ID and OOD Performance Are Sometimes Inversely Correlated on Real-world
Datasets

ID and OOD Performance Are Sometimes Inversely Correlated on Real-world Datasets

1 September 2022

Ehsan Abbasnejad

Papers citing "ID and OOD Performance Are Sometimes Inversely Correlated on Real-world Datasets"

12 / 12 papers shown

Title
What Does Softmax Probability Tell Us about Classifiers Ranking Across Diverse Test Conditions? Weijie Tu Weijian Deng Liang Zheng Tom Gedeon 40 0 0 14 Jun 2024
Zero-shot Retrieval: Augmenting Pre-trained Models with Search Engines Hamed Damirchi Cristian Rodriguez-Opazo Ehsan Abbasnejad Damien Teney Javen Qinfeng Shi Stephen Gould A. Hengel VLM 41 0 0 29 Nov 2023
Selective Mixup Helps with Distribution Shifts, But Not (Only) because of Mixup Damien Teney Jindong Wang Ehsan Abbasnejad 30 6 0 26 May 2023
Spawrious: A Benchmark for Fine Control of Spurious Correlation Biases Aengus Lynch G. Dovonon Jean Kaddour Ricardo M. A. Silva 189 30 0 09 Mar 2023
GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-distribution Generalization Perspective Linyi Yang Shuibai Zhang Libo Qin Yafu Li Yidong Wang Hanmeng Liu Jindong Wang Xingxu Xie Yue Zhang ELM 39 79 0 15 Nov 2022
Transfer Learning with Pretrained Remote Sensing Transformers A. Fuller K. Millard J.R. Green 30 11 0 28 Sep 2022
Linear Connectivity Reveals Generalization Strategies Jeevesh Juneja Rachit Bansal Kyunghyun Cho João Sedoc Naomi Saphra 237 45 0 24 May 2022
Diversify and Disambiguate: Learning From Underspecified Data Yoonho Lee Huaxiu Yao Chelsea Finn 210 64 0 07 Feb 2022
A Fine-Grained Analysis on Distribution Shift Olivia Wiles Sven Gowal Florian Stimberg Sylvestre-Alvise Rebuffi Ira Ktena Krishnamurthy Dvijotham A. Cemgil OOD 225 201 0 21 Oct 2021
Which Shortcut Cues Will DNNs Choose? A Study from the Parameter-Space Perspective Luca Scimeca Seong Joon Oh Sanghyuk Chun Michael Poli Sangdoo Yun OOD 381 49 0 06 Oct 2021
Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions with Superior OOD Generalization Damien Teney Ehsan Abbasnejad Simon Lucey A. Hengel 23 86 0 12 May 2021
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 166 62 0 08 Dec 2020