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Understanding the Behaviour of Contrastive Loss

Understanding the Behaviour of Contrastive Loss

15 December 2020
Feng Wang
Huaping Liu
    SSL
ArXivPDFHTML

Papers citing "Understanding the Behaviour of Contrastive Loss"

50 / 308 papers shown
Title
Mining Fine-Grained Image-Text Alignment for Zero-Shot Captioning via
  Text-Only Training
Mining Fine-Grained Image-Text Alignment for Zero-Shot Captioning via Text-Only Training
Longtian Qiu
Shan Ning
Xuming He
VLM
35
3
0
04 Jan 2024
BSL: Understanding and Improving Softmax Loss for Recommendation
BSL: Understanding and Improving Softmax Loss for Recommendation
Junkang Wu
Jiawei Chen
Jiancan Wu
Wentao Shi
Jizhi Zhang
Xiang Wang
14
5
0
20 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
19
8
0
19 Dec 2023
A Generalizable Deep Learning System for Cardiac MRI
A Generalizable Deep Learning System for Cardiac MRI
R. Shad
C. Zakka
Dhamanpreet Kaur
R. Fong
R. Filice
...
Victor Ferrari
Euan A. Ashley
Michael A. Acker
Curt P. Langlotz
W. Hiesinger
MedIm
46
1
0
01 Dec 2023
Unveiling Vulnerabilities of Contrastive Recommender Systems to
  Poisoning Attacks
Unveiling Vulnerabilities of Contrastive Recommender Systems to Poisoning Attacks
Zongwei Wang
Junliang Yu
Min Gao
Hongzhi Yin
Bin Cui
S. Sadiq
AAML
26
7
0
30 Nov 2023
ML-LMCL: Mutual Learning and Large-Margin Contrastive Learning for
  Improving ASR Robustness in Spoken Language Understanding
ML-LMCL: Mutual Learning and Large-Margin Contrastive Learning for Improving ASR Robustness in Spoken Language Understanding
Xuxin Cheng
Bowen Cao
Qichen Ye
Zhihong Zhu
Hongxiang Li
Yuexian Zou
24
25
0
19 Nov 2023
Contrastive Transformer Learning with Proximity Data Generation for
  Text-Based Person Search
Contrastive Transformer Learning with Proximity Data Generation for Text-Based Person Search
Hefeng Wu
Weifeng Chen
Zhibin Liu
Tianshui Chen
Zhiguang Chen
Liang Lin
28
11
0
15 Nov 2023
Test-Time Training for Semantic Segmentation with Output Contrastive
  Loss
Test-Time Training for Semantic Segmentation with Output Contrastive Loss
Yunlong Zhang
Yuxuan Sun
Sunyi Zheng
Zhongyi Shui
Chenglu Zhu
Lin Yang
VLM
26
3
0
14 Nov 2023
FOCAL: Contrastive Learning for Multimodal Time-Series Sensing Signals
  in Factorized Orthogonal Latent Space
FOCAL: Contrastive Learning for Multimodal Time-Series Sensing Signals in Factorized Orthogonal Latent Space
Shengzhong Liu
Tomoyoshi Kimura
Dongxin Liu
Ruijie Wang
Jinyang Li
Suhas Diggavi
Mani B. Srivastava
Tarek F. Abdelzaher
AI4TS
46
24
0
30 Oct 2023
Jina Embeddings 2: 8192-Token General-Purpose Text Embeddings for Long
  Documents
Jina Embeddings 2: 8192-Token General-Purpose Text Embeddings for Long Documents
Michael Gunther
Jackmin Ong
Isabelle Mohr
Alaeddine Abdessalem
Tanguy Abel
...
Saba Sturua
Bo Wang
Maximilian Werk
Nan Wang
Han Xiao
RALM
27
58
0
30 Oct 2023
EMMA-X: An EM-like Multilingual Pre-training Algorithm for Cross-lingual
  Representation Learning
EMMA-X: An EM-like Multilingual Pre-training Algorithm for Cross-lingual Representation Learning
Ping Guo
Xiangpeng Wei
Yue Hu
Baosong Yang
Dayiheng Liu
Fei Huang
Jun Xie
21
2
0
26 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
Nightshade: Prompt-Specific Poisoning Attacks on Text-to-Image
  Generative Models
Nightshade: Prompt-Specific Poisoning Attacks on Text-to-Image Generative Models
Shawn Shan
Wenxin Ding
Josephine Passananti
Stanley Wu
Haitao Zheng
Ben Y. Zhao
SILM
DiffM
29
44
0
20 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
Revisiting Logistic-softmax Likelihood in Bayesian Meta-Learning for
  Few-Shot Classification
Revisiting Logistic-softmax Likelihood in Bayesian Meta-Learning for Few-Shot Classification
Tianjun Ke
Haoqun Cao
Zenan Ling
Feng Zhou
UQCV
19
7
0
16 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
Hyp-UML: Hyperbolic Image Retrieval with Uncertainty-aware Metric
  Learning
Hyp-UML: Hyperbolic Image Retrieval with Uncertainty-aware Metric Learning
Shiyang Yan
Zongxuan Liu
Lin Xu
27
0
0
12 Oct 2023
Incorporating Domain Knowledge Graph into Multimodal Movie Genre
  Classification with Self-Supervised Attention and Contrastive Learning
Incorporating Domain Knowledge Graph into Multimodal Movie Genre Classification with Self-Supervised Attention and Contrastive Learning
Jiaqi Li
Guilin Qi
Chuanyi Zhang
Yongrui Chen
Yiming Tan
Chenlong Xia
Ye Tian
28
2
0
12 Oct 2023
Explainable Image Similarity: Integrating Siamese Networks and Grad-CAM
Explainable Image Similarity: Integrating Siamese Networks and Grad-CAM
I. Livieris
Emmanuel G. Pintelas
Niki Kiriakidou
P. Pintelas
FAtt
23
15
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
Adaptive Multi-head Contrastive Learning
Adaptive Multi-head Contrastive Learning
Lei Wang
Piotr Koniusz
Tom Gedeon
Liang Zheng
30
4
0
09 Oct 2023
Compositional Semantics for Open Vocabulary Spatio-semantic
  Representations
Compositional Semantics for Open Vocabulary Spatio-semantic Representations
Robin Karlsson
Francisco Lepe-Salazar
K. Takeda
VLM
47
1
0
08 Oct 2023
Understanding Transferable Representation Learning and Zero-shot
  Transfer in CLIP
Understanding Transferable Representation Learning and Zero-shot Transfer in CLIP
Zixiang Chen
Yihe Deng
Yuanzhi Li
Quanquan Gu
VLM
23
10
0
02 Oct 2023
Faithful Explanations of Black-box NLP Models Using LLM-generated
  Counterfactuals
Faithful Explanations of Black-box NLP Models Using LLM-generated Counterfactuals
Y. Gat
Nitay Calderon
Amir Feder
Alexander Chapanin
Amit Sharma
Roi Reichart
35
28
0
01 Oct 2023
HPCR: Holistic Proxy-based Contrastive Replay for Online Continual Learning
HPCR: Holistic Proxy-based Contrastive Replay for Online Continual Learning
Huiwei Lin
Shanshan Feng
Baoquan Zhang
Xutao Li
Y. Ong
CLL
37
0
0
26 Sep 2023
Contrastive Continual Multi-view Clustering with Filtered Structural
  Fusion
Contrastive Continual Multi-view Clustering with Filtered Structural Fusion
Xinhang Wan
Jiyuan Liu
Hao Yu
Ao Li
Xinwang Liu
Ke Liang
Zhibin Dong
En Zhu
CLL
11
2
0
26 Sep 2023
DimCL: Dimensional Contrastive Learning For Improving Self-Supervised
  Learning
DimCL: Dimensional Contrastive Learning For Improving Self-Supervised Learning
Thanh Nguyen
T. Pham
Chaoning Zhang
T. Luu
Thang Vu
Chang-Dong Yoo
27
9
0
21 Sep 2023
Specializing Small Language Models towards Complex Style Transfer via
  Latent Attribute Pre-Training
Specializing Small Language Models towards Complex Style Transfer via Latent Attribute Pre-Training
Ruiqi Xu
Y. Huang
Xin Chen
Lin Zhang
19
3
0
19 Sep 2023
KFC: Kinship Verification with Fair Contrastive Loss and Multi-Task
  Learning
KFC: Kinship Verification with Fair Contrastive Loss and Multi-Task Learning
Jia Luo Peng
Keng Wei Chang
Shang-Hong Lai
21
2
0
19 Sep 2023
Contrastive Learning for Enhancing Robust Scene Transfer in Vision-based
  Agile Flight
Contrastive Learning for Enhancing Robust Scene Transfer in Vision-based Agile Flight
Jiaxu Xing
L. Bauersfeld
Yunlong Song
Chunwei Xing
Davide Scaramuzza
20
12
0
18 Sep 2023
An Empirical Analysis for Zero-Shot Multi-Label Classification on
  COVID-19 CT Scans and Uncurated Reports
An Empirical Analysis for Zero-Shot Multi-Label Classification on COVID-19 CT Scans and Uncurated Reports
Ethan Dack
Lorenzo Brigato
Matthew McMurray
Matthias Fontanellaz
Thomas Frauenfelder
...
Thomas Geiser
M. Funke-Chambour
Andreas Christe
L. Ebner
S. Mougiakakou
17
2
0
04 Sep 2023
Towards Contrastive Learning in Music Video Domain
Towards Contrastive Learning in Music Video Domain
Karel Veldkamp
Mariya Hendriksen
Zoltán Szlávik
Alexander Keijser
SSL
18
2
0
01 Sep 2023
Towards a Rigorous Analysis of Mutual Information in Contrastive
  Learning
Towards a Rigorous Analysis of Mutual Information in Contrastive Learning
Kyungeun Lee
Jaeill Kim
Suhyun Kang
Wonjong Rhee
SSL
30
2
0
30 Aug 2023
DomainAdaptor: A Novel Approach to Test-time Adaptation
DomainAdaptor: A Novel Approach to Test-time Adaptation
Jian Zhang
Lei Qi
Yinghuan Shi
Yang Gao
OOD
TTA
11
16
0
20 Aug 2023
Diffusion Models for Image Restoration and Enhancement -- A
  Comprehensive Survey
Diffusion Models for Image Restoration and Enhancement -- A Comprehensive Survey
Xin Li
Yulin Ren
Xin Jin
Cuiling Lan
X. Wang
Wenjun Zeng
Xinchao Wang
Zhibo Chen
41
46
0
18 Aug 2023
Contrastive Bi-Projector for Unsupervised Domain Adaption
Linhua Huang
Hung-Hsu Tsai
10
0
0
14 Aug 2023
Toward a Better Understanding of Loss Functions for Collaborative
  Filtering
Toward a Better Understanding of Loss Functions for Collaborative Filtering
Seongmin Park
Mincheol Yoon
Jae-woong Lee
Hogun Park
Jongwuk Lee
26
14
0
11 Aug 2023
Dynamically Scaled Temperature in Self-Supervised Contrastive Learning
Dynamically Scaled Temperature in Self-Supervised Contrastive Learning
Siladittya Manna
Soumitri Chattopadhyay
Rakesh Dey
Saumik Bhattacharya
Umapada Pal
30
1
0
02 Aug 2023
Deep Generative Models, Synthetic Tabular Data, and Differential
  Privacy: An Overview and Synthesis
Deep Generative Models, Synthetic Tabular Data, and Differential Privacy: An Overview and Synthesis
Conor Hassan
Roberto Salomone
Kerrie Mengersen
18
6
0
28 Jul 2023
AlignDet: Aligning Pre-training and Fine-tuning in Object Detection
AlignDet: Aligning Pre-training and Fine-tuning in Object Detection
Ming Li
Jie Wu
Xionghui Wang
Chen Chen
Jie Qin
Xu Xiao
Rui Wang
Min Zheng
Xin Pan
ObjD
VLM
22
18
0
20 Jul 2023
Distilling Large Vision-Language Model with Out-of-Distribution
  Generalizability
Distilling Large Vision-Language Model with Out-of-Distribution Generalizability
Xuanlin Li
Yunhao Fang
Minghua Liu
Z. Ling
Z. Tu
Haoran Su
VLM
31
23
0
06 Jul 2023
Automatic MILP Solver Configuration By Learning Problem Similarities
Automatic MILP Solver Configuration By Learning Problem Similarities
Abdelrahman I. Hosny
Sherief Reda
32
4
0
02 Jul 2023
Subclass-balancing Contrastive Learning for Long-tailed Recognition
Subclass-balancing Contrastive Learning for Long-tailed Recognition
Chengkai Hou
Jieyu Zhang
Hong Wang
Tianyi Zhou
21
21
0
28 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
Hierarchical Matching and Reasoning for Multi-Query Image Retrieval
Hierarchical Matching and Reasoning for Multi-Query Image Retrieval
Zhong Ji
Zhihao Li
Yan Zhang
Haoran Wang
Yanwei Pang
Xuelong Li
24
11
0
26 Jun 2023
Scribble-supervised Cell Segmentation Using Multiscale Contrastive
  Regularization
Scribble-supervised Cell Segmentation Using Multiscale Contrastive Regularization
Hyunwoo Oh
Kanggeun Lee
Won-Ki Jeong
34
8
0
25 Jun 2023
Understanding Contrastive Learning Through the Lens of Margins
Understanding Contrastive Learning Through the Lens of Margins
Daniel Rho
Taesoo Kim
Sooill Park
Jaehyun Park
Jaehan Park
SSL
27
2
0
20 Jun 2023
FutureTOD: Teaching Future Knowledge to Pre-trained Language Model for
  Task-Oriented Dialogue
FutureTOD: Teaching Future Knowledge to Pre-trained Language Model for Task-Oriented Dialogue
Weihao Zeng
Keqing He
Yejie Wang
Chen Zeng
Jingang Wang
Yunsen Xian
Weiran Xu
24
1
0
17 Jun 2023
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress,
  and Prospects
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects
Kexin Zhang
Qingsong Wen
Chaoli Zhang
Rongyao Cai
Ming Jin
...
James Y. Zhang
Y. Liang
Guansong Pang
Dongjin Song
Shirui Pan
AI4TS
114
102
0
16 Jun 2023
M3PT: A Multi-Modal Model for POI Tagging
M3PT: A Multi-Modal Model for POI Tagging
Jingsong Yang
Guanzhou Han
Deqing Yang
Jingping Liu
Yanghua Xiao
Xiang Xu
Baohua Wu
Shenghua Ni
48
3
0
16 Jun 2023
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