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A Theoretical Analysis of Contrastive Unsupervised Representation
  Learning

A Theoretical Analysis of Contrastive Unsupervised Representation Learning

25 February 2019
Sanjeev Arora
H. Khandeparkar
M. Khodak
Orestis Plevrakis
Nikunj Saunshi
    SSL
ArXivPDFHTML

Papers citing "A Theoretical Analysis of Contrastive Unsupervised Representation Learning"

50 / 504 papers shown
Title
AdaDim: Dimensionality Adaptation for SSL Representational Dynamics
AdaDim: Dimensionality Adaptation for SSL Representational Dynamics
Kiran Kokilepersaud
Mohit Prabhushankar
Ghassan AlRegib
4
0
0
18 May 2025
Breaking the Batch Barrier (B3) of Contrastive Learning via Smart Batch Mining
Breaking the Batch Barrier (B3) of Contrastive Learning via Smart Batch Mining
Raghuveer Thirukovalluru
Rui Meng
Yong-Jin Liu
Karthikeyan K
Mingyi Su
Ping Nie
Semih Yavuz
Yingbo Zhou
Wenhu Chen
Bhuwan Dhingra
17
0
0
16 May 2025
Generalization Analysis for Contrastive Representation Learning under Non-IID Settings
Generalization Analysis for Contrastive Representation Learning under Non-IID Settings
Nong Minh Hieu
Antoine Ledent
49
0
0
08 May 2025
Representation Learning via Non-Contrastive Mutual Information
Representation Learning via Non-Contrastive Mutual Information
Z. Guo
Bernardo Avila-Pires
Khimya Khetarpal
Dale Schuurmans
Bo Dai
SSL
61
0
0
23 Apr 2025
Node Embeddings via Neighbor Embeddings
Node Embeddings via Neighbor Embeddings
Jan Niklas Böhm
Marius Keute
Alica Guzmán
Sebastian Damrich
Andrew Draganov
D. Kobak
GNN
62
0
0
31 Mar 2025
A Theoretical Framework for Preventing Class Collapse in Supervised Contrastive Learning
Chungpa Lee
Jeongheon Oh
Kibok Lee
Jy-yong Sohn
SSL
94
1
0
11 Mar 2025
Cross-Lingual IPA Contrastive Learning for Zero-Shot NER
Jimin Sohn
David R. Mortensen
49
0
0
10 Mar 2025
Learning from Noisy Labels with Contrastive Co-Transformer
Yan Han
S. Roy
Mehrtash Harandi
L. Petersson
NoLa
74
0
0
04 Mar 2025
Projection Head is Secretly an Information Bottleneck
Zhuo Ouyang
Kaiwen Hu
Qi Zhang
Yifei Wang
Yisen Wang
51
1
0
01 Mar 2025
Contrastive Learning with Nasty Noise
Contrastive Learning with Nasty Noise
Ziruo Zhao
SSL
50
0
0
25 Feb 2025
DUNIA: Pixel-Sized Embeddings via Cross-Modal Alignment for Earth Observation Applications
DUNIA: Pixel-Sized Embeddings via Cross-Modal Alignment for Earth Observation Applications
Ibrahim Fayad
Max Zimmer
Martin Schwartz
P. Ciais
Fabian Gieseke
Gabriel Belouze
Sarah Brood
A. D. Truchis
Alexandre d’Aspremont
AI4TS
43
0
0
24 Feb 2025
Provable Benefits of Unsupervised Pre-training and Transfer Learning via Single-Index Models
Taj Jones-McCormick
Aukosh Jagannath
S. Sen
58
0
0
24 Feb 2025
Towards Efficient Contrastive PAC Learning
Jie Shen
36
0
0
21 Feb 2025
Structure-preserving contrastive learning for spatial time series
Structure-preserving contrastive learning for spatial time series
Yiru Jiao
S. Cranenburgh
Simeon C. Calvert
H. Lint
AI4TS
92
0
0
10 Feb 2025
A Probabilistic Model for Self-Supervised Learning
A Probabilistic Model for Self-Supervised Learning
Maximilian Fleissner
P. Esser
D. Ghoshdastidar
SSL
BDL
98
1
0
22 Jan 2025
An Inclusive Theoretical Framework of Robust Supervised Contrastive Loss against Label Noise
Jingyi Cui
Yi-Ge Zhang
Hengyu Liu
Yisen Wang
NoLa
50
0
0
03 Jan 2025
Understanding Difficult-to-learn Examples in Contrastive Learning: A Theoretical Framework for Spectral Contrastive Learning
Yi-Ge Zhang
Jingyi Cui
Qiran Li
Yisen Wang
SSL
51
0
0
03 Jan 2025
A Contrastive Pretrain Model with Prompt Tuning for Multi-center Medication Recommendation
A Contrastive Pretrain Model with Prompt Tuning for Multi-center Medication Recommendation
Qiang Liu
Zhaopeng Qiu
Xiangyu Zhao
X. Wu
Zijian Zhang
Tong Xu
Feng Tian
41
0
0
31 Dec 2024
Personalized Clustering via Targeted Representation Learning
Personalized Clustering via Targeted Representation Learning
Xiwen Geng
Suyun Zhao
Yixin Yu
Borui Peng
Pan Du
Hong Chen
C. Li
Mengdie Wang
90
0
0
18 Dec 2024
Dual Traits in Probabilistic Reasoning of Large Language Models
Dual Traits in Probabilistic Reasoning of Large Language Models
Shenxiong Li
Huaxia Rui
80
0
0
15 Dec 2024
Rethinking Generalizability and Discriminability of Self-Supervised
  Learning from Evolutionary Game Theory Perspective
Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective
Jiangmeng Li
Zehua Zang
Qirui Ji
Chuxiong Sun
Wenwen Qiang
Junge Zhang
Changwen Zheng
Gang Hua
Hui Xiong
SSL
74
0
0
30 Nov 2024
Scalable Deep Metric Learning on Attributed Graphs
Scalable Deep Metric Learning on Attributed Graphs
Xiang Li
G. Agrawal
R. Jin
R. Ramnath
72
0
0
20 Nov 2024
Infinite Width Limits of Self Supervised Neural Networks
Maximilian Fleissner
Gautham Govind Anil
D. Ghoshdastidar
SSL
202
0
0
17 Nov 2024
Understanding the Role of Equivariance in Self-supervised Learning
Understanding the Role of Equivariance in Self-supervised Learning
Yifei Wang
Kaiwen Hu
Sharut Gupta
Ziyu Ye
Yisen Wang
Stefanie Jegelka
SSL
50
2
0
10 Nov 2024
Understanding Self-Supervised Learning via Gaussian Mixture Models
Understanding Self-Supervised Learning via Gaussian Mixture Models
Parikshit Bansal
Ali Kavis
Sujay Sanghavi
SSL
40
0
0
05 Nov 2024
Negative-Free Self-Supervised Gaussian Embedding of Graphs
Negative-Free Self-Supervised Gaussian Embedding of Graphs
Yunhui Liu
Tieke He
Tao Zheng
Jianhua Zhao
SSL
55
1
0
02 Nov 2024
Beyond Interpretability: The Gains of Feature Monosemanticity on Model
  Robustness
Beyond Interpretability: The Gains of Feature Monosemanticity on Model Robustness
Qi Zhang
Yifei Wang
Jingyi Cui
Xiang Pan
Qi Lei
Stefanie Jegelka
Yisen Wang
AAML
36
1
0
27 Oct 2024
StatioCL: Contrastive Learning for Time Series via Non-Stationary and
  Temporal Contrast
StatioCL: Contrastive Learning for Time Series via Non-Stationary and Temporal Contrast
Yu Wu
Ting Dang
Dimitris Spathis
Hong Jia
Cecilia Mascolo
AI4TS
38
1
0
14 Oct 2024
Enhancing Hyperspectral Image Prediction with Contrastive Learning in
  Low-Label Regime
Enhancing Hyperspectral Image Prediction with Contrastive Learning in Low-Label Regime
S. Haidar
José Oramas
SSL
36
0
0
10 Oct 2024
Improving Node Representation by Boosting Target-Aware Contrastive Loss
Improving Node Representation by Boosting Target-Aware Contrastive Loss
Ying-Chun Lin
Jennifer Neville
SSL
26
0
0
04 Oct 2024
Automated Knowledge Concept Annotation and Question Representation Learning for Knowledge Tracing
Automated Knowledge Concept Annotation and Question Representation Learning for Knowledge Tracing
Yilmazcan Ozyurt
Stefan Feuerriegel
Mrinmaya Sachan
AI4Ed
52
1
0
02 Oct 2024
Investigating the Impact of Model Complexity in Large Language Models
Investigating the Impact of Model Complexity in Large Language Models
Jing Luo
Huiyuan Wang
Weiran Huang
39
0
0
01 Oct 2024
Bridging OOD Detection and Generalization: A Graph-Theoretic View
Bridging OOD Detection and Generalization: A Graph-Theoretic View
Han Wang
Yixuan Li
CML
39
0
0
26 Sep 2024
Enabling Tensor Decomposition for Time-Series Classification via A
  Simple Pseudo-Laplacian Contrast
Enabling Tensor Decomposition for Time-Series Classification via A Simple Pseudo-Laplacian Contrast
Man Li
Ziyue Li
Lijun Sun
Fugee Tsung
AI4TS
26
1
0
23 Sep 2024
Enhancing Sound Source Localization via False Negative Elimination
Enhancing Sound Source Localization via False Negative Elimination
Zengjie Song
Jiangshe Zhang
Yuxi Wang
Junsong Fan
Zhaoxiang Zhang
43
0
0
29 Aug 2024
LARR: Large Language Model Aided Real-time Scene Recommendation with
  Semantic Understanding
LARR: Large Language Model Aided Real-time Scene Recommendation with Semantic Understanding
Zhizhong Wan
Bin Yin
Junjie Xie
Fei Jiang
Xiang Li
Wei Lin
3DV
51
5
0
21 Aug 2024
Universal Novelty Detection Through Adaptive Contrastive Learning
Universal Novelty Detection Through Adaptive Contrastive Learning
Hossein Mirzaei
Mojtaba Nafez
Mohammad Jafari
Mohammad Bagher Soltani
Mohammad Azizmalayeri
Jafar Habibi
Mohammad Sabokrou
M. Rohban
32
4
0
20 Aug 2024
Bootstrap Latents of Nodes and Neighbors for Graph Self-Supervised
  Learning
Bootstrap Latents of Nodes and Neighbors for Graph Self-Supervised Learning
Yunhui Liu
Huaisong Zhang
Tieke He
Tao Zheng
Jianhua Zhao
SSL
32
5
0
09 Aug 2024
Relational Representation Distillation
Relational Representation Distillation
Nikolaos Giakoumoglou
Tania Stathaki
40
0
0
16 Jul 2024
Cross-Lingual Word Alignment for ASEAN Languages with Contrastive
  Learning
Cross-Lingual Word Alignment for ASEAN Languages with Contrastive Learning
Jingshen Zhang
Xinying Qiu
Teng Shen
Wenyu Wang
Kailin Zhang
Wenhe Feng
43
0
0
06 Jul 2024
TRACE: TRansformer-based Attribution using Contrastive Embeddings in
  LLMs
TRACE: TRansformer-based Attribution using Contrastive Embeddings in LLMs
Cheng Wang
Xinyang Lu
Szu Hui Ng
Bryan Kian Hsiang Low
48
0
0
06 Jul 2024
Look Ahead or Look Around? A Theoretical Comparison Between
  Autoregressive and Masked Pretraining
Look Ahead or Look Around? A Theoretical Comparison Between Autoregressive and Masked Pretraining
Qi Zhang
Tianqi Du
Haotian Huang
Yifei Wang
Yisen Wang
42
3
0
01 Jul 2024
InfoNCE: Identifying the Gap Between Theory and Practice
InfoNCE: Identifying the Gap Between Theory and Practice
E. Rusak
Patrik Reizinger
Attila Juhos
Oliver Bringmann
Roland S. Zimmermann
Wieland Brendel
35
6
0
28 Jun 2024
Learning Temporal Distances: Contrastive Successor Features Can Provide a Metric Structure for Decision-Making
Learning Temporal Distances: Contrastive Successor Features Can Provide a Metric Structure for Decision-Making
Vivek Myers
Chongyi Zheng
Anca Dragan
Sergey Levine
Benjamin Eysenbach
OffRL
45
8
0
24 Jun 2024
A Unified Framework for Combinatorial Optimization Based on Graph Neural
  Networks
A Unified Framework for Combinatorial Optimization Based on Graph Neural Networks
Yaochu Jin
Xueming Yan
Shiqing Liu
Xiangyu Wang
51
3
0
19 Jun 2024
Training Dynamics of Nonlinear Contrastive Learning Model in the High
  Dimensional Limit
Training Dynamics of Nonlinear Contrastive Learning Model in the High Dimensional Limit
Lineghuan Meng
Chuang Wang
28
1
0
11 Jun 2024
Contrastive Learning from Synthetic Audio Doppelgängers
Contrastive Learning from Synthetic Audio Doppelgängers
Manuel Cherep
Nikhil Singh
40
1
0
09 Jun 2024
Skill-aware Mutual Information Optimisation for Generalisation in
  Reinforcement Learning
Skill-aware Mutual Information Optimisation for Generalisation in Reinforcement Learning
Xuehui Yu
Mhairi Dunion
Xin Li
Stefano V. Albrecht
41
2
0
07 Jun 2024
Alignment Calibration: Machine Unlearning for Contrastive Learning under
  Auditing
Alignment Calibration: Machine Unlearning for Contrastive Learning under Auditing
Yihan Wang
Yiwei Lu
Guojun Zhang
Franziska Boenisch
Adam Dziedzic
Yaoliang Yu
Xiao-Shan Gao
MU
29
1
0
05 Jun 2024
Causal Contrastive Learning for Counterfactual Regression Over Time
Causal Contrastive Learning for Counterfactual Regression Over Time
Mouad El Bouchattaoui
Myriam Tami
Benoit Lepetit
P. Cournède
CML
AI4TS
38
2
0
01 Jun 2024
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