Models in Real-World Industrial Deployment
by: Aida, Adriana, et al.
Published: (2026)

ExpReS-VLA: Specializing Vision-Language-Action Models Through Experience Replay and Retrieval
by: Syed, Shahram Najam, et al.
Published: (2025)

RoboPack: Learning Tactile-Informed Dynamics Models for Dense Packing
by: Ai, Bo, et al.
Published: (2024)

Autoassociative Learning of Structural Representations for Modeling and Classification in Medical Imaging
by: Buchnajzer, Zuzanna, et al.
Published: (2024)

Efficient Image Pre-Training with Siamese Cropped Masked Autoencoders
by: Eymaël, Alexandre, et al.
Published: (2024)

Data Organization Matters in Multimodal Instruction Tuning: A Controlled Study of Capability Trade-offs
by: Tang, Guowei
Published: (2026)

RDPO: Real Data Preference Optimization for Physics Consistency Video Generation
by: Qian, Wenxu, et al.
Published: (2025)

CrystalDiT: A Diffusion Transformer for Crystal Generation
by: Yi, Xiaohan, et al.
Published: (2025)

Adaptive Self-Training for Object Detection
by: Vandeghen, Renaud, et al.
Published: (2022)

Pointing-Based Object Recognition
by: Hajdúch, Lukáš, et al.
Published: (2026)

Survey Transfer Learning: Recycling Data with Silicon Responses
by: Amini, Ali
Published: (2025)

Adapting Multimodal Foundation Models for Few-Shot Learning: A Comprehensive Study on Contrastive Captioners
by: Narasinghe, N. K. B. M. P. K. B., et al.
Published: (2025)

Engineering an Efficient Object Tracker for Non-Linear Motion
by: Adžemović, Momir, et al.
Published: (2024)

Curb Your Attention: Causal Attention Gating for Robust Trajectory Prediction in Autonomous Driving
by: Ahmadi, Ehsan, et al.
Published: (2024)

From Demonstrations to Safe Deployment: Path-Consistent Safety Filtering for Diffusion Policies
by: Römer, Ralf, et al.
Published: (2025)

Training a Student Expert via Semi-Supervised Foundation Model Distillation
by: Taghavi, Pardis, et al.
Published: (2026)

Reframing linguistic bootstrapping as joint inference using visually-grounded grammar induction models
by: Portelance, Eva, et al.
Published: (2024)

CourseTimeQA: A Lecture-Video Benchmark and a Latency-Constrained Cross-Modal Fusion Method for Timestamped QA
by: Kovalev, Vsevolod, et al.
Published: (2025)

Conditional Compatibility Learning for Context-Dependent Anomaly Detection
by: Mishra, Shashank, et al.
Published: (2026)

Auto-Annotation Quality Prediction for Semi-Supervised Learning with Ensembles
by: Simon, Dror, et al.
Published: (2019)

FedWCM: Unleashing the Potential of Momentum-based Federated Learning in Long-Tailed Scenarios
by: Li, Tianle, et al.
Published: (2025)

Few-Shot Learning of a Graph-Based Neural Network Model Without Backpropagation
by: Lapin, Mykyta, et al.
Published: (2025)

Learning to Seek Evidence: A Verifiable Reasoning Agent with Causal Faithfulness Analysis
by: Huang, Yuhang, et al.
Published: (2025)