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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
Planning in the Dark: LLM-Symbolic Planning Pipeline without Experts
Planning in the Dark: LLM-Symbolic Planning Pipeline without Experts
Sukai Huang
N. Lipovetzky
Trevor Cohn
DiffM
23
1
0
24 Sep 2024
ManiNeg: Manifestation-guided Multimodal Pretraining for Mammography
  Classification
ManiNeg: Manifestation-guided Multimodal Pretraining for Mammography Classification
Xujun Li
Xin Wei
Jing Jiang
Danxiang Chen
Wei Zhang
Jinpeng Li
33
0
0
24 Sep 2024
ViKL: A Mammography Interpretation Framework via Multimodal Aggregation
  of Visual-knowledge-linguistic Features
ViKL: A Mammography Interpretation Framework via Multimodal Aggregation of Visual-knowledge-linguistic Features
Xin Wei
Yaling Tao
Changde Du
Gangming Zhao
Yizhou Yu
Jinpeng Li
33
0
0
24 Sep 2024
Enabling Tensor Decomposition for Time-Series Classification via A
  Simple Pseudo-Laplacian Contrast
Enabling Tensor Decomposition for Time-Series Classification via A Simple Pseudo-Laplacian Contrast
Man Li
Ziyue Li
Lijun Sun
Fugee Tsung
AI4TS
18
1
0
23 Sep 2024
Self-Contrastive Forward-Forward Algorithm
Self-Contrastive Forward-Forward Algorithm
Xing Chen
Dongshu Liu
Jérémie Laydevant
Julie Grollier
34
2
0
17 Sep 2024
An Efficient Self-Learning Framework For Interactive Spoken Dialog
  Systems
An Efficient Self-Learning Framework For Interactive Spoken Dialog Systems
Hitesh Tulsiani
David M. Chan
Shalini Ghosh
Garima Lalwani
Prabhat Pandey
Ankish Bansal
Sri Garimella
Ariya Rastrow
Björn Hoffmeister
26
0
0
16 Sep 2024
Are Sparse Neural Networks Better Hard Sample Learners?
Are Sparse Neural Networks Better Hard Sample Learners?
Q. Xiao
Boqian Wu
Lu Yin
Christopher Neil Gadzinski
Tianjin Huang
Mykola Pechenizkiy
D. Mocanu
35
1
0
13 Sep 2024
Improved Diversity-Promoting Collaborative Metric Learning for
  Recommendation
Improved Diversity-Promoting Collaborative Metric Learning for Recommendation
Shilong Bao
Qianqian Xu
Zhiyong Yang
Yuan He
Xiaochun Cao
Qingming Huang
45
5
0
02 Sep 2024
Contrastive Learning with Synthetic Positives
Contrastive Learning with Synthetic Positives
Dewen Zeng
Yawen Wu
Xinrong Hu
Xiaowei Xu
Yiyu Shi
SyDa
SSL
46
1
0
30 Aug 2024
Extremely Fine-Grained Visual Classification over Resembling Glyphs in
  the Wild
Extremely Fine-Grained Visual Classification over Resembling Glyphs in the Wild
F. Bougourzi
Fadi Dornaika
Chongsheng Zhang
32
0
0
25 Aug 2024
Uniting contrastive and generative learning for event sequences models
Uniting contrastive and generative learning for event sequences models
Aleksandr Yugay
Alexey Zaytsev
AI4TS
32
1
0
19 Aug 2024
Evaluating Language Model Math Reasoning via Grounding in Educational
  Curricula
Evaluating Language Model Math Reasoning via Grounding in Educational Curricula
L. Lucy
Tal August
Rose E. Wang
Luca Soldaini
Courtney Allison
Kyle Lo
ReLM
LRM
29
3
0
08 Aug 2024
HDPlanner: Advancing Autonomous Deployments in Unknown Environments
  through Hierarchical Decision Networks
HDPlanner: Advancing Autonomous Deployments in Unknown Environments through Hierarchical Decision Networks
Jingsong Liang
Yuhong Cao
Yixiao Ma
Hanqi Zhao
Guillaume Sartoretti
30
2
0
07 Aug 2024
Invariant Graph Learning Meets Information Bottleneck for Out-of-Distribution Generalization
Invariant Graph Learning Meets Information Bottleneck for Out-of-Distribution Generalization
Wenyu Mao
Jiancan Wu
Haoyang Liu
Yongduo Sui
Xiang Wang
OOD
37
2
0
03 Aug 2024
Model Attribution in LLM-Generated Disinformation: A Domain
  Generalization Approach with Supervised Contrastive Learning
Model Attribution in LLM-Generated Disinformation: A Domain Generalization Approach with Supervised Contrastive Learning
Alimohammad Beigi
Zhen Tan
Nivedh Mudiam
Canyu Chen
Kai Shu
Huan Liu
DeLMO
34
2
0
31 Jul 2024
Event-Arguments Extraction Corpus and Modeling using BERT for Arabic
Event-Arguments Extraction Corpus and Modeling using BERT for Arabic
Alaa Aljabari
Lina Duaibes
Mustafa Jarrar
Mohammed Khalilia
42
3
0
30 Jul 2024
Contrastive Learning of Asset Embeddings from Financial Time Series
Contrastive Learning of Asset Embeddings from Financial Time Series
Rian Dolphin
Barry Smyth
Ruihai Dong
AI4TS
14
0
0
26 Jul 2024
Learning Goal-Conditioned Representations for Language Reward Models
Learning Goal-Conditioned Representations for Language Reward Models
Vaskar Nath
Dylan Slack
Jeff Da
Yuntao Ma
Hugh Zhang
Spencer Whitehead
Sean Hendryx
24
0
0
18 Jul 2024
EchoSight: Advancing Visual-Language Models with Wiki Knowledge
EchoSight: Advancing Visual-Language Models with Wiki Knowledge
Yibin Yan
Weidi Xie
RALM
35
9
0
17 Jul 2024
InfoNCE: Identifying the Gap Between Theory and Practice
InfoNCE: Identifying the Gap Between Theory and Practice
E. Rusak
Patrik Reizinger
Attila Juhos
Oliver Bringmann
Roland S. Zimmermann
Wieland Brendel
33
5
0
28 Jun 2024
Data curation via joint example selection further accelerates multimodal
  learning
Data curation via joint example selection further accelerates multimodal learning
Talfan Evans
Nikhil Parthasarathy
Hamza Merzic
Olivier J. Hénaff
32
12
0
25 Jun 2024
Contrastive General Graph Matching with Adaptive Augmentation Sampling
Contrastive General Graph Matching with Adaptive Augmentation Sampling
Jianyuan Bo
Yuan Fang
16
1
0
25 Jun 2024
Fine-grained Background Representation for Weakly Supervised Semantic
  Segmentation
Fine-grained Background Representation for Weakly Supervised Semantic Segmentation
Xu Yin
Woobin Im
Dongbo Min
Yuchi Huo
Fei Pan
Sung-Eui Yoon
54
4
0
22 Jun 2024
From Overfitting to Robustness: Quantity, Quality, and Variety Oriented
  Negative Sample Selection in Graph Contrastive Learning
From Overfitting to Robustness: Quantity, Quality, and Variety Oriented Negative Sample Selection in Graph Contrastive Learning
Adnan Ali
Jinlong Li
Huanhuan Chen
Ali Kashif Bashir
43
1
0
21 Jun 2024
Scale-Translation Equivariant Network for Oceanic Internal Solitary Wave
  Localization
Scale-Translation Equivariant Network for Oceanic Internal Solitary Wave Localization
Zhang Wan
Shuo Wang
Xudong Zhang
36
0
0
18 Jun 2024
Analyzing Large Language Models for Classroom Discussion Assessment
Analyzing Large Language Models for Classroom Discussion Assessment
Nhat Tran
Benjamin Pierce
Diane Litman
Richard Correnti
L. Matsumura
27
1
0
12 Jun 2024
Label-aware Hard Negative Sampling Strategies with Momentum Contrastive
  Learning for Implicit Hate Speech Detection
Label-aware Hard Negative Sampling Strategies with Momentum Contrastive Learning for Implicit Hate Speech Detection
Jaehoon Kim
Seungwan Jin
Sohyun Park
Someen Park
Kyungsik Han
44
2
0
12 Jun 2024
Taxes Are All You Need: Integration of Taxonomical Hierarchy
  Relationships into the Contrastive Loss
Taxes Are All You Need: Integration of Taxonomical Hierarchy Relationships into the Contrastive Loss
Kiran Kokilepersaud
Yavuz Yarici
M. Prabhushankar
Ghassan AlRegib
32
1
0
10 Jun 2024
Skill-aware Mutual Information Optimisation for Generalisation in
  Reinforcement Learning
Skill-aware Mutual Information Optimisation for Generalisation in Reinforcement Learning
Xuehui Yu
Mhairi Dunion
Xin Li
Stefano V. Albrecht
25
2
0
07 Jun 2024
Exploring Effects of Hyperdimensional Vectors for Tsetlin Machines
Exploring Effects of Hyperdimensional Vectors for Tsetlin Machines
Vojtech Halenka
A. K. Kadhim
Paul F. A. Clarke
Bimal Bhattarai
Rupsa Saha
Ole-Christoffer Granmo
Lei Jiao
Per-Arne Andersen
45
2
0
04 Jun 2024
Perplexed by Perplexity: Perplexity-Based Data Pruning With Small
  Reference Models
Perplexed by Perplexity: Perplexity-Based Data Pruning With Small Reference Models
Zachary Ankner
Cody Blakeney
Kartik K. Sreenivasan
Max Marion
Matthew L. Leavitt
Mansheej Paul
35
24
0
30 May 2024
Contrasting Multiple Representations with the Multi-Marginal Matching
  Gap
Contrasting Multiple Representations with the Multi-Marginal Matching Gap
Zoe Piran
Michal Klein
James Thornton
Marco Cuturi
38
2
0
29 May 2024
Bridging Mini-Batch and Asymptotic Analysis in Contrastive Learning:
  From InfoNCE to Kernel-Based Losses
Bridging Mini-Batch and Asymptotic Analysis in Contrastive Learning: From InfoNCE to Kernel-Based Losses
Panagiotis Koromilas
Giorgos Bouritsas
Theodoros Giannakopoulos
M. Nicolaou
Yannis Panagakis
32
0
0
28 May 2024
Simple-Sampling and Hard-Mixup with Prototypes to Rebalance Contrastive
  Learning for Text Classification
Simple-Sampling and Hard-Mixup with Prototypes to Rebalance Contrastive Learning for Text Classification
Mengyu Li
Yonghao Liu
Fausto Giunchiglia
Xiaoyue Feng
Renchu Guan
VLM
42
5
0
19 May 2024
Relative Counterfactual Contrastive Learning for Mitigating Pretrained
  Stance Bias in Stance Detection
Relative Counterfactual Contrastive Learning for Mitigating Pretrained Stance Bias in Stance Detection
Jiarui Zhang
Shaojuan Wu
Xiaowang Zhang
Zhiyong Feng
29
0
0
16 May 2024
KET-QA: A Dataset for Knowledge Enhanced Table Question Answering
KET-QA: A Dataset for Knowledge Enhanced Table Question Answering
Mengkang Hu
Haoyu Dong
Ping Luo
Shi Han
Dongmei Zhang
LMTD
RALM
38
2
0
13 May 2024
iSEARLE: Improving Textual Inversion for Zero-Shot Composed Image
  Retrieval
iSEARLE: Improving Textual Inversion for Zero-Shot Composed Image Retrieval
Lorenzo Agnolucci
Alberto Baldrati
Marco Bertini
A. Bimbo
38
10
0
05 May 2024
UniGen: Universal Domain Generalization for Sentiment Classification via
  Zero-shot Dataset Generation
UniGen: Universal Domain Generalization for Sentiment Classification via Zero-shot Dataset Generation
Juhwan Choi
Yeonghwa Kim
Seunguk Yu
Jungmin Yun
Youngbin Kim
39
1
0
02 May 2024
Re-visiting Skip-Gram Negative Sampling: Dimension Regularization for
  More Efficient Dissimilarity Preservation in Graph Embeddings
Re-visiting Skip-Gram Negative Sampling: Dimension Regularization for More Efficient Dissimilarity Preservation in Graph Embeddings
David Liu
Arjun Seshadri
Tina Eliassi-Rad
J. Ugander
22
1
0
30 Apr 2024
Semantic Segmentation Refiner for Ultrasound Applications with Zero-Shot
  Foundation Models
Semantic Segmentation Refiner for Ultrasound Applications with Zero-Shot Foundation Models
Hedda Cohen Indelman
Elay Dahan
Angeles M. Perez-Agosto
Carmit Shiran
D. Shaked
Nati Daniel
MedIm
32
0
0
25 Apr 2024
Understanding Hyperbolic Metric Learning through Hard Negative Sampling
Understanding Hyperbolic Metric Learning through Hard Negative Sampling
Yun Yue
Fangzhou Lin
Guanyi Mou
Ziming Zhang
SSL
30
1
0
23 Apr 2024
A Preference-driven Paradigm for Enhanced Translation with Large
  Language Models
A Preference-driven Paradigm for Enhanced Translation with Large Language Models
D. Zhu
Sony Trenous
Xiaoyu Shen
Dietrich Klakow
Bill Byrne
Eva Hasler
57
3
0
17 Apr 2024
EMC$^2$: Efficient MCMC Negative Sampling for Contrastive Learning with
  Global Convergence
EMC2^22: Efficient MCMC Negative Sampling for Contrastive Learning with Global Convergence
Chung-Yiu Yau
Hoi-To Wai
Parameswaran Raman
Soumajyoti Sarkar
Mingyi Hong
31
1
0
16 Apr 2024
Know Yourself Better: Diverse Discriminative Feature Learning Improves
  Open Set Recognition
Know Yourself Better: Diverse Discriminative Feature Learning Improves Open Set Recognition
Jiawen Xu
21
0
0
16 Apr 2024
Can Contrastive Learning Refine Embeddings
Can Contrastive Learning Refine Embeddings
Lihui Liu
Jinha Kim
Vidit Bansal
SSL
32
1
0
11 Apr 2024
Event-enhanced Retrieval in Real-time Search
Event-enhanced Retrieval in Real-time Search
Yanan Zhang
Xiaoling Bai
Tianhua Zhou
29
1
0
09 Apr 2024
High-Discriminative Attribute Feature Learning for Generalized Zero-Shot
  Learning
High-Discriminative Attribute Feature Learning for Generalized Zero-Shot Learning
Yu Lei
Guoshuai Sheng
Fangfang Li
Quanxue Gao
Cheng Deng
Qin Li
VLM
23
1
0
07 Apr 2024
A Clinical-oriented Multi-level Contrastive Learning Method for Disease
  Diagnosis in Low-quality Medical Images
A Clinical-oriented Multi-level Contrastive Learning Method for Disease Diagnosis in Low-quality Medical Images
Qingshan Hou
Shuai Cheng
Peng Cao
Jinzhu Yang
Xiaoli Liu
Osmar R. Zaiane
Yih-Chung Tham
25
1
0
07 Apr 2024
MedCLIP-SAM: Bridging Text and Image Towards Universal Medical Image
  Segmentation
MedCLIP-SAM: Bridging Text and Image Towards Universal Medical Image Segmentation
Taha Koleilat
Hojat Asgariandehkordi
H. Rivaz
Yiming Xiao
VLM
MedIm
36
9
0
29 Mar 2024
The Bad Batches: Enhancing Self-Supervised Learning in Image
  Classification Through Representative Batch Curation
The Bad Batches: Enhancing Self-Supervised Learning in Image Classification Through Representative Batch Curation
Ozgu Goksu
Nicolas Pugeault
SSL
29
0
0
28 Mar 2024
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