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Contrastive Learning with Hard Negative Samples

Contrastive Learning with Hard Negative Samples

9 October 2020
Joshua Robinson
Ching-Yao Chuang
S. Sra
Stefanie Jegelka
    SSL
ArXivPDFHTML

Papers citing "Contrastive Learning with Hard Negative Samples"

50 / 443 papers shown
Title
How to Exploit Hyperspherical Embeddings for Out-of-Distribution
  Detection?
How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection?
Yifei Ming
Yiyou Sun
Ousmane Amadou Dia
Yixuan Li
OODD
24
95
0
08 Mar 2022
Geodesic Multi-Modal Mixup for Robust Fine-Tuning
Geodesic Multi-Modal Mixup for Robust Fine-Tuning
Changdae Oh
Junhyuk So
Hoyoon Byun
Yongtaek Lim
Minchul Shin
Jong-June Jeon
Kyungwoo Song
28
26
0
08 Mar 2022
Where Does the Performance Improvement Come From? -- A Reproducibility
  Concern about Image-Text Retrieval
Where Does the Performance Improvement Come From? -- A Reproducibility Concern about Image-Text Retrieval
Jun Rao
Fei-Yue Wang
Liang Ding
Shuhan Qi
Yibing Zhan
Weifeng Liu
Dacheng Tao
OOD
29
28
0
08 Mar 2022
Exploring Patch-wise Semantic Relation for Contrastive Learning in
  Image-to-Image Translation Tasks
Exploring Patch-wise Semantic Relation for Contrastive Learning in Image-to-Image Translation Tasks
Chanyong Jung
Gihyun Kwon
Jong Chul Ye
24
84
0
03 Mar 2022
Improving Molecular Contrastive Learning via Faulty Negative Mitigation
  and Decomposed Fragment Contrast
Improving Molecular Contrastive Learning via Faulty Negative Mitigation and Decomposed Fragment Contrast
Yuyang Wang
Rishikesh Magar
Chen Liang
A. Farimani
38
78
0
18 Feb 2022
Adversarial Graph Contrastive Learning with Information Regularization
Adversarial Graph Contrastive Learning with Information Regularization
Shengyu Feng
Baoyu Jing
Yada Zhu
Hanghang Tong
20
65
0
14 Feb 2022
Conditional Contrastive Learning with Kernel
Conditional Contrastive Learning with Kernel
Yao-Hung Hubert Tsai
Tianqi Li
Martin Q. Ma
Han Zhao
Kun Zhang
Louis-Philippe Morency
Ruslan Salakhutdinov
19
24
0
11 Feb 2022
SimGRACE: A Simple Framework for Graph Contrastive Learning without Data
  Augmentation
SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation
Jun-Xiong Xia
Lirong Wu
Jintao Chen
Bozhen Hu
Stan Z. Li
9
278
0
07 Feb 2022
Understanding Deep Contrastive Learning via Coordinate-wise Optimization
Understanding Deep Contrastive Learning via Coordinate-wise Optimization
Yuandong Tian
52
34
0
29 Jan 2022
Spectral, Probabilistic, and Deep Metric Learning: Tutorial and Survey
Spectral, Probabilistic, and Deep Metric Learning: Tutorial and Survey
Benyamin Ghojogh
A. Ghodsi
Fakhri Karray
Mark Crowley
49
20
0
23 Jan 2022
Self-supervised Video Representation Learning with Cascade Positive
  Retrieval
Self-supervised Video Representation Learning with Cascade Positive Retrieval
Cheng-En Wu
Farley Lai
Yujie Hu
Asim Kadav
SSL
AI4TS
20
3
0
20 Jan 2022
Offline-Online Associated Camera-Aware Proxies for Unsupervised Person
  Re-identification
Offline-Online Associated Camera-Aware Proxies for Unsupervised Person Re-identification
Menglin Wang
Jiachen Li
Baisheng Lai
Xiaojin Gong
Xiansheng Hua
17
22
0
15 Jan 2022
Pushing the limits of self-supervised ResNets: Can we outperform
  supervised learning without labels on ImageNet?
Pushing the limits of self-supervised ResNets: Can we outperform supervised learning without labels on ImageNet?
Nenad Tomašev
Ioana Bica
Brian McWilliams
Lars Buesing
Razvan Pascanu
Charles Blundell
Jovana Mitrović
SSL
74
80
0
13 Jan 2022
Robust Contrastive Learning against Noisy Views
Robust Contrastive Learning against Noisy Views
Ching-Yao Chuang
R. Devon Hjelm
Xin Eric Wang
Vibhav Vineet
Neel Joshi
Antonio Torralba
Stefanie Jegelka
Ya-heng Song
NoLa
13
68
0
12 Jan 2022
Dual Contrastive Learning for General Face Forgery Detection
Dual Contrastive Learning for General Face Forgery Detection
Ke Sun
Taiping Yao
Shen Chen
Shouhong Ding
L. Jilin
Rongrong Ji
CVBM
11
171
0
27 Dec 2021
Max-Margin Contrastive Learning
Max-Margin Contrastive Learning
Anshul B. Shah
S. Sra
Ramalingam Chellappa
A. Cherian
SSL
18
44
0
21 Dec 2021
Data Efficient Language-supervised Zero-shot Recognition with Optimal
  Transport Distillation
Data Efficient Language-supervised Zero-shot Recognition with Optimal Transport Distillation
Bichen Wu
Rui Cheng
Peizhao Zhang
Tianren Gao
Peter Vajda
Joseph E. Gonzalez
VLM
6
45
0
17 Dec 2021
Bootstrap Equilibrium and Probabilistic Speaker Representation Learning
  for Self-supervised Speaker Verification
Bootstrap Equilibrium and Probabilistic Speaker Representation Learning for Self-supervised Speaker Verification
Sung Hwan Mun
Min Hyun Han
Dongjune Lee
Jihwan Kim
N. Kim
SSL
20
3
0
16 Dec 2021
Multi-Row, Multi-Span Distant Supervision For Table+Text Question
Multi-Row, Multi-Span Distant Supervision For Table+Text Question
Vishwajeet Kumar
Yash Gupta
Saneem A. Chemmengath
Jaydeep Sen
Soumen Chakrabarti
Samarth Bharadwaj
FeiFei Pan
RALM
LMTD
19
8
0
14 Dec 2021
Learning Representations with Contrastive Self-Supervised Learning for
  Histopathology Applications
Learning Representations with Contrastive Self-Supervised Learning for Histopathology Applications
Karin Stacke
Jonas Unger
Claes Lundström
Gabriel Eilertsen
OOD
SSL
21
25
0
10 Dec 2021
Revisiting Contrastive Learning through the Lens of Neighborhood
  Component Analysis: an Integrated Framework
Revisiting Contrastive Learning through the Lens of Neighborhood Component Analysis: an Integrated Framework
Ching-Yun Ko
Jeet Mohapatra
Sijia Liu
Pin-Yu Chen
Lucani E. Daniel
Lily Weng
SSL
17
11
0
08 Dec 2021
Boosting Discriminative Visual Representation Learning with
  Scenario-Agnostic Mixup
Boosting Discriminative Visual Representation Learning with Scenario-Agnostic Mixup
Siyuan Li
Zicheng Liu
Zedong Wang
Di Wu
Zihan Liu
Stan Z. Li
27
26
0
30 Nov 2021
Similarity Contrastive Estimation for Self-Supervised Soft Contrastive
  Learning
Similarity Contrastive Estimation for Self-Supervised Soft Contrastive Learning
J. Denize
Jaonary Rabarisoa
Astrid Orcesi
Romain Hérault
S. Canu
SSL
19
30
0
29 Nov 2021
A Practical Contrastive Learning Framework for Single-Image
  Super-Resolution
A Practical Contrastive Learning Framework for Single-Image Super-Resolution
Gang Wu
Junjun Jiang
Xianming Liu
31
50
0
27 Nov 2021
Hard Negative Sampling via Regularized Optimal Transport for Contrastive
  Representation Learning
Hard Negative Sampling via Regularized Optimal Transport for Contrastive Representation Learning
Ruijie Jiang
Prakash Ishwar
Shuchin Aeron
SSL
14
6
0
04 Nov 2021
Leveraging Time Irreversibility with Order-Contrastive Pre-training
Leveraging Time Irreversibility with Order-Contrastive Pre-training
Monica Agrawal
Hunter Lang
M. Offin
L. Gazit
David Sontag
11
6
0
04 Nov 2021
Rebooting ACGAN: Auxiliary Classifier GANs with Stable Training
Rebooting ACGAN: Auxiliary Classifier GANs with Stable Training
Minguk Kang
Woohyeon Shim
Minsu Cho
Jaesik Park
GAN
28
107
0
01 Nov 2021
RadBERT-CL: Factually-Aware Contrastive Learning For Radiology Report
  Classification
RadBERT-CL: Factually-Aware Contrastive Learning For Radiology Report Classification
Ajay Jaiswal
Liyan Tang
Meheli Ghosh
J. Rousseau
Yifan Peng
Ying Ding
MedIm
17
15
0
28 Oct 2021
Self-Supervised Learning Disentangled Group Representation as Feature
Self-Supervised Learning Disentangled Group Representation as Feature
Tan Wang
Zhongqi Yue
Jianqiang Huang
Qianru Sun
Hanwang Zhang
OOD
29
67
0
28 Oct 2021
GenURL: A General Framework for Unsupervised Representation Learning
GenURL: A General Framework for Unsupervised Representation Learning
Siyuan Li
Zicheng Liu
Z. Zang
Di Wu
Zhiyuan Chen
Stan Z. Li
OOD
3DGS
OffRL
26
9
0
27 Oct 2021
Robust Contrastive Learning Using Negative Samples with Diminished
  Semantics
Robust Contrastive Learning Using Negative Samples with Diminished Semantics
Songwei Ge
Shlok Kumar Mishra
Haohan Wang
Chun-Liang Li
David Jacobs
SSL
13
71
0
27 Oct 2021
Self-supervised EEG Representation Learning for Automatic Sleep Staging
Self-supervised EEG Representation Learning for Automatic Sleep Staging
Chaoqi Yang
MSc Cao Xiao
PhD M Brandon Westover
PhD Jimeng Sun
SSL
38
21
0
27 Oct 2021
Contrastive Learning for Neural Topic Model
Contrastive Learning for Neural Topic Model
Thong Nguyen
A. Luu
24
55
0
25 Oct 2021
Weakly Supervised Semantic Segmentation by Pixel-to-Prototype Contrast
Weakly Supervised Semantic Segmentation by Pixel-to-Prototype Contrast
Ye Du
Zehua Fu
Qingjie Liu
Yunhong Wang
87
129
0
14 Oct 2021
Decoupled Contrastive Learning
Decoupled Contrastive Learning
Chun-Hsiao Yeh
Cheng-Yao Hong
Yen-Chi Hsu
Tyng-Luh Liu
Yubei Chen
Yann LeCun
178
182
0
13 Oct 2021
Digging Into Self-Supervised Learning of Feature Descriptors
Digging Into Self-Supervised Learning of Feature Descriptors
Iaroslav Melekhov
Zakaria Laskar
Xiaotian Li
Shuzhe Wang
Juho Kannala
SSL
27
8
0
10 Oct 2021
Topology-Imbalance Learning for Semi-Supervised Node Classification
Topology-Imbalance Learning for Semi-Supervised Node Classification
Deli Chen
Yankai Lin
Guangxiang Zhao
Xuancheng Ren
Peng Li
Jie Zhou
Xu Sun
13
86
0
08 Oct 2021
Towards Learning (Dis)-Similarity of Source Code from Program Contrasts
Towards Learning (Dis)-Similarity of Source Code from Program Contrasts
Yangruibo Ding
Luca Buratti
Saurabh Pujar
Alessandro Morari
Baishakhi Ray
Saikat Chakraborty
8
36
0
08 Oct 2021
ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning
ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning
Jun-Xiong Xia
Lirong Wu
Ge Wang
Jintao Chen
Stan Z. Li
25
120
0
05 Oct 2021
CrossCLR: Cross-modal Contrastive Learning For Multi-modal Video
  Representations
CrossCLR: Cross-modal Contrastive Learning For Multi-modal Video Representations
Mohammadreza Zolfaghari
Yi Zhu
Peter V. Gehler
Thomas Brox
127
127
0
30 Sep 2021
Multi-view Contrastive Self-Supervised Learning of Accounting Data
  Representations for Downstream Audit Tasks
Multi-view Contrastive Self-Supervised Learning of Accounting Data Representations for Downstream Audit Tasks
Marco Schreyer
Timur Sattarov
Damian Borth
MLAU
18
15
0
23 Sep 2021
ConvFiT: Conversational Fine-Tuning of Pretrained Language Models
ConvFiT: Conversational Fine-Tuning of Pretrained Language Models
Ivan Vulić
Pei-hao Su
Sam Coope
D. Gerz
Paweł Budzianowski
I. Casanueva
Nikola Mrkvsić
Tsung-Hsien Wen
19
36
0
21 Sep 2021
On the Importance of Distractors for Few-Shot Classification
On the Importance of Distractors for Few-Shot Classification
Rajshekhar Das
Yu-xiong Wang
José M. F. Moura
13
28
0
20 Sep 2021
Deep Bregman Divergence for Contrastive Learning of Visual
  Representations
Deep Bregman Divergence for Contrastive Learning of Visual Representations
Mina Rezaei
Farzin Soleymani
B. Bischl
Shekoofeh Azizi
SSL
44
16
0
15 Sep 2021
YES SIR!Optimizing Semantic Space of Negatives with Self-Involvement
  Ranker
YES SIR!Optimizing Semantic Space of Negatives with Self-Involvement Ranker
Ruizhi Pu
Xinyu Zhang
Ruofei Lai
Zikai Guo
Yinxia Zhang
Hao Jiang
Yongkang Wu
Yantao Jia
Zhicheng Dou
Zhao Cao
16
1
0
14 Sep 2021
Contrastive Quantization with Code Memory for Unsupervised Image
  Retrieval
Contrastive Quantization with Code Memory for Unsupervised Image Retrieval
Jinpeng Wang
Ziyun Zeng
Bin Chen
Tao Dai
Shutao Xia
MQ
34
45
0
11 Sep 2021
Efficient Contrastive Learning via Novel Data Augmentation and
  Curriculum Learning
Efficient Contrastive Learning via Novel Data Augmentation and Curriculum Learning
Seonghyeon Ye
Jiseon Kim
Alice H. Oh
CLL
VLM
24
21
0
10 Sep 2021
Hybrid Contrastive Learning of Tri-Modal Representation for Multimodal
  Sentiment Analysis
Hybrid Contrastive Learning of Tri-Modal Representation for Multimodal Sentiment Analysis
Sijie Mai
Ying Zeng
Shuangjia Zheng
Haifeng Hu
11
115
0
04 Sep 2021
An Empirical Study of Graph Contrastive Learning
An Empirical Study of Graph Contrastive Learning
Yanqiao Zhu
Yichen Xu
Qiang Liu
Shu Wu
11
167
0
02 Sep 2021
MVCNet: Multiview Contrastive Network for Unsupervised Representation
  Learning for 3D CT Lesions
MVCNet: Multiview Contrastive Network for Unsupervised Representation Learning for 3D CT Lesions
Penghua Zhai
Huaiwei Cong
Gangming Zhao
Chaowei Fang
Jinpeng Li
Ting Cai
Huiguang He
17
10
0
17 Aug 2021
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