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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 / 1,940 papers shown
Title
CCFC: Bridging Federated Clustering and Contrastive Learning
CCFC: Bridging Federated Clustering and Contrastive Learning
Jing Liu
Jing Liu
Zhonghan Zhang
FedML
106
3
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 Answering
Yueqian Wang
Yuxuan Wang
Kai Chen
Dongyan Zhao
67
2
0
08 Jan 2024
Preserving Silent Features for Domain Generalization
Preserving Silent Features for Domain Generalization
Chujie Zhao
Tianren Zhang
Feng Chen
95
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
82
1
0
31 Dec 2023
Visual Point Cloud Forecasting enables Scalable Autonomous Driving
Visual Point Cloud Forecasting enables Scalable Autonomous Driving
Zetong Yang
Li Chen
Yanan Sun
Hongyang Li
3DPC
127
51
0
29 Dec 2023
Learning Vision from Models Rivals Learning Vision from Data
Learning Vision from Models Rivals Learning Vision from Data
Yonglong Tian
Lijie Fan
Kaifeng Chen
Dina Katabi
Dilip Krishnan
Phillip Isola
108
51
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
94
20
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
79
3
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
88
15
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
93
18
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
71
5
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
81
5
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
77
6
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
50
0
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
110
1
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
75
10
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
114
4
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
111
0
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
109
32
0
17 Dec 2023
Semantic-Aware Autoregressive Image Modeling for Visual Representation
  Learning
Semantic-Aware Autoregressive Image Modeling for Visual Representation Learning
Kaiyou Song
Shan Zhang
Tong Wang
VLM
81
2
0
16 Dec 2023
Data-Efficient Multimodal Fusion on a Single GPU
Data-Efficient Multimodal Fusion on a Single GPU
Noël Vouitsis
Zhaoyan Liu
S. Gorti
Valentin Villecroze
Jesse C. Cresswell
Guangwei Yu
Gabriel Loaiza-Ganem
M. Volkovs
127
3
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
83
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 Adaptation
Yanzuo Lu
Meng Shen
Andy J. Ma
Xiaohua Xie
Jian-Huang Lai
OOD
120
14
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
108
161
0
13 Dec 2023
Contextually Affinitive Neighborhood Refinery for Deep Clustering
Contextually Affinitive Neighborhood Refinery for Deep Clustering
Chunlin Yu
Ye-ling Shi
Jingya Wang
98
7
0
12 Dec 2023
CLIP in Medical Imaging: A Comprehensive Survey
CLIP in Medical Imaging: A Comprehensive Survey
Zihao Zhao
Yuxiao Liu
Han Wu
Yonghao Li
Sheng Wang
L. Teng
Disheng Liu
Zhiming Cui
Qian Wang
Dinggang Shen
CLIPMedImLM&MAVLM
156
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
89
2
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
56
4
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
165
50
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
Zhangyang Wang
Shiwei Liu
64
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
75
3
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
74
9
0
06 Dec 2023
Guarding Barlow Twins Against Overfitting with Mixed Samples
Guarding Barlow Twins Against Overfitting with Mixed Samples
W. G. C. Bandara
C. D. Melo
Vishal M. Patel
SSL
109
11
0
04 Dec 2023
Rejuvenating image-GPT as Strong Visual Representation Learners
Rejuvenating image-GPT as Strong Visual Representation Learners
Sucheng Ren
Zeyu Wang
Hongru Zhu
Junfei Xiao
Alan Yuille
Cihang Xie
VLM
116
8
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 Extraction
Shuchi Wu
Chuan Ma
Kang Wei
Xiaogang Xu
Ming Ding
Yuwen Qian
Tao Xiang
62
0
0
01 Dec 2023
Improving Unsupervised Relation Extraction by Augmenting Diverse
  Sentence Pairs
Improving Unsupervised Relation Extraction by Augmenting Diverse Sentence Pairs
Qing Wang
Kang Zhou
Qiao Qiao
Yuepei Li
Qi Li
104
9
0
01 Dec 2023
Optimal Sample Complexity of Contrastive Learning
Optimal Sample Complexity of Contrastive Learning
Noga Alon
Dmitrii Avdiukhin
Dor Elboim
Orr Fischer
G. Yaroslavtsev
SSL
73
7
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
100
14
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
130
2
0
29 Nov 2023
Improving Self-supervised Molecular Representation Learning using
  Persistent Homology
Improving Self-supervised Molecular Representation Learning using Persistent Homology
Yuankai Luo
Lei Shi
Veronika Thost
SSL
97
8
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
64
0
0
28 Nov 2023
Agent-Aware Training for Agent-Agnostic Action Advising in Deep
  Reinforcement Learning
Agent-Aware Training for Agent-Agnostic Action Advising in Deep Reinforcement Learning
Yaoquan Wei
Shunyu Liu
Mingli Song
Tongya Zheng
Kaixuan Chen
Yong Wang
Mingli Song
69
1
0
28 Nov 2023
DiffusionTalker: Personalization and Acceleration for Speech-Driven 3D
  Face Diffuser
DiffusionTalker: Personalization and Acceleration for Speech-Driven 3D Face Diffuser
Peng Chen
Xiaobao Wei
Ming Lu
Yitong Zhu
Nai-Ming Yao
Xingyu Xiao
Hui Chen
81
13
0
28 Nov 2023
Unsupervised Multimodal Deepfake Detection Using Intra- and Cross-Modal
  Inconsistencies
Unsupervised Multimodal Deepfake Detection Using Intra- and Cross-Modal Inconsistencies
Mulin Tian
Mahyar Khayatkhoei
Joe Mathai
Wael AbdAlmageed
96
7
0
28 Nov 2023
UFDA: Universal Federated Domain Adaptation with Practical Assumptions
UFDA: Universal Federated Domain Adaptation with Practical Assumptions
Xinhui Liu
Zhenghao Chen
Luping Zhou
Dong Xu
Wei Xi
Gairui Bai
Yihan Zhao
Jizhong Zhao
87
4
0
27 Nov 2023
CUCL: Codebook for Unsupervised Continual Learning
CUCL: Codebook for Unsupervised Continual Learning
Chen Cheng
Jingkuan Song
Xiaosu Zhu
Sitong Su
Lianli Gao
Jikang Cheng
CLL
53
2
0
25 Nov 2023
Understanding Self-Supervised Features for Learning Unsupervised
  Instance Segmentation
Understanding Self-Supervised Features for Learning Unsupervised Instance Segmentation
Paul Engstler
Luke Melas-Kyriazi
Christian Rupprecht
Iro Laina
SSL
65
5
0
24 Nov 2023
Robust Domain Misinformation Detection via Multi-modal Feature Alignment
Robust Domain Misinformation Detection via Multi-modal Feature Alignment
Hui Liu
Wenya Wang
Hao Sun
Anderson de Rezende Rocha
Haoliang Li
94
14
0
24 Nov 2023
HOPE: A Memory-Based and Composition-Aware Framework for Zero-Shot Learning with Hopfield Network and Soft Mixture of Experts
HOPE: A Memory-Based and Composition-Aware Framework for Zero-Shot Learning with Hopfield Network and Soft Mixture of Experts
Do Huu Dat
Po Yuan Mao
Tien Hoang Nguyen
Wray Buntine
Bennamoun
120
2
0
23 Nov 2023
Event Camera Data Dense Pre-training
Event Camera Data Dense Pre-training
Yan Yang
Liyuan Pan
Liu Liu
65
4
0
20 Nov 2023
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