ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2109.02038
  4. Cited By
NAS-OoD: Neural Architecture Search for Out-of-Distribution
  Generalization

NAS-OoD: Neural Architecture Search for Out-of-Distribution Generalization

5 September 2021
Haoyue Bai
Fengwei Zhou
Lanqing Hong
Nanyang Ye
Shueng-Han Gary Chan
Zhenguo Li
    OOD
    UQCV
ArXivPDFHTML

Papers citing "NAS-OoD: Neural Architecture Search for Out-of-Distribution Generalization"

14 / 14 papers shown
Title
Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes
Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes
Aodi Li
Liansheng Zhuang
Xiao Long
Minghong Yao
Shafei Wang
186
0
0
18 Dec 2024
FlatNAS: optimizing Flatness in Neural Architecture Search for
  Out-of-Distribution Robustness
FlatNAS: optimizing Flatness in Neural Architecture Search for Out-of-Distribution Robustness
Matteo Gambella
Fabrizio Pittorino
Manuel Roveri
OOD
42
3
0
29 Feb 2024
Image Background Serves as Good Proxy for Out-of-distribution Data
Image Background Serves as Good Proxy for Out-of-distribution Data
Sen Pei
39
1
0
02 Jul 2023
HyperTime: Hyperparameter Optimization for Combating Temporal
  Distribution Shifts
HyperTime: Hyperparameter Optimization for Combating Temporal Distribution Shifts
Shaokun Zhang
Yiran Wu
Zhonghua Zheng
Qingyun Wu
Chi Wang
OOD
43
7
0
28 May 2023
Model Agnostic Sample Reweighting for Out-of-Distribution Learning
Model Agnostic Sample Reweighting for Out-of-Distribution Learning
Xiao Zhou
Yong Lin
Renjie Pi
Weizhong Zhang
Renzhe Xu
Peng Cui
Tong Zhang
OODD
39
60
0
24 Jan 2023
Free Lunch for Generating Effective Outlier Supervision
Sen Pei
Jiaxi Sun
R. Xu
Bin Fan
Shiming Xiang
Gaofeng Meng
OODD
42
0
0
17 Jan 2023
Context-Aware Robust Fine-Tuning
Context-Aware Robust Fine-Tuning
Xiaofeng Mao
YueFeng Chen
Xiaojun Jia
Rong Zhang
Hui Xue
Zhao Li
VLM
CLIP
35
24
0
29 Nov 2022
NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision
  Research
NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research
J. Bornschein
Alexandre Galashov
Ross Hemsley
Amal Rannen-Triki
Yutian Chen
...
Angeliki Lazaridou
Yee Whye Teh
Andrei A. Rusu
Razvan Pascanu
MarcÁurelio Ranzato
OOD
VLM
AI4TS
36
16
0
15 Nov 2022
Training Debiased Subnetworks with Contrastive Weight Pruning
Training Debiased Subnetworks with Contrastive Weight Pruning
Geon Yeong Park
Sangmin Lee
Sang Wan Lee
Jong Chul Ye
CML
32
13
0
11 Oct 2022
AutoGPart: Intermediate Supervision Search for Generalizable 3D Part
  Segmentation
AutoGPart: Intermediate Supervision Search for Generalizable 3D Part Segmentation
Xueyi Liu
Xiaomeng Xu
Anyi Rao
Chuang Gan
L. Yi
3DPC
24
14
0
13 Mar 2022
Towards Recognizing Unseen Categories in Unseen Domains
Towards Recognizing Unseen Categories in Unseen Domains
Massimiliano Mancini
Zeynep Akata
Elisa Ricci
Barbara Caputo
VLM
61
100
0
23 Jul 2020
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
338
11,684
0
09 Mar 2017
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
271
5,329
0
05 Nov 2016
1