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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
Rethinking Samples Selection for Contrastive Learning: Mining of
  Potential Samples
Rethinking Samples Selection for Contrastive Learning: Mining of Potential Samples
Hengkui Dong
Xianzhong Long
Yun Li
34
2
0
01 Nov 2023
Patch-Wise Self-Supervised Visual Representation Learning: A
  Fine-Grained Approach
Patch-Wise Self-Supervised Visual Representation Learning: A Fine-Grained Approach
Ali Javidani
Mohammad Amin Sadeghi
Babak Nadjar Araabi
25
0
0
28 Oct 2023
Topology-aware Debiased Self-supervised Graph Learning for
  Recommendation
Topology-aware Debiased Self-supervised Graph Learning for Recommendation
Leiqian Han
Hui Yan
Zhicheng Qiao
13
1
0
24 Oct 2023
Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules
Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules
Zhiyuan Liu
Yaorui Shi
An Zhang
Enzhi Zhang
Kenji Kawaguchi
Xiang Wang
Tat-Seng Chua
AI4CE
31
35
0
23 Oct 2023
A Novel Information-Theoretic Objective to Disentangle Representations
  for Fair Classification
A Novel Information-Theoretic Objective to Disentangle Representations for Fair Classification
Pierre Colombo
Nathan Noiry
Guillaume Staerman
Pablo Piantanida
FaML
DRL
35
1
0
21 Oct 2023
Augment with Care: Enhancing Graph Contrastive Learning with Selective
  Spectrum Perturbation
Augment with Care: Enhancing Graph Contrastive Learning with Selective Spectrum Perturbation
Kaiqi Yang
Haoyu Han
Wei-dong Jin
Hui Liu
19
2
0
20 Oct 2023
ARNIQA: Learning Distortion Manifold for Image Quality Assessment
ARNIQA: Learning Distortion Manifold for Image Quality Assessment
Lorenzo Agnolucci
L. Galteri
Marco Bertini
A. Bimbo
29
32
0
20 Oct 2023
Contrastive Preference Learning: Learning from Human Feedback without RL
Contrastive Preference Learning: Learning from Human Feedback without RL
Joey Hejna
Rafael Rafailov
Harshit S. Sikchi
Chelsea Finn
S. Niekum
W. B. Knox
Dorsa Sadigh
OffRL
19
50
0
20 Oct 2023
Domain-specific optimization and diverse evaluation of self-supervised
  models for histopathology
Domain-specific optimization and diverse evaluation of self-supervised models for histopathology
Jeremy Lai
Faruk Ahmed
Supriya Vijay
Tiam Jaroensri
Jessica Loo
...
Jonathan Krause
Yun-hui Liu
Po-Hsuan Cameron Chen
Ellery Wulczyn
David F. Steiner
35
7
0
20 Oct 2023
PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly
  Detection
PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection
Junjun Pan
Yixin Liu
Yizhen Zheng
Shirui Pan
34
18
0
18 Oct 2023
Refining Latent Representations: A Generative SSL Approach for
  Heterogeneous Graph Learning
Refining Latent Representations: A Generative SSL Approach for Heterogeneous Graph Learning
Yulan Hu
Zhirui Yang
Ouyang Sheng
Yong Liu
19
1
0
17 Oct 2023
Understanding Contrastive Learning via Distributionally Robust
  Optimization
Understanding Contrastive Learning via Distributionally Robust Optimization
Junkang Wu
Jiawei Chen
Jiancan Wu
Wentao Shi
Xiang Wang
Xiangnan He
24
24
0
17 Oct 2023
DropMix: Better Graph Contrastive Learning with Harder Negative Samples
DropMix: Better Graph Contrastive Learning with Harder Negative Samples
Yueqi Ma
Minjie Chen
Xiang Li
SSL
20
1
0
15 Oct 2023
HiCL: Hierarchical Contrastive Learning of Unsupervised Sentence
  Embeddings
HiCL: Hierarchical Contrastive Learning of Unsupervised Sentence Embeddings
Zhuofeng Wu
Chaowei Xiao
V. Vydiswaran
15
2
0
15 Oct 2023
AdaptSSR: Pre-training User Model with Augmentation-Adaptive
  Self-Supervised Ranking
AdaptSSR: Pre-training User Model with Augmentation-Adaptive Self-Supervised Ranking
Yang Yu
Qi Liu
Kai Zhang
Yuren Zhang
Chao Song
Min Hou
Yuqing Yuan
Zhihao Ye
Zaixin Zhang
Sanshi Lei Yu
30
2
0
15 Oct 2023
Causal Unsupervised Semantic Segmentation
Causal Unsupervised Semantic Segmentation
Junho Kim
Byung-Kwan Lee
Yonghyun Ro
33
18
0
11 Oct 2023
Improving Contrastive Learning of Sentence Embeddings with Focal-InfoNCE
Improving Contrastive Learning of Sentence Embeddings with Focal-InfoNCE
Peng-Fei Hou
Xingyu Li
20
6
0
10 Oct 2023
SemST: Semantically Consistent Multi-Scale Image Translation via
  Structure-Texture Alignment
SemST: Semantically Consistent Multi-Scale Image Translation via Structure-Texture Alignment
Ganning Zhao
Wenhui Cui
Suya You
C.-C. Jay Kuo
32
2
0
08 Oct 2023
Cold-start Bundle Recommendation via Popularity-based Coalescence and
  Curriculum Heating
Cold-start Bundle Recommendation via Popularity-based Coalescence and Curriculum Heating
Hyunsik Jeon
Jong-eun Lee
Jeongin Yun
U. Kang
17
7
0
05 Oct 2023
Information Flow in Self-Supervised Learning
Information Flow in Self-Supervised Learning
Zhiyuan Tan
Jingqin Yang
Weiran Huang
Yang Yuan
Yifan Zhang
SSL
25
13
0
29 Sep 2023
Pre-training-free Image Manipulation Localization through Non-Mutually
  Exclusive Contrastive Learning
Pre-training-free Image Manipulation Localization through Non-Mutually Exclusive Contrastive Learning
Jizhe Zhou
Xiaochen Ma
Xia Du
Ahmed Y. Al Hammadi
Wentao Feng
VLM
SSL
32
23
0
26 Sep 2023
BELT:Bootstrapping Electroencephalography-to-Language Decoding and Zero-Shot Sentiment Classification by Natural Language Supervision
Jinzhao Zhou
Yiqun Duan
Yu-Cheng Chang
Yu-Kai Wang
Chin-Teng Lin
31
6
0
21 Sep 2023
Towards Better Modeling with Missing Data: A Contrastive Learning-based
  Visual Analytics Perspective
Towards Better Modeling with Missing Data: A Contrastive Learning-based Visual Analytics Perspective
Laixin Xie
Ouyang Yang
Long-fei Chen
Ziming Wu
Quan Li
8
0
0
18 Sep 2023
GCL: Gradient-Guided Contrastive Learning for Medical Image Segmentation
  with Multi-Perspective Meta Labels
GCL: Gradient-Guided Contrastive Learning for Medical Image Segmentation with Multi-Perspective Meta Labels
YiXuan Wu
Jintai Chen
Jiahuan Yan
Yiheng Zhu
D. Z. Chen
Jian Wu
VLM
26
6
0
16 Sep 2023
Road Disease Detection based on Latent Domain Background Feature
  Separation and Suppression
Road Disease Detection based on Latent Domain Background Feature Separation and Suppression
Juwu Zheng
Jiangtao Ren
21
2
0
14 Sep 2023
Graph Self-Contrast Representation Learning
Graph Self-Contrast Representation Learning
Minjie Chen
Yao Cheng
Ye Wang
Xiangci Li
Ming Gao
SSL
21
1
0
05 Sep 2023
Multimodal Contrastive Learning with Hard Negative Sampling for Human
  Activity Recognition
Multimodal Contrastive Learning with Hard Negative Sampling for Human Activity Recognition
Hyeongju Choi
Apoorva Beedu
Irfan Essa
SSL
21
3
0
03 Sep 2023
When hard negative sampling meets supervised contrastive learning
When hard negative sampling meets supervised contrastive learning
Zijun Long
George Killick
R. McCreadie
Gerardo Aragon Camarasa
Zaiqiao Meng
SSL
26
3
0
28 Aug 2023
Self-Supervised Representation Learning with Cross-Context Learning
  between Global and Hypercolumn Features
Self-Supervised Representation Learning with Cross-Context Learning between Global and Hypercolumn Features
Zheng Gao
Chen Feng
Ioannis Patras
SSL
17
3
0
25 Aug 2023
Information Theory-Guided Heuristic Progressive Multi-View Coding
Information Theory-Guided Heuristic Progressive Multi-View Coding
Jiangmeng Li
Hang Gao
Wenwen Qiang
Changwen Zheng
22
2
0
21 Aug 2023
Pretrained deep models outperform GBDTs in Learning-To-Rank under label
  scarcity
Pretrained deep models outperform GBDTs in Learning-To-Rank under label scarcity
Charlie Hou
K. K. Thekumparampil
Michael Shavlovsky
Giulia Fanti
Yesh Dattatreya
Sujay Sanghavi
LMTD
13
1
0
31 Jul 2023
Hierarchical Skeleton Meta-Prototype Contrastive Learning with Hard
  Skeleton Mining for Unsupervised Person Re-Identification
Hierarchical Skeleton Meta-Prototype Contrastive Learning with Hard Skeleton Mining for Unsupervised Person Re-Identification
Haocong Rao
Cyril Leung
Chun Miao
3DH
23
8
0
24 Jul 2023
SCRAPS: Speech Contrastive Representations of Acoustic and Phonetic
  Spaces
SCRAPS: Speech Contrastive Representations of Acoustic and Phonetic Spaces
Iván Vallés-Pérez
Grzegorz Beringer
Piotr Bilinski
G. Cook
Roberto Barra-Chicote
11
1
0
23 Jul 2023
ASCON: Anatomy-aware Supervised Contrastive Learning Framework for
  Low-dose CT Denoising
ASCON: Anatomy-aware Supervised Contrastive Learning Framework for Low-dose CT Denoising
Zhihao Chen
Qinhan Gao
Yi Zhang
Hongming Shan
23
16
0
23 Jul 2023
Hallucination Improves the Performance of Unsupervised Visual
  Representation Learning
Hallucination Improves the Performance of Unsupervised Visual Representation Learning
Jing Wu
Jennifer Hobbs
N. Hovakimyan
SSL
24
21
0
22 Jul 2023
Composition-contrastive Learning for Sentence Embeddings
Composition-contrastive Learning for Sentence Embeddings
Sachin Chanchani
Ruihong Huang
27
7
0
14 Jul 2023
Mini-Batch Optimization of Contrastive Loss
Mini-Batch Optimization of Contrastive Loss
Jaewoong Cho
Kartik K. Sreenivasan
Keon Lee
Kyunghoo Mun
Soheun Yi
Jeong-Gwan Lee
Anna Lee
Jy-yong Sohn
Dimitris Papailiopoulos
Kangwook Lee
SSL
35
7
0
12 Jul 2023
Threshold-Consistent Margin Loss for Open-World Deep Metric Learning
Threshold-Consistent Margin Loss for Open-World Deep Metric Learning
Q. Zhang
Linghan Xu
Qingming Tang
Jun Fang
Yingqi Wu
Joseph Tighe
Yifan Xing
22
4
0
08 Jul 2023
Large Language Models as Batteries-Included Zero-Shot ESCO Skills
  Matchers
Large Language Models as Batteries-Included Zero-Shot ESCO Skills Matchers
Benjamin Clavié
Guillaume Soulié
24
11
0
07 Jul 2023
Multi-Similarity Contrastive Learning
Multi-Similarity Contrastive Learning
Emily Mu
John Guttag
Maggie Makar
SSL
28
2
0
06 Jul 2023
Graph Contrastive Topic Model
Graph Contrastive Topic Model
Zheheng Luo
Lei Liu
Qianqian Xie
Sophia Ananiadou
16
2
0
05 Jul 2023
Benchmarking Zero-Shot Recognition with Vision-Language Models:
  Challenges on Granularity and Specificity
Benchmarking Zero-Shot Recognition with Vision-Language Models: Challenges on Granularity and Specificity
Zhenlin Xu
Yi Zhu
Tiffany Deng
Abhay Mittal
Yanbei Chen
Manchen Wang
Paolo Favaro
Joseph Tighe
Davide Modolo
VLM
CoGe
16
7
0
28 Jun 2023
GraSS: Contrastive Learning with Gradient Guided Sampling Strategy for
  Remote Sensing Image Semantic Segmentation
GraSS: Contrastive Learning with Gradient Guided Sampling Strategy for Remote Sensing Image Semantic Segmentation
Zhaoyang Zhang
Zhen Ren
Chao Tao
Yunsheng Zhang
Cheng-Shuang Peng
Haifeng Li
SSL
35
12
0
28 Jun 2023
Semantic Positive Pairs for Enhancing Visual Representation Learning of Instance Discrimination Methods
Semantic Positive Pairs for Enhancing Visual Representation Learning of Instance Discrimination Methods
Mohammad Alkhalefi
Georgios Leontidis
Min Zhong
SSL
87
2
0
28 Jun 2023
MOVES: Movable and Moving LiDAR Scene Segmentation in Label-Free
  settings using Static Reconstruction
MOVES: Movable and Moving LiDAR Scene Segmentation in Label-Free settings using Static Reconstruction
Prashant Kumar
Dhruv Makwana
Onkar Susladkar
Anurag Mittal
P. K. Kalra
3DV
3DPC
18
1
0
26 Jun 2023
Hard Sample Mining Enabled Supervised Contrastive Feature Learning for
  Wind Turbine Pitch System Fault Diagnosis
Hard Sample Mining Enabled Supervised Contrastive Feature Learning for Wind Turbine Pitch System Fault Diagnosis
Zixuan Wang
Bo Qin
Mengxuan Li
Jian Zhang
M. Butala
Peng Peng
Hongwei Wang
13
0
0
26 Jun 2023
GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node
  Classification
GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification
Wenzhong Li
Changdong Wang
Hui Xiong
Jian-Huang Lai
22
24
0
16 Jun 2023
Contrasting Intra-Modal and Ranking Cross-Modal Hard Negatives to
  Enhance Visio-Linguistic Compositional Understanding
Contrasting Intra-Modal and Ranking Cross-Modal Hard Negatives to Enhance Visio-Linguistic Compositional Understanding
Le Zhang
Rabiul Awal
Aishwarya Agrawal
CoGe
VLM
31
9
0
15 Jun 2023
ScoreCL: Augmentation-Adaptive Contrastive Learning via Score-Matching
  Function
ScoreCL: Augmentation-Adaptive Contrastive Learning via Score-Matching Function
Jinyoung Kim
Soonwoo Kwon
Hyojun Go
Yunsung Lee
Seungtaek Choi
Hyun-Gyoon Kim
27
1
0
07 Jun 2023
Randomized Schur Complement Views for Graph Contrastive Learning
Randomized Schur Complement Views for Graph Contrastive Learning
Vignesh Kothapalli
12
1
0
06 Jun 2023
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