Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2002.05709
Cited By
v1
v2
v3 (latest)
A Simple Framework for Contrastive Learning of Visual Representations
International Conference on Machine Learning (ICML), 2020
13 February 2020
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
Re-assign community
ArXiv (abs)
PDF
HTML
HuggingFace (1 upvotes)
Papers citing
"A Simple Framework for Contrastive Learning of Visual Representations"
50 / 10,249 papers shown
Latent Representation Matters: Human-like Sketches in One-shot Drawing Tasks
Neural Information Processing Systems (NeurIPS), 2024
Victor Boutin
Rishav Mukherji
Aditya Agrawal
Sabine Muzellec
Thomas Fel
Thomas Serre
Rufin VanRullen
DiffM
383
2
0
10 Jun 2024
Investigating Pre-Training Objectives for Generalization in Vision-Based Reinforcement Learning
International Conference on Machine Learning (ICML), 2024
Donghu Kim
Hojoon Lee
Kyungmin Lee
Dongyoon Hwang
Jaegul Choo
OffRL
261
3
0
10 Jun 2024
Large Language Models Memorize Sensor Datasets! Implications on Human Activity Recognition Research
H. Haresamudram
Hrudhai Rajasekhar
Nikhil Murlidhar Shanbhogue
Thomas Ploetz
259
4
0
09 Jun 2024
Self-supervised Adversarial Training of Monocular Depth Estimation against Physical-World Attacks
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
Zhiyuan Cheng
Cheng Han
James Liang
Qifan Wang
Xiangyu Zhang
Dongfang Liu
AAML
216
10
0
09 Jun 2024
ProFeAT: Projected Feature Adversarial Training for Self-Supervised Learning of Robust Representations
Sravanti Addepalli
Priyam Dey
R. Venkatesh Babu
262
2
0
09 Jun 2024
Provable Optimization for Adversarial Fair Self-supervised Contrastive Learning
Qi Qi
Quanqi Hu
Qihang Lin
Tianbao Yang
317
3
0
09 Jun 2024
From Basic to Extra Features: Hypergraph Transformer Pretrain-then-Finetuning for Balanced Clinical Predictions on EHR
ACM Conference on Health, Inference, and Learning (CHIL), 2024
Ran Xu
Yiwen Lu
Chang Liu
Yong Chen
Yan Sun
Xiao Hu
Joyce C. Ho
Carl Yang
189
1
0
09 Jun 2024
Anomaly Multi-classification in Industrial Scenarios: Transferring Few-shot Learning to a New Task
Jie Liu
Yao Wu
Xiaotong Luo
Zongze Wu
279
1
0
09 Jun 2024
MS-HuBERT: Mitigating Pre-training and Inference Mismatch in Masked Language Modelling methods for learning Speech Representations
Interspeech (Interspeech), 2024
Hemant Yadav
Sunayana Sitaram
R. Shah
SSL
308
3
0
09 Jun 2024
Regularized Training with Generated Datasets for Name-Only Transfer of Vision-Language Models
Minho Park
S. Park
Jooyeol Yun
Jaegul Choo
VLM
241
0
0
08 Jun 2024
ChatSR: Multimodal Large Language Models for Scientific Formula Discovery
Yanjie Li
Weijun Li
Lina Yu
Min Wu
Jingyi Liu
Wenqiang Li
Shu Wei
Yusong Deng
OffRL
345
3
0
08 Jun 2024
Unlocking Telemetry Potential: Self-Supervised Learning for Continuous Clinical Electrocardiogram Monitoring
Thomas Kite
Uzair Tahamid Siam
Brian Ayers
Nicholas Houstis
Aaron D Aguirre
251
3
0
07 Jun 2024
Learning Divergence Fields for Shift-Robust Graph Representations
International Conference on Machine Learning (ICML), 2024
Qitian Wu
Fan Nie
Chenxiao Yang
Junchi Yan
OOD
280
2
0
07 Jun 2024
Confidence-aware Contrastive Learning for Selective Classification
International Conference on Machine Learning (ICML), 2024
Yu-Chang Wu
Shen-Huan Lyu
Haopu Shang
Xiangyu Wang
Chao Qian
161
5
0
07 Jun 2024
Denoising-Aware Contrastive Learning for Noisy Time Series
International Joint Conference on Artificial Intelligence (IJCAI), 2024
Shuang Zhou
Daochen Zha
Xiao Shen
Xiao Shi Huang
Rui Zhang
Fu-Lai Chung
AI4TS
223
8
0
07 Jun 2024
Diverse Intra- and Inter-Domain Activity Style Fusion for Cross-Person Generalization in Activity Recognition
Knowledge Discovery and Data Mining (KDD), 2024
Junru Zhang
Lang Feng
Zhidan Liu
Yuhan Wu
Yang He
Yabo Dong
Duanqing Xu
285
9
0
07 Jun 2024
Time-Series JEPA for Predictive Remote Control under Capacity-Limited Networks
Abanoub M. Girgis
Álvaro Valcarce
Mehdi Bennis
AI4TS
235
6
0
07 Jun 2024
Nomic Embed Vision: Expanding the Latent Space
Zach Nussbaum
Brandon Duderstadt
Andriy Mulyar
VLM
154
12
0
06 Jun 2024
Mitigating Bias in Dataset Distillation
Justin Cui
Ruochen Wang
Yuanhao Xiong
Cho-Jui Hsieh
DD
265
3
0
06 Jun 2024
Matching Anything by Segmenting Anything
Computer Vision and Pattern Recognition (CVPR), 2024
Siyuan Li
Lei Ke
Martin Danelljan
Luigi Piccinelli
Mattia Segu
Luc Van Gool
Fisher Yu
VOS
273
49
0
06 Jun 2024
GNNAnatomy: Rethinking Model-Level Explanations for Graph Neural Networks
Hsiao-Ying Lu
Yiran Li
Ujwal Pratap Krishna Kaluvakolanu Thyagarajan
K. Ma
317
1
0
06 Jun 2024
The Brain's Bitter Lesson: Scaling Speech Decoding With Self-Supervised Learning
Dulhan Jayalath
Gilad Landau
Brendan Shillingford
M. Woolrich
Oiwi Parker Jones
SSL
470
15
0
06 Jun 2024
Mind's Eye: Image Recognition by EEG via Multimodal Similarity-Keeping Contrastive Learning
Chi-Sheng Chen
Chun-Shu Wei
195
14
0
05 Jun 2024
Towards Real-world Scenario: Imbalanced New Intent Discovery
Shun Zhang
Chaoran Yan
Zhiqiang Wang
Jing Liu
Ying Mo
Jiaqi Bai
Tongliang Li
Zheng Li
222
3
0
05 Jun 2024
Radiomics-guided Multimodal Self-attention Network for Predicting Pathological Complete Response in Breast MRI
Jonghun Kim
Hyunjin Park
MedIm
53
5
0
05 Jun 2024
Representation Learning For Efficient Deep Multi-Agent Reinforcement Learning
Dom Huh
Prasant Mohapatra
243
3
0
05 Jun 2024
Mutual Information Guided Backdoor Mitigation for Pre-trained Encoders
Tingxu Han
Weisong Sun
Ziqi Ding
Chunrong Fang
Hanwei Qian
Jiaxun Li
Zhenyu Chen
Xiangyu Zhang
AAML
470
12
0
05 Jun 2024
MUC: Machine Unlearning for Contrastive Learning with Black-box Evaluation
Yihan Wang
Yiwei Lu
Guojun Zhang
Franziska Boenisch
Adam Dziedzic
Yaoliang Yu
Xiao-Shan Gao
MU
404
1
0
05 Jun 2024
MMCL: Correcting Content Query Distributions for Improved Anti-Overlapping X-Ray Object Detection
Mingyuan Li
Tong Jia
Hui Lu
Hao Wang
Hao Wang
Shiyi Guo
Shuyang Lin
Dongyue Chen
H. Wang
Baosheng Yu
302
6
0
05 Jun 2024
Multi-layer Learnable Attention Mask for Multimodal Tasks
Wayner Barrios
SouYoung Jin
183
2
0
04 Jun 2024
Operational Latent Spaces
Scott H. Hawley
Austin R. Tackett
141
1
0
04 Jun 2024
Enhancing 2D Representation Learning with a 3D Prior
Mehmet Aygun
Prithviraj Dhar
Zhicheng Yan
Oisin Mac Aodha
Rakesh Ranjan
SSL
218
1
0
04 Jun 2024
Block Transformer: Global-to-Local Language Modeling for Fast Inference
Namgyu Ho
Sangmin Bae
Taehyeon Kim
Hyunjik Jo
Yireun Kim
Tal Schuster
Adam Fisch
James Thorne
Se-Young Yun
312
28
0
04 Jun 2024
An Empirical Study into Clustering of Unseen Datasets with Self-Supervised Encoders
Scott C. Lowe
Joakim Bruslund Haurum
Sageev Oore
T. Moeslund
Graham W. Taylor
SSL
238
5
0
04 Jun 2024
Using Self-supervised Learning Can Improve Model Fairness
Sofia Yfantidou
Dimitris Spathis
Marios Constantinides
Athena Vakali
Daniele Quercia
F. Kawsar
336
9
0
04 Jun 2024
Exploring Effects of Hyperdimensional Vectors for Tsetlin Machines
Vojtech Halenka
Ahmed K. Kadhim
Paul F. A. Clarke
Bimal Bhattarai
Rupsa Saha
Ole-Christoffer Granmo
Lei Jiao
Per-Arne Andersen
309
5
0
04 Jun 2024
A Survey of Transformer Enabled Time Series Synthesis
Alexander Sommers
Logan Cummins
Sudip Mittal
Shahram Rahimi
Maria Seale
Joseph Jaboure
Thomas Arnold
AI4TS
249
9
0
04 Jun 2024
Towards Supervised Performance on Speaker Verification with Self-Supervised Learning by Leveraging Large-Scale ASR Models
Victor Miara
Theo Lepage
Reda Dehak
235
7
0
04 Jun 2024
SMCL: Saliency Masked Contrastive Learning for Long-tailed Recognition
Sanglee Park
Seung-won Hwang
Jungmin So
239
0
0
04 Jun 2024
Negative Prototypes Guided Contrastive Learning for WSOD
Yu Zhang
Chuang Zhu
Guoqing Yang
Siqi Chen
305
0
0
04 Jun 2024
Multi-Agent Transfer Learning via Temporal Contrastive Learning
Weihao Zeng
Joseph Campbell
Simon Stepputtis
Katia Sycara
OffRL
249
2
0
03 Jun 2024
Continuous Geometry-Aware Graph Diffusion via Hyperbolic Neural PDE
Jiaxu Liu
Xinping Yi
Sihao Wu
Xiangyu Yin
Tianle Zhang
Xiaowei Huang
Shi Jin
382
1
0
03 Jun 2024
Scaling Up Deep Clustering Methods Beyond ImageNet-1K
Tim Kaiser
Félix D. P. Michels
Kaspar Senft
Diana Petrusheva
M. Kollmann
269
2
0
03 Jun 2024
Frequency Enhanced Pre-training for Cross-city Few-shot Traffic Forecasting
Zhanyu Liu
Jianrong Ding
Guanjie Zheng
AI4TS
162
7
0
03 Jun 2024
DDA: Dimensionality Driven Augmentation Search for Contrastive Learning in Laparoscopic Surgery
Yuning Zhou
H. Badgery
Matthew Read
James Bailey
Catherine E. Davey
204
2
0
03 Jun 2024
Diverse Subset Selection via Norm-Based Sampling and Orthogonality
Noga Bar
Raja Giryes
CVBM
384
1
0
03 Jun 2024
Task-oriented Embedding Counts: Heuristic Clustering-driven Feature Fine-tuning for Whole Slide Image Classification
Xuenian Wang
Shanshan Shi
Renao Yan
Qiehe Sun
Lianghui Zhu
Tian Guan
Yonghong He
271
3
0
02 Jun 2024
Unsupervised contrastive analysis for anomaly detection in brain MRIs via conditional diffusion models
Cristiano Patrício
C. Barbano
Attilio Fiandrotti
Riccardo Renzulli
Marco Grangetto
Luís F. Teixeira
João C. Neves
DiffM
MedIm
266
0
0
02 Jun 2024
An Unsupervised Approach for Periodic Source Detection in Time Series
B. U. Demirel
Christian Holz
AI4TS
243
3
0
01 Jun 2024
Effective Data Selection for Seismic Interpretation through Disagreement
Ryan Benkert
Mohit Prabhushankar
Ghassan AlRegib
239
2
0
01 Jun 2024
Previous
1
2
3
...
50
51
52
...
203
204
205
Next
