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Learning useful representations for shifting tasks and distributions

Learning useful representations for shifting tasks and distributions

14 December 2022
Jianyu Zhang
Léon Bottou
    OOD
ArXivPDFHTML

Papers citing "Learning useful representations for shifting tasks and distributions"

12 / 12 papers shown
Title
Is Multiple Object Tracking a Matter of Specialization?
Is Multiple Object Tracking a Matter of Specialization?
G. Mancusi
Mattia Bernardi
Aniello Panariello
Angelo Porrello
Rita Cucchiara
Simone Calderara
MoMe
31
1
0
01 Nov 2024
Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning
Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning
Da-Wei Zhou
Zi-Wen Cai
Han-Jia Ye
Lijun Zhang
De-Chuan Zhan
CLL
AI4CE
66
2
0
01 Oct 2024
Empowering Graph Invariance Learning with Deep Spurious Infomax
Empowering Graph Invariance Learning with Deep Spurious Infomax
Tianjun Yao
Yongqiang Chen
Zhenhao Chen
Kai Hu
Zhiqiang Shen
Kun Zhang
OOD
37
6
0
13 Jul 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
77
3
0
05 Jun 2024
Fine-tuning with Very Large Dropout
Fine-tuning with Very Large Dropout
Jianyu Zhang
Léon Bottou
37
1
0
01 Mar 2024
Towards Stable Backdoor Purification through Feature Shift Tuning
Towards Stable Backdoor Purification through Feature Shift Tuning
Rui Min
Zeyu Qin
Li Shen
Minhao Cheng
AAML
38
21
0
03 Oct 2023
Spurious Feature Diversification Improves Out-of-distribution
  Generalization
Spurious Feature Diversification Improves Out-of-distribution Generalization
Yong Lin
Lu Tan
Yifan Hao
Honam Wong
Hanze Dong
Weizhong Zhang
Yujiu Yang
Tong Zhang
OODD
26
24
0
29 Sep 2023
Model Ratatouille: Recycling Diverse Models for Out-of-Distribution
  Generalization
Model Ratatouille: Recycling Diverse Models for Out-of-Distribution Generalization
Alexandre Ramé
Kartik Ahuja
Jianyu Zhang
Matthieu Cord
Léon Bottou
David Lopez-Paz
MoMe
OODD
29
81
0
20 Dec 2022
Diverse Weight Averaging for Out-of-Distribution Generalization
Diverse Weight Averaging for Out-of-Distribution Generalization
Alexandre Ramé
Matthieu Kirchmeyer
Thibaud Rahier
A. Rakotomamonjy
Patrick Gallinari
Matthieu Cord
OOD
193
128
0
19 May 2022
Out-of-Distribution Generalization via Risk Extrapolation (REx)
Out-of-Distribution Generalization via Risk Extrapolation (REx)
David M. Krueger
Ethan Caballero
J. Jacobsen
Amy Zhang
Jonathan Binas
Dinghuai Zhang
Rémi Le Priol
Aaron Courville
OOD
215
901
0
02 Mar 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
314
11,681
0
09 Mar 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
270
5,660
0
05 Dec 2016
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