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Contrastive Factor Analysis
v1v2 (latest)

Contrastive Factor Analysis

31 July 2024
Zhibin Duan
Tiansheng Wen
Yifei Wang
Chen Zhu
Bo Chen
Mingyuan Zhou
ArXiv (abs)PDFHTML

Papers citing "Contrastive Factor Analysis"

17 / 17 papers shown
Title
Beyond Matryoshka: Revisiting Sparse Coding for Adaptive Representation
Beyond Matryoshka: Revisiting Sparse Coding for Adaptive Representation
Tiansheng Wen
Yifei Wang
Zequn Zeng
Zhong Peng
Yudi Su
Xinyang Liu
Bo Chen
Hongwei Liu
Stefanie Jegelka
Chenyu You
CLL
209
4
0
03 Mar 2025
Probabilistic Contrastive Learning Recovers the Correct Aleatoric
  Uncertainty of Ambiguous Inputs
Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguous Inputs
Michael Kirchhof
Enkelejda Kasneci
Seong Joon Oh
UQCV
479
25
0
06 Feb 2023
InfoNCE is variational inference in a recognition parameterised model
InfoNCE is variational inference in a recognition parameterised model
Laurence Aitchison
Stoil Ganev
BDL
61
10
0
06 Jul 2021
Provable Guarantees for Self-Supervised Deep Learning with Spectral
  Contrastive Loss
Provable Guarantees for Self-Supervised Deep Learning with Spectral Contrastive Loss
Jeff Z. HaoChen
Colin Wei
Adrien Gaidon
Tengyu Ma
SSL
77
321
0
08 Jun 2021
SimCSE: Simple Contrastive Learning of Sentence Embeddings
SimCSE: Simple Contrastive Learning of Sentence Embeddings
Tianyu Gao
Xingcheng Yao
Danqi Chen
AILawSSL
276
3,411
0
18 Apr 2021
Probabilistic Embeddings for Cross-Modal Retrieval
Probabilistic Embeddings for Cross-Modal Retrieval
Sanghyuk Chun
Seong Joon Oh
Rafael Sampaio de Rezende
Yannis Kalantidis
Diane Larlus
UQCV
482
210
0
13 Jan 2021
Bayesian Attention Modules
Bayesian Attention Modules
Xinjie Fan
Shujian Zhang
Bo Chen
Mingyuan Zhou
159
61
0
20 Oct 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
375
18,859
0
13 Feb 2020
Learning Robust Global Representations by Penalizing Local Predictive
  Power
Learning Robust Global Representations by Penalizing Local Predictive Power
Haohan Wang
Songwei Ge
Eric Xing
Zachary Chase Lipton
OOD
122
966
0
29 May 2019
Probabilistic Face Embeddings
Probabilistic Face Embeddings
Yichun Shi
Anil K. Jain
CVBM
70
310
0
21 Apr 2019
Unsupervised Embedding Learning via Invariant and Spreading Instance
  Feature
Unsupervised Embedding Learning via Invariant and Spreading Instance Feature
Mang Ye
Xu-Yao Zhang
PongChi Yuen
Shih-Fu Chang
SSL
99
581
0
06 Apr 2019
Benchmarking Neural Network Robustness to Common Corruptions and
  Perturbations
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations
Dan Hendrycks
Thomas G. Dietterich
OODVLM
191
3,452
0
28 Mar 2019
Recent Advances in Autoencoder-Based Representation Learning
Recent Advances in Autoencoder-Based Representation Learning
Michael Tschannen
Olivier Bachem
Mario Lucic
OODSSLDRL
72
446
0
12 Dec 2018
Modeling Uncertainty with Hedged Instance Embedding
Modeling Uncertainty with Hedged Instance Embedding
Seong Joon Oh
Kevin Patrick Murphy
Jiyan Pan
Joseph Roth
Florian Schroff
Andrew C. Gallagher
UQCV
455
70
0
30 Sep 2018
WHAI: Weibull Hybrid Autoencoding Inference for Deep Topic Modeling
WHAI: Weibull Hybrid Autoencoding Inference for Deep Topic Modeling
Hao Zhang
Bo Chen
D. Guo
Mingyuan Zhou
BDL
73
118
0
04 Mar 2018
Representation Learning: A Review and New Perspectives
Representation Learning: A Review and New Perspectives
Yoshua Bengio
Aaron Courville
Pascal Vincent
OODSSL
274
12,456
0
24 Jun 2012
Beta-Negative Binomial Process and Poisson Factor Analysis
Beta-Negative Binomial Process and Poisson Factor Analysis
Mingyuan Zhou
Lauren Hannah
David B. Dunson
Lawrence Carin
99
250
0
15 Dec 2011
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