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Unsupervised Feature Learning via Non-Parametric Instance-level
  Discrimination

Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination

5 May 2018
Zhirong Wu
Yuanjun Xiong
Stella X. Yu
Dahua Lin
    SSL
ArXiv (abs)PDFHTML

Papers citing "Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination"

50 / 2,003 papers shown
Masked Audio Modeling with CLAP and Multi-Objective Learning
Masked Audio Modeling with CLAP and Multi-Objective LearningInterspeech (Interspeech), 2023
Yifei Xin
Xiulian Peng
Yan Lu
312
12
0
29 Jan 2024
Deep Clustering with Diffused Sampling and Hardness-aware
  Self-distillation
Deep Clustering with Diffused Sampling and Hardness-aware Self-distillation
Hai-Xin Zhang
Dong Huang
402
1
0
25 Jan 2024
Towards Efficient and Effective Deep Clustering with Dynamic Grouping
  and Prototype Aggregation
Towards Efficient and Effective Deep Clustering with Dynamic Grouping and Prototype Aggregation
Hai-Xin Zhang
Dong Huang
164
0
0
24 Jan 2024
Learning Representations for Clustering via Partial Information
  Discrimination and Cross-Level Interaction
Learning Representations for Clustering via Partial Information Discrimination and Cross-Level Interaction
Hai-Xin Zhang
Dong Huang
Hua-Bao Ling
Guang-Yu Zhang
Wei-jun Sun
Zi-hao Wen
230
0
0
24 Jan 2024
Multimodal Visual-Tactile Representation Learning through
  Self-Supervised Contrastive Pre-Training
Multimodal Visual-Tactile Representation Learning through Self-Supervised Contrastive Pre-TrainingIEEE International Conference on Robotics and Automation (ICRA), 2024
Vedant Dave
Fotios Lygerakis
Elmar Rueckert
SSL
250
43
0
22 Jan 2024
Reconstructing the Invisible: Video Frame Restoration through Siamese
  Masked Conditional Variational Autoencoder
Reconstructing the Invisible: Video Frame Restoration through Siamese Masked Conditional Variational Autoencoder
Yongchen Zhou
Richard Jiang
188
0
0
18 Jan 2024
Trapped in texture bias? A large scale comparison of deep instance
  segmentation
Trapped in texture bias? A large scale comparison of deep instance segmentationEuropean Conference on Computer Vision (ECCV), 2024
J. Theodoridis
Jessica Hofmann
J. Maucher
A. Schilling
SSeg
222
6
0
17 Jan 2024
MIMIC: Mask Image Pre-training with Mix Contrastive Fine-tuning for
  Facial Expression Recognition
MIMIC: Mask Image Pre-training with Mix Contrastive Fine-tuning for Facial Expression Recognition
Fan Zhang
Xiaobao Guo
Xiaojiang Peng
Alex C. Kot
144
2
0
14 Jan 2024
Contrastive Learning with Negative Sampling Correction
Contrastive Learning with Negative Sampling Correction
Lu Wang
Chao Du
Lu Wang
Chuan Luo
Zhangchi Zhu
...
Wei Zhang
Qingwei Lin
Saravan Rajmohan
Dongmei Zhang
Qi Zhang
SSL
303
4
0
13 Jan 2024
CCFC: Bridging Federated Clustering and Contrastive Learning
CCFC: Bridging Federated Clustering and Contrastive Learning
Jing Liu
Jing Liu
Zhonghan Zhang
FedML
259
5
0
12 Jan 2024
STAIR: Spatial-Temporal Reasoning with Auditable Intermediate Results
  for Video Question Answering
STAIR: Spatial-Temporal Reasoning with Auditable Intermediate Results for Video Question AnsweringAAAI Conference on Artificial Intelligence (AAAI), 2024
Yueqian Wang
Yuxuan Wang
Kai Chen
Dongyan Zhao
213
2
0
08 Jan 2024
Preserving Silent Features for Domain Generalization
Preserving Silent Features for Domain Generalization
Chujie Zhao
Tianren Zhang
Feng Chen
274
0
0
06 Jan 2024
SynCDR : Training Cross Domain Retrieval Models with Synthetic Data
SynCDR : Training Cross Domain Retrieval Models with Synthetic Data
Samarth Mishra
Carlos D. Castillo
Hongcheng Wang
Kate Saenko
Venkatesh Saligrama
251
2
0
31 Dec 2023
Visual Point Cloud Forecasting enables Scalable Autonomous Driving
Visual Point Cloud Forecasting enables Scalable Autonomous DrivingComputer Vision and Pattern Recognition (CVPR), 2023
Zetong Yang
Li Chen
Yanan Sun
Guoying Gu
3DPC
400
96
0
29 Dec 2023
Learning Vision from Models Rivals Learning Vision from Data
Learning Vision from Models Rivals Learning Vision from DataComputer Vision and Pattern Recognition (CVPR), 2023
Yonglong Tian
Lijie Fan
Kaifeng Chen
Dina Katabi
Dilip Krishnan
Phillip Isola
283
74
0
28 Dec 2023
Unsupervised Universal Image Segmentation
Unsupervised Universal Image Segmentation
Dantong Niu
Xudong Wang
Xinyang Han
Long Lian
Roei Herzig
Trevor Darrell
VLM
264
38
0
28 Dec 2023
3DTINC: Time-Equivariant Non-Contrastive Learning for Predicting Disease
  Progression from Longitudinal OCTs
3DTINC: Time-Equivariant Non-Contrastive Learning for Predicting Disease Progression from Longitudinal OCTs
T. Emre
A. Chakravarty
Antoine Rivail
Dmitrii Lachinov
Oliver Leingang
...
S. Sivaprasad
Daniel Rueckert
A. Lotery
U. Schmidt-Erfurth
Hrvoje Bogunović
MedIm
256
8
0
28 Dec 2023
MIM4DD: Mutual Information Maximization for Dataset Distillation
MIM4DD: Mutual Information Maximization for Dataset Distillation
Yuzhang Shang
Zhihang Yuan
Yan Yan
DD
273
23
0
27 Dec 2023
Token-Level Contrastive Learning with Modality-Aware Prompting for
  Multimodal Intent Recognition
Token-Level Contrastive Learning with Modality-Aware Prompting for Multimodal Intent Recognition
Qianrui Zhou
Hua Xu
Hao Li
Hanlei Zhang
Xiaohan Zhang
Yifan Wang
Kai Gao
344
34
0
22 Dec 2023
Hierarchical Topology Isomorphism Expertise Embedded Graph Contrastive
  Learning
Hierarchical Topology Isomorphism Expertise Embedded Graph Contrastive Learning
Jiangmeng Li
Yifan Jin
Hang Gao
Jingyao Wang
Changwen Zheng
Gang Hua
174
9
0
21 Dec 2023
Bootstrap Masked Visual Modeling via Hard Patches Mining
Bootstrap Masked Visual Modeling via Hard Patches Mining
Haochen Wang
Junsong Fan
Yuxi Wang
Kaiyou Song
Tiancai Wang
Xiangyu Zhang
Zhaoxiang Zhang
237
6
0
21 Dec 2023
Synergistic Anchored Contrastive Pre-training for Few-Shot Relation
  Extraction
Synergistic Anchored Contrastive Pre-training for Few-Shot Relation Extraction
Da Luo
Yanglei Gan
Rui Hou
Run Lin
Qiao Liu
Yuxiang Cai
Wannian Gao
269
11
0
19 Dec 2023
Coreference Graph Guidance for Mind-Map Generation
Coreference Graph Guidance for Mind-Map Generation
Zhuowei Zhang
Mengting Hu
Yinhao Bai
Zhen Zhang
156
2
0
19 Dec 2023
Time-Series Contrastive Learning against False Negatives and Class
  Imbalance
Time-Series Contrastive Learning against False Negatives and Class Imbalance
Xi Jin
Jing Wang
Lei Liu
Youfang Lin
253
3
0
19 Dec 2023
Beyond Prototypes: Semantic Anchor Regularization for Better
  Representation Learning
Beyond Prototypes: Semantic Anchor Regularization for Better Representation Learning
Yanqi Ge
Qiang Nie
Ye Huang
Yong-Jin Liu
Chengjie Wang
Feng Zheng
Wen Li
Lixin Duan
CLL
247
13
0
19 Dec 2023
Cross-Age Contrastive Learning for Age-Invariant Face Recognition
Cross-Age Contrastive Learning for Age-Invariant Face Recognition
Haoyi Wang
Victor Sanchez
Chang-Tsun Li
CVBM
273
10
0
18 Dec 2023
The Right Losses for the Right Gains: Improving the Semantic Consistency
  of Deep Text-to-Image Generation with Distribution-Sensitive Losses
The Right Losses for the Right Gains: Improving the Semantic Consistency of Deep Text-to-Image Generation with Distribution-Sensitive Losses
Mahmoud Ahmed
Omer Moussa
Ismail Shaheen
Mohamed S. Abdelfattah
Amr Abdalla
Marwan Eid
Hesham M. Eraqi
Mohamed Moustafa
268
1
0
18 Dec 2023
Towards Compact 3D Representations via Point Feature Enhancement Masked
  Autoencoders
Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders
Yaohua Zha
Huizhen Ji
Jinmin Li
Rongsheng Li
Tao Dai
Bin Chen
Zhi Wang
Shu-Tao Xia
3DPC
249
61
0
17 Dec 2023
Semantic-Aware Autoregressive Image Modeling for Visual Representation
  Learning
Semantic-Aware Autoregressive Image Modeling for Visual Representation LearningAAAI Conference on Artificial Intelligence (AAAI), 2023
Kaiyou Song
Shan Zhang
Tong Wang
VLM
205
2
0
16 Dec 2023
Data-Efficient Multimodal Fusion on a Single GPU
Data-Efficient Multimodal Fusion on a Single GPUComputer Vision and Pattern Recognition (CVPR), 2023
Noël Vouitsis
Zhaoyan Liu
S. Gorti
Valentin Villecroze
Jesse C. Cresswell
Guangwei Yu
Gabriel Loaiza-Ganem
Anthony L. Caterini
472
11
0
15 Dec 2023
Erasing Self-Supervised Learning Backdoor by Cluster Activation Masking
Erasing Self-Supervised Learning Backdoor by Cluster Activation Masking
Shengsheng Qian
Yifei Wang
Dizhan Xue
Shengjie Zhang
Huaiwen Zhang
Changsheng Xu
AAML
169
1
0
13 Dec 2023
MLNet: Mutual Learning Network with Neighborhood Invariance for
  Universal Domain Adaptation
MLNet: Mutual Learning Network with Neighborhood Invariance for Universal Domain AdaptationAAAI Conference on Artificial Intelligence (AAAI), 2023
Yanzuo Lu
Meng Shen
Andy J. Ma
Xiaohua Xie
Jian-Huang Lai
OOD
336
23
0
13 Dec 2023
Foundation Models in Robotics: Applications, Challenges, and the Future
Foundation Models in Robotics: Applications, Challenges, and the Future
Roya Firoozi
Johnathan Tucker
Stephen Tian
Anirudha Majumdar
Jiankai Sun
...
Brian Ichter
Danny Driess
Jiajun Wu
Cewu Lu
Mac Schwager
LM&RoAI4CELRMVLM
275
290
0
13 Dec 2023
Contextually Affinitive Neighborhood Refinery for Deep Clustering
Contextually Affinitive Neighborhood Refinery for Deep ClusteringNeural Information Processing Systems (NeurIPS), 2023
Chunlin Yu
Ye-ling Shi
Jingya Wang
275
10
0
12 Dec 2023
CLIP in Medical Imaging: A Comprehensive Survey
CLIP in Medical Imaging: A Comprehensive SurveyMedical Image Analysis (MIA), 2023
Zihao Zhao
Yuxiao Liu
Han Wu
Yonghao Li
Sheng Wang
L. Teng
Disheng Liu
Zhiming Cui
Qian Wang
Hongtu Zhu
CLIPMedImLM&MAVLM
581
43
0
12 Dec 2023
Counterfactual World Modeling for Physical Dynamics Understanding
Counterfactual World Modeling for Physical Dynamics Understanding
Rahul Venkatesh
Honglin Chen
Kevin T. Feigelis
Daniel M. Bear
Khaled Jedoui
...
Wanhee Lee
Sherry Liu
Kevin A. Smith
Judith E. Fan
Daniel L. K. Yamins
VGen
314
7
0
11 Dec 2023
Deciphering 'What' and 'Where' Visual Pathways from Spectral Clustering
  of Layer-Distributed Neural Representations
Deciphering 'What' and 'Where' Visual Pathways from Spectral Clustering of Layer-Distributed Neural Representations
Xiao Zhang
David Yunis
Michael Maire
195
7
0
11 Dec 2023
AM-RADIO: Agglomerative Vision Foundation Model -- Reduce All Domains
  Into One
AM-RADIO: Agglomerative Vision Foundation Model -- Reduce All Domains Into One
Michael Ranzinger
Greg Heinrich
Jan Kautz
Pavlo Molchanov
VLM
835
126
0
10 Dec 2023
The Counterattack of CNNs in Self-Supervised Learning: Larger Kernel
  Size might be All You Need
The Counterattack of CNNs in Self-Supervised Learning: Larger Kernel Size might be All You Need
Tianjin Huang
Tianlong Chen
Zinan Lin
Shiwei Liu
322
1
0
09 Dec 2023
Bootstrapping Autonomous Driving Radars with Self-Supervised Learning
Bootstrapping Autonomous Driving Radars with Self-Supervised Learning
Yiduo Hao
Sohrab Madani
Junfeng Guan
Mohammed Alloulah
Saurabh Gupta
Haitham Hassanieh
SSL
353
13
0
07 Dec 2023
Complementary Benefits of Contrastive Learning and Self-Training Under
  Distribution Shift
Complementary Benefits of Contrastive Learning and Self-Training Under Distribution Shift
Saurabh Garg
Amrith Rajagopal Setlur
Zachary Chase Lipton
Sivaraman Balakrishnan
Virginia Smith
Aditi Raghunathan
SSL
252
12
0
06 Dec 2023
Guarding Barlow Twins Against Overfitting with Mixed Samples
Guarding Barlow Twins Against Overfitting with Mixed SamplesAdvanced Video and Signal Based Surveillance (AVSS), 2023
W. G. C. Bandara
C. D. Melo
Vishal M. Patel
SSL
325
12
0
04 Dec 2023
Rejuvenating image-GPT as Strong Visual Representation Learners
Rejuvenating image-GPT as Strong Visual Representation LearnersInternational Conference on Machine Learning (ICML), 2023
Sucheng Ren
Zeyu Wang
Hongru Zhu
Junfei Xiao
Yaoyao Liu
Cihang Xie
VLM
295
12
0
04 Dec 2023
Refine, Discriminate and Align: Stealing Encoders via Sample-Wise
  Prototypes and Multi-Relational Extraction
Refine, Discriminate and Align: Stealing Encoders via Sample-Wise Prototypes and Multi-Relational ExtractionEuropean Conference on Computer Vision (ECCV), 2023
Shuchi Wu
Chuan Ma
Kang Wei
Xiaogang Xu
Ming Ding
Yuwen Qian
Tao Xiang
227
1
0
01 Dec 2023
Improving Unsupervised Relation Extraction by Augmenting Diverse
  Sentence Pairs
Improving Unsupervised Relation Extraction by Augmenting Diverse Sentence PairsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Qing Wang
Kang Zhou
Qiao Qiao
Yuepei Li
Qi Li
246
14
0
01 Dec 2023
Optimal Sample Complexity of Contrastive Learning
Optimal Sample Complexity of Contrastive LearningInternational Conference on Learning Representations (ICLR), 2023
Noga Alon
Dmitrii Avdiukhin
Dor Elboim
Orr Fischer
G. Yaroslavtsev
SSL
289
11
0
01 Dec 2023
Transfer Learning in Robotics: An Upcoming Breakthrough? A Review of
  Promises and Challenges
Transfer Learning in Robotics: An Upcoming Breakthrough? A Review of Promises and Challenges
Noémie Jaquier
Michael C. Welle
A. Gams
Kunpeng Yao
Bernardo Fichera
A. Billard
Aleš Ude
Tamim Asfour
Danica Kragic
268
38
0
29 Nov 2023
On the Adversarial Robustness of Graph Contrastive Learning Methods
On the Adversarial Robustness of Graph Contrastive Learning Methods
Filippo Guerranti
Zinuo Yi
Anna Starovoit
Rafiq Kamel
Simon Geisler
Stephan Günnemann
AAML
325
5
0
29 Nov 2023
Improving Self-supervised Molecular Representation Learning using
  Persistent Homology
Improving Self-supervised Molecular Representation Learning using Persistent HomologyNeural Information Processing Systems (NeurIPS), 2023
Yuankai Luo
Lei Shi
Veronika Thost
SSL
262
10
0
29 Nov 2023
BIM: Block-Wise Self-Supervised Learning with Masked Image Modeling
BIM: Block-Wise Self-Supervised Learning with Masked Image Modeling
Yixuan Luo
Mengye Ren
Sai Qian Zhang
205
1
0
28 Nov 2023
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