ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2010.04592
  4. Cited By
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
Negative Metric Learning for Graphs
Negative Metric Learning for Graphs
Yiyang Zhao
Chengpei Wu
Lilin Zhang
Ning Yang
14
0
0
15 May 2025
Image Classification Using a Diffusion Model as a Pre-Training Model
Image Classification Using a Diffusion Model as a Pre-Training Model
Kosuke Ukita
Ye Xiaolong
Tsuyoshi Okita
DiffM
MedIm
VLM
31
0
0
11 May 2025
Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining
Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining
Lu Dong
H. Zhang
Hongjie Zhang
Y. Huang
Z. Ling
Yu Qiao
Limin Wang
Y. Wang
AI4TS
26
0
0
10 May 2025
ProDisc-VAD: An Efficient System for Weakly-Supervised Anomaly Detection in Video Surveillance Applications
ProDisc-VAD: An Efficient System for Weakly-Supervised Anomaly Detection in Video Surveillance Applications
Tao Zhu
Qi Yu
Xinru Dong
Shiyu Li
Yue Liu
Jinlong Jiang
Lei Shu
22
0
0
04 May 2025
Semantic-Aware Contrastive Fine-Tuning: Boosting Multimodal Malware Classification with Discriminative Embeddings
Semantic-Aware Contrastive Fine-Tuning: Boosting Multimodal Malware Classification with Discriminative Embeddings
Ivan Montoya Sanchez
Shaswata Mitra
Aritran Piplai
Sudip Mittal
44
0
0
25 Apr 2025
Augmented Relevance Datasets with Fine-Tuned Small LLMs
Augmented Relevance Datasets with Fine-Tuned Small LLMs
Quentin Fitte-Rey
Matyas Amrouche
Romain Deveaud
34
0
0
14 Apr 2025
MInCo: Mitigating Information Conflicts in Distracted Visual Model-based Reinforcement Learning
MInCo: Mitigating Information Conflicts in Distracted Visual Model-based Reinforcement Learning
Shiguang Sun
Hanbo Zhang
Zeyang Liu
Xinrui Yang
Lipeng Wan
Bing Yan
Xingyu Chen
Xuguang Lan
32
0
0
05 Apr 2025
Utilization of Neighbor Information for Image Classification with Different Levels of Supervision
Utilization of Neighbor Information for Image Classification with Different Levels of Supervision
Gihan Jayatilaka
Abhinav Shrivastava
M. Gwilliam
61
0
0
18 Mar 2025
Dynamic Relation Inference via Verb Embeddings
Dynamic Relation Inference via Verb Embeddings
Omri Suissa
Muhiim Ali
Ariana Azarbal
Hui Shen
Shekhar Pradhan
41
0
0
17 Mar 2025
Variational Bayesian Personalized Ranking
Bin Liu
Xiaohong Liu
Q. Luo
Ziqiao Shang
Jielei Chu
Lin Ma
Zhaoyu Li
Fei Teng
Guangtao Zhai
Tianrui Li
50
0
0
14 Mar 2025
RankPO: Preference Optimization for Job-Talent Matching
Y. Zhang
M. Wang
Yu Wang
Xiaohui Wang
46
0
0
13 Mar 2025
Domain Adaptation for Japanese Sentence Embeddings with Contrastive Learning based on Synthetic Sentence Generation
Zihao Chen
H. Handa
Miho Ohsaki
Kimiaki Shirahama
57
0
0
12 Mar 2025
From Motion Signals to Insights: A Unified Framework for Student Behavior Analysis and Feedback in Physical Education Classes
Xian Gao
Jiacheng Ruan
Jingsheng Gao
Mingye Xie
Zongyun Zhang
Ting Liu
Yuzhuo Fu
41
0
0
09 Mar 2025
MultiCo3D: Multi-Label Voxel Contrast for One-Shot Incremental Segmentation of 3D Neuroimages
Hao Xu
Tengfei Xue
Dongnan Liu
Yuqian Chen
Fan Zhang
C. Westin
Ron Kikinis
L. O’Donnell
Weidong Cai
41
0
0
09 Mar 2025
Narrating the Video: Boosting Text-Video Retrieval via Comprehensive Utilization of Frame-Level Captions
Narrating the Video: Boosting Text-Video Retrieval via Comprehensive Utilization of Frame-Level Captions
Chan hur
Jeong-hun Hong
Dong-hun Lee
Dabin Kang
Semin Myeong
Sang-hyo Park
Hyeyoung Park
58
0
0
07 Mar 2025
Catheter Detection and Segmentation in X-ray Images via Multi-task Learning
Lin Xi
Yingliang Ma
Ethan Koland
Sandra Howell
Aldo Rinaldi
Kawal S. Rhode
64
0
0
04 Mar 2025
SuperRAG: Beyond RAG with Layout-Aware Graph Modeling
Jeff Yang
Duy-Khanh Vu
Minh-Tien Nguyen
Xuan-Quang Nguyen
Linh Nguyen
H. Le
3DV
68
0
0
28 Feb 2025
Your contrastive learning problem is secretly a distribution alignment problem
Your contrastive learning problem is secretly a distribution alignment problem
Zihao Chen
Chi-Heng Lin
Ran Liu
Jingyun Xiao
Eva L. Dyer
65
1
0
27 Feb 2025
Incremental Learning with Repetition via Pseudo-Feature Projection
Incremental Learning with Repetition via Pseudo-Feature Projection
Benedikt Tscheschner
Eduardo Veas
Marc Masana
CLL
39
0
0
27 Feb 2025
ELIP: Enhanced Visual-Language Foundation Models for Image Retrieval
ELIP: Enhanced Visual-Language Foundation Models for Image Retrieval
Guanqi Zhan
Yuanpei Liu
Kai Han
Weidi Xie
Andrew Zisserman
VLM
147
0
0
21 Feb 2025
NExtLong: Toward Effective Long-Context Training without Long Documents
NExtLong: Toward Effective Long-Context Training without Long Documents
Chaochen Gao
Xing Wu
Zijia Lin
Debing Zhang
Songlin Hu
SyDa
66
1
0
22 Jan 2025
Understanding Difficult-to-learn Examples in Contrastive Learning: A Theoretical Framework for Spectral Contrastive Learning
Yi-Ge Zhang
Jingyi Cui
Qiran Li
Yisen Wang
SSL
41
0
0
03 Jan 2025
GME: Improving Universal Multimodal Retrieval by Multimodal LLMs
GME: Improving Universal Multimodal Retrieval by Multimodal LLMs
Xin Zhang
Yanzhao Zhang
Wen Xie
Mingxin Li
Ziqi Dai
Dingkun Long
Pengjun Xie
Meishan Zhang
Wenjie Li
M. Zhang
116
7
0
22 Dec 2024
MST-R: Multi-Stage Tuning for Retrieval Systems and Metric Evaluation
MST-R: Multi-Stage Tuning for Retrieval Systems and Metric Evaluation
Yash Malviya
Karan Dhingra
Maneesh Singh
72
0
0
13 Dec 2024
Harnessing Preference Optimisation in Protein LMs for Hit Maturation in
  Cell Therapy
Harnessing Preference Optimisation in Protein LMs for Hit Maturation in Cell Therapy
Katarzyna Janocha
Annabel Ling
Alice Godson
Yulia Lampi
Simon Bornschein
Nils Y. Hammerla
67
2
0
02 Dec 2024
Rethinking Generalizability and Discriminability of Self-Supervised
  Learning from Evolutionary Game Theory Perspective
Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective
Jiangmeng Li
Zehua Zang
Qirui Ji
Chuxiong Sun
Wenwen Qiang
Junge Zhang
Changwen Zheng
Fuchun Sun
Hui Xiong
SSL
64
0
0
30 Nov 2024
Utilizing the Mean Teacher with Supcontrast Loss for Wafer Pattern
  Recognition
Utilizing the Mean Teacher with Supcontrast Loss for Wafer Pattern Recognition
Qiyu Wei
Xun Xu
Zeng Zeng
Xulei Yang
60
0
0
27 Nov 2024
From Exploration to Revelation: Detecting Dark Patterns in Mobile Apps
From Exploration to Revelation: Detecting Dark Patterns in Mobile Apps
Jieshan Chen
Zhen Wang
Jiamou Sun
Wenbo Zou
Zhenchang Xing
Qinghua Lu
Qing Huang
Xiwei Xu
69
1
0
27 Nov 2024
Med-PerSAM: One-Shot Visual Prompt Tuning for Personalized Segment
  Anything Model in Medical Domain
Med-PerSAM: One-Shot Visual Prompt Tuning for Personalized Segment Anything Model in Medical Domain
Hangyul Yoon
Doohyuk Jang
JungEun Kim
Eunho Yang
VLM
MedIm
70
1
0
25 Nov 2024
Navigating the Effect of Parametrization for Dimensionality Reduction
Navigating the Effect of Parametrization for Dimensionality Reduction
Haiyang Huang
Yingfan Wang
Cynthia Rudin
79
1
0
24 Nov 2024
TripletCLIP: Improving Compositional Reasoning of CLIP via Synthetic
  Vision-Language Negatives
TripletCLIP: Improving Compositional Reasoning of CLIP via Synthetic Vision-Language Negatives
Maitreya Patel
Abhiram Kusumba
Sheng Cheng
Changhoon Kim
Tejas Gokhale
Chitta Baral
Yezhou Yang
CoGe
CLIP
50
7
0
04 Nov 2024
HEX: Hierarchical Emergence Exploitation in Self-Supervised Algorithms
HEX: Hierarchical Emergence Exploitation in Self-Supervised Algorithms
Kiran Kokilepersaud
Seulgi Kim
M. Prabhushankar
Ghassan AlRegib
31
0
0
30 Oct 2024
ISImed: A Framework for Self-Supervised Learning using Intrinsic Spatial
  Information in Medical Images
ISImed: A Framework for Self-Supervised Learning using Intrinsic Spatial Information in Medical Images
Nabil Jabareen
Dongsheng Yuan
Sören Lukassen
SSL
14
0
0
22 Oct 2024
A Survey of Conversational Search
A Survey of Conversational Search
Fengran Mo
Kelong Mao
Ziliang Zhao
Hongjin Qian
Haonan Chen
Yiruo Cheng
X. Li
Y. X. Zhu
Zhicheng Dou
Jian-Yun Nie
KELM
32
3
0
21 Oct 2024
GDeR: Safeguarding Efficiency, Balancing, and Robustness via
  Prototypical Graph Pruning
GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning
Guibin Zhang
Haonan Dong
Yuchen Zhang
Zhixun Li
Dingshuo Chen
Kai Wang
Tianlong Chen
Yuxuan Liang
Dawei Cheng
Kun Wang
32
3
0
17 Oct 2024
Beyond Coarse-Grained Matching in Video-Text Retrieval
Beyond Coarse-Grained Matching in Video-Text Retrieval
Aozhu Chen
Hazel Doughty
Xirong Li
Cees G. M. Snoek
32
0
0
16 Oct 2024
Enhance Graph Alignment for Large Language Models
Enhance Graph Alignment for Large Language Models
Haitong Luo
Xuying Meng
Suhang Wang
Tianxiang Zhao
Fali Wang
Hanyun Cao
Yujun Zhang
131
1
0
15 Oct 2024
Toward a Well-Calibrated Discrimination via Survival Outcome-Aware
  Contrastive Learning
Toward a Well-Calibrated Discrimination via Survival Outcome-Aware Contrastive Learning
Dongjoon Lee
Hyeryn Park
Changhee Lee
23
0
0
15 Oct 2024
LVD-2M: A Long-take Video Dataset with Temporally Dense Captions
LVD-2M: A Long-take Video Dataset with Temporally Dense Captions
Tianwei Xiong
Yuqing Wang
Daquan Zhou
Zhijie Lin
Jiashi Feng
Xihui Liu
VGen
28
7
0
14 Oct 2024
Affinity-Graph-Guided Contractive Learning for Pretext-Free Medical
  Image Segmentation with Minimal Annotation
Affinity-Graph-Guided Contractive Learning for Pretext-Free Medical Image Segmentation with Minimal Annotation
Zehua Cheng
Di Yuan
Thomas Lukasiewicz
26
0
0
14 Oct 2024
StatioCL: Contrastive Learning for Time Series via Non-Stationary and
  Temporal Contrast
StatioCL: Contrastive Learning for Time Series via Non-Stationary and Temporal Contrast
Yu Wu
Ting Dang
Dimitris Spathis
Hong Jia
Cecilia Mascolo
AI4TS
23
1
0
14 Oct 2024
LaB-CL: Localized and Balanced Contrastive Learning for improving
  parking slot detection
LaB-CL: Localized and Balanced Contrastive Learning for improving parking slot detection
U Jin Jeong
Sumin Roh
Il Yong Chun
19
0
0
10 Oct 2024
Evolutionary Contrastive Distillation for Language Model Alignment
Evolutionary Contrastive Distillation for Language Model Alignment
Julian Katz-Samuels
Zheng Li
Hyokun Yun
Priyanka Nigam
Yi Xu
Vaclav Petricek
Bing Yin
Trishul M. Chilimbi
ALM
SyDa
26
0
0
10 Oct 2024
BEVLoc: Cross-View Localization and Matching via Birds-Eye-View
  Synthesis
BEVLoc: Cross-View Localization and Matching via Birds-Eye-View Synthesis
Christopher Klammer
Michael Kaess
25
0
0
08 Oct 2024
Contrastive Learning to Improve Retrieval for Real-world Fact Checking
Contrastive Learning to Improve Retrieval for Real-world Fact Checking
Aniruddh Sriram
Fangyuan Xu
Eunsol Choi
Greg Durrett
19
1
0
07 Oct 2024
Contextual Document Embeddings
Contextual Document Embeddings
John X. Morris
Alexander M. Rush
19
7
0
03 Oct 2024
Dataset Distillation via Knowledge Distillation: Towards Efficient Self-Supervised Pre-Training of Deep Networks
Dataset Distillation via Knowledge Distillation: Towards Efficient Self-Supervised Pre-Training of Deep Networks
S. Joshi
Jiayi Ni
Baharan Mirzasoleiman
DD
67
2
0
03 Oct 2024
MedCLIP-SAMv2: Towards Universal Text-Driven Medical Image Segmentation
MedCLIP-SAMv2: Towards Universal Text-Driven Medical Image Segmentation
Taha Koleilat
Hojat Asgariandehkordi
H. Rivaz
Yiming Xiao
MedIm
VLM
41
6
0
28 Sep 2024
A Survey of Spatio-Temporal EEG data Analysis: from Models to
  Applications
A Survey of Spatio-Temporal EEG data Analysis: from Models to Applications
Pengfei Wang
Huanran Zheng
Silong Dai
Yiqiao Wang
Xiaotian Gu
Yuanbin Wu
Xiaoling Wang
SyDa
AI4TS
45
3
0
26 Sep 2024
Reducing and Exploiting Data Augmentation Noise through Meta Reweighting
  Contrastive Learning for Text Classification
Reducing and Exploiting Data Augmentation Noise through Meta Reweighting Contrastive Learning for Text Classification
Guanyi Mou
Yichuan Li
Kyumin Lee
26
3
0
26 Sep 2024
123456789
Next