Image de couverture de livre

Contrastive Learning Is Spectral Clustering On Similarity Graph

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Tan, Zhiquan, Zhang, Yifan, Yang, Jingqin, Yuan, Yang
Format:	Preprint
Publié:	2023
Sujets:	Machine Learning Artificial Intelligence Computer Vision and Pattern Recognition
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Matrix Information Theory for Self-Supervised Learning
par: Zhang, Yifan, et autres
Publié: (2023)

RelationMatch: Matching In-batch Relationships for Semi-supervised Learning
par: Zhang, Yifan, et autres
Publié: (2023)

Provable Contrastive Continual Learning
par: Wen, Yichen, et autres
Publié: (2024)

ATLAS: Adapter-Based Multi-Modal Continual Learning with a Two-Stage Learning Strategy
par: Li, Hong, et autres
Publié: (2024)

Information Flow in Self-Supervised Learning
par: Tan, Zhiquan, et autres
Publié: (2023)

Dissecting Representation Misalignment in Contrastive Learning via Influence Function
par: Hu, Lijie, et autres
Publié: (2024)

SMART: Semantic Matching Contrastive Learning for Partially View-Aligned Clustering
par: Peng, Liang, et autres
Publié: (2025)

Contrastive-to-Self-Supervised: A Two-Stage Framework for Script Similarity Learning
par: Roman, Claire, et autres
Publié: (2026)

FACL-Attack: Frequency-Aware Contrastive Learning for Transferable Adversarial Attacks
par: Yang, Hunmin, et autres
Publié: (2024)

Non-negative Contrastive Learning
par: Wang, Yifei, et autres
Publié: (2024)

Contrastive Continual Multi-view Clustering with Filtered Structural Fusion
par: Wan, Xinhang, et autres
Publié: (2023)

GLC++: Source-Free Universal Domain Adaptation through Global-Local Clustering and Contrastive Affinity Learning
par: Qu, Sanqing, et autres
Publié: (2024)

Transferability-Guided Cross-Domain Cross-Task Transfer Learning
par: Tan, Yang, et autres
Publié: (2022)

Intra-Cluster Mixup: An Effective Data Augmentation Technique for Complementary-Label Learning
par: Mai, Tan-Ha, et autres
Publié: (2025)

CLASP: Adaptive Spectral Clustering for Unsupervised Per-Image Segmentation
par: Curie, Max, et autres
Publié: (2025)

Rethinking Multi-domain Generalization with A General Learning Objective
par: Tan, Zhaorui, et autres
Publié: (2024)

Semi-Supervised Image Captioning Considering Wasserstein Graph Matching
par: Yang, Yang
Publié: (2024)

Prompt-Driven Contrastive Learning for Transferable Adversarial Attacks
par: Yang, Hunmin, et autres
Publié: (2024)

Do Generated Data Always Help Contrastive Learning?
par: Wang, Yifei, et autres
Publié: (2024)

Learning Generalizable Prompt for CLIP with Class Similarity Knowledge
par: Jung, Sehun, et autres
Publié: (2025)

HiT-JEPA: A Hierarchical Self-supervised Trajectory Embedding Framework for Similarity Computation
par: Li, Lihuan, et autres
Publié: (2025)

Adaptive Multi-head Contrastive Learning
par: Wang, Lei, et autres
Publié: (2023)

Relational Visual Similarity
par: Nguyen, Thao, et autres
Publié: (2025)

Point Cloud Understanding via Attention-Driven Contrastive Learning
par: Wang, Yi, et autres
Publié: (2024)

A Medical Data-Effective Learning Benchmark for Highly Efficient Pre-training of Foundation Models
par: Yang, Wenxuan, et autres
Publié: (2024)

SimO Loss: Anchor-Free Contrastive Loss for Fine-Grained Supervised Contrastive Learning
par: Bouhsine, Taha, et autres
Publié: (2024)

Graph Alignment via Dual-Pass Spectral Encoding and Latent Space Communication
par: Behmanesh, Maysam, et autres
Publié: (2025)

Probabilistic Contrastive Learning with Explicit Concentration on the Hypersphere
par: Li, Hongwei Bran, et autres
Publié: (2024)

On the Effectiveness of Supervision in Asymmetric Non-Contrastive Learning
par: Oh, Jeongheon, et autres
Publié: (2024)

Practical Transferability Estimation for Image Classification Tasks
par: Tan, Yang, et autres
Publié: (2021)

Logit Calibration and Feature Contrast for Robust Federated Learning on Non-IID Data
par: Qiao, Yu, et autres
Publié: (2024)

SpectralGCD: Spectral Concept Selection and Cross-modal Representation Learning for Generalized Category Discovery
par: Caselli, Lorenzo, et autres
Publié: (2026)

MMGDreamer: Mixed-Modality Graph for Geometry-Controllable 3D Indoor Scene Generation
par: Yang, Zhifei, et autres
Publié: (2025)

Semantic Compositions Enhance Vision-Language Contrastive Learning
par: Aladago, Maxwell, et autres
Publié: (2024)

Implicit Contrastive Representation Learning with Guided Stop-gradient
par: Lee, Byeongchan, et autres
Publié: (2025)

Explaining and Mitigating the Modality Gap in Contrastive Multimodal Learning
par: Yaras, Can, et autres
Publié: (2024)

Multi-Label Contrastive Learning for Abstract Visual Reasoning
par: Małkiński, Mikołaj, et autres
Publié: (2020)

Memory-efficient Continual Learning with Neural Collapse Contrastive
par: Dang, Trung-Anh, et autres
Publié: (2024)

Knowledge Graph Enhanced Generative Multi-modal Models for Class-Incremental Learning
par: Cao, Xusheng, et autres
Publié: (2025)

CLCE: An Approach to Refining Cross-Entropy and Contrastive Learning for Optimized Learning Fusion
par: Long, Zijun, et autres
Publié: (2024)