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Conditional Contrastive Learning with Kernel

Conditional Contrastive Learning with Kernel

11 February 2022
Yao-Hung Hubert Tsai
Tianqi Li
Martin Q. Ma
Han Zhao
Kun Zhang
Louis-Philippe Morency
Ruslan Salakhutdinov
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Papers citing "Conditional Contrastive Learning with Kernel"

18 / 18 papers shown
Title
CIBR: Cross-modal Information Bottleneck Regularization for Robust CLIP Generalization
CIBR: Cross-modal Information Bottleneck Regularization for Robust CLIP Generalization
Yingrui Ji
Xi Xiao
Gaofei Chen
Hao Xu
Chenrui Ma
Lijing Zhu
Aokun Liang
Jiansheng Chen
VLM
48
0
0
31 Mar 2025
Information Subtraction: Learning Representations for Conditional Entropy
Keng Hou Leong
Yuxuan Xiu
Wai Kin
Chan
36
0
0
02 Jan 2025
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
27
0
0
28 May 2024
Removing Biases from Molecular Representations via Information
  Maximization
Removing Biases from Molecular Representations via Information Maximization
Chenyu Wang
Sharut Gupta
Caroline Uhler
Tommi Jaakkola
15
4
0
01 Dec 2023
Making Self-supervised Learning Robust to Spurious Correlation via
  Learning-speed Aware Sampling
Making Self-supervised Learning Robust to Spurious Correlation via Learning-speed Aware Sampling
Weicheng Zhu
Sheng Liu
C. Fernandez‐Granda
N. Razavian
38
1
0
27 Nov 2023
Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda
  for Developing Practical Guidelines and Tools
Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools
Maximilian Schambach
Rakshit Naidu
Rayid Ghani
Kit T. Rodolfa
Daniel E. Ho
Hoda Heidari
FaML
30
13
0
29 Sep 2023
Decoupled conditional contrastive learning with variable metadata for
  prostate lesion detection
Decoupled conditional contrastive learning with variable metadata for prostate lesion detection
Camille Ruppli
Pietro Gori
R. Ardon
Isabelle Bloch
MedIm
10
1
0
18 Aug 2023
Factorized Contrastive Learning: Going Beyond Multi-view Redundancy
Factorized Contrastive Learning: Going Beyond Multi-view Redundancy
Paul Pu Liang
Zihao Deng
Martin Q. Ma
James Y. Zou
Louis-Philippe Morency
Ruslan Salakhutdinov
SSL
16
49
0
08 Jun 2023
Towards Understanding the Mechanism of Contrastive Learning via
  Similarity Structure: A Theoretical Analysis
Towards Understanding the Mechanism of Contrastive Learning via Similarity Structure: A Theoretical Analysis
Hiroki Waida
Yuichiro Wada
Léo Andéol
Takumi Nakagawa
Yuhui Zhang
Takafumi Kanamori
SSL
19
5
0
01 Apr 2023
Pushing the Accuracy-Group Robustness Frontier with Introspective
  Self-play
Pushing the Accuracy-Group Robustness Frontier with Introspective Self-play
J. Liu
Krishnamurthy Dvijotham
Jihyeon Janel Lee
Quan Yuan
Martin Strobel
Balaji Lakshminarayanan
Deepak Ramachandran
18
5
0
11 Feb 2023
Homomorphic Self-Supervised Learning
Homomorphic Self-Supervised Learning
Thomas Anderson Keller
Xavier Suau
Luca Zappella
SSL
16
2
0
15 Nov 2022
Contrastive learning for regression in multi-site brain age prediction
Contrastive learning for regression in multi-site brain age prediction
C. Barbano
Benoit Dufumier
Edouard Duchesnay
Marco Grangetto
Pietro Gori
8
14
0
14 Nov 2022
Integrating Prior Knowledge in Contrastive Learning with Kernel
Integrating Prior Knowledge in Contrastive Learning with Kernel
Benoit Dufumier
C. Barbano
Robin Louiset
Edouard Duchesnay
Pietro Gori
SSL
13
8
0
03 Jun 2022
Conditional Supervised Contrastive Learning for Fair Text Classification
Conditional Supervised Contrastive Learning for Fair Text Classification
Jianfeng Chi
Will Shand
Yaodong Yu
Kai-Wei Chang
Han Zhao
Yuan Tian
FaML
41
14
0
23 May 2022
Contrastive Conditional Neural Processes
Contrastive Conditional Neural Processes
Zesheng Ye
Lina Yao
UQCV
12
12
0
08 Mar 2022
Conditional Contrastive Learning for Improving Fairness in
  Self-Supervised Learning
Conditional Contrastive Learning for Improving Fairness in Self-Supervised Learning
Martin Q. Ma
Yao-Hung Hubert Tsai
Paul Pu Liang
Han Zhao
Kun Zhang
Ruslan Salakhutdinov
Louis-Philippe Morency
SSL
19
15
0
05 Jun 2021
Contrastive Attraction and Contrastive Repulsion for Representation
  Learning
Contrastive Attraction and Contrastive Repulsion for Representation Learning
Huangjie Zheng
Xu Chen
Jiangchao Yao
Hongxia Yang
Chunyuan Li
Ya-Qin Zhang
Hao Zhang
Ivor Tsang
Jingren Zhou
Mingyuan Zhou
SSL
18
12
0
08 May 2021
A Mutual Information Maximization Perspective of Language Representation
  Learning
A Mutual Information Maximization Perspective of Language Representation Learning
Lingpeng Kong
Cyprien de Masson dÁutume
Wang Ling
Lei Yu
Zihang Dai
Dani Yogatama
SSL
212
165
0
18 Oct 2019
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