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Beyond Separability: Analyzing the Linear Transferability of Contrastive
  Representations to Related Subpopulations

Beyond Separability: Analyzing the Linear Transferability of Contrastive Representations to Related Subpopulations

6 April 2022
Jeff Z. HaoChen
Colin Wei
Ananya Kumar
Tengyu Ma
ArXivPDFHTML

Papers citing "Beyond Separability: Analyzing the Linear Transferability of Contrastive Representations to Related Subpopulations"

11 / 11 papers shown
Title
Cross-Entropy Is All You Need To Invert the Data Generating Process
Cross-Entropy Is All You Need To Invert the Data Generating Process
Patrik Reizinger
Alice Bizeul
Attila Juhos
Julia E. Vogt
Randall Balestriero
Wieland Brendel
David Klindt
SSL
OOD
BDL
DRL
102
3
0
29 Oct 2024
Feature contamination: Neural networks learn uncorrelated features and fail to generalize
Feature contamination: Neural networks learn uncorrelated features and fail to generalize
Tianren Zhang
Chujie Zhao
Guanyu Chen
Yizhou Jiang
Feng Chen
OOD
MLT
OODD
71
3
0
05 Jun 2024
Theoretical Analysis of Weak-to-Strong Generalization
Theoretical Analysis of Weak-to-Strong Generalization
Hunter Lang
David Sontag
Aravindan Vijayaraghavan
21
19
0
25 May 2024
Better Representations via Adversarial Training in Pre-Training: A
  Theoretical Perspective
Better Representations via Adversarial Training in Pre-Training: A Theoretical Perspective
Yue Xing
Xiaofeng Lin
Qifan Song
Yi Tian Xu
Belinda Zeng
Guang Cheng
SSL
15
0
0
26 Jan 2024
COSTAR: Improved Temporal Counterfactual Estimation with Self-Supervised
  Learning
COSTAR: Improved Temporal Counterfactual Estimation with Self-Supervised Learning
Chuizheng Meng
Yihe Dong
Sercan Ö. Arik
Yan Liu
Tomas Pfister
CML
AI4TS
21
0
0
01 Nov 2023
ASSET: Robust Backdoor Data Detection Across a Multiplicity of Deep
  Learning Paradigms
ASSET: Robust Backdoor Data Detection Across a Multiplicity of Deep Learning Paradigms
Minzhou Pan
Yi Zeng
Lingjuan Lyu
X. Lin
R. Jia
AAML
24
35
0
22 Feb 2023
Joint Embedding Self-Supervised Learning in the Kernel Regime
Joint Embedding Self-Supervised Learning in the Kernel Regime
B. Kiani
Randall Balestriero
Yubei Chen
S. Lloyd
Yann LeCun
SSL
41
13
0
29 Sep 2022
TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning
TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning
Yixuan Su
Fangyu Liu
Zaiqiao Meng
Tian Lan
Lei Shu
Ehsan Shareghi
Nigel Collier
137
57
0
07 Nov 2021
In-N-Out: Pre-Training and Self-Training using Auxiliary Information for
  Out-of-Distribution Robustness
In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness
Sang Michael Xie
Ananya Kumar
Robbie Jones
Fereshte Khani
Tengyu Ma
Percy Liang
OOD
160
62
0
08 Dec 2020
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
252
3,369
0
09 Mar 2020
Domain Adaptation: Learning Bounds and Algorithms
Domain Adaptation: Learning Bounds and Algorithms
Yishay Mansour
M. Mohri
Afshin Rostamizadeh
179
789
0
19 Feb 2009
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