Diagnosing Model Performance Under Distribution Shift

3 March 2023

Papers citing "Diagnosing Model Performance Under Distribution Shift"

19 / 19 papers shown

Title
A Directional Rockafellar-Uryasev Regression Alberto Arletti 24 0 0 04 Nov 2024
LLM Embeddings Improve Test-time Adaptation to Tabular $Y\|X$ -Shifts Yibo Zeng Jiashuo Liu H. Lam Hongseok Namkoong LMTD 19 1 0 09 Oct 2024
Control+Shift: Generating Controllable Distribution Shifts Roy Friedman Rhea Chowers 26 0 0 12 Sep 2024
The Data Addition Dilemma Judy Hanwen Shen Inioluwa Deborah Raji Irene Y. Chen 30 5 0 08 Aug 2024
Robust prediction under missingness shifts P. Rockenschaub Zhicong Xian Alireza Zamanian Marta Piperno Octavia-Andreea Ciora E. Pachl Narges Ahmidi OOD 29 0 0 24 Jun 2024
DAFNet: Dynamic Auxiliary Fusion for Sequential Model Editing in Large Language Models Taolin Zhang Qizhou Chen Dongyang Li Chengyu Wang Xiaofeng He Longtao Huang Hui Xue Junyuan Huang CLL KELM 37 3 0 31 May 2024
Fairness Hub Technical Briefs: Definition and Detection of Distribution Shift Nicolas Acevedo Carmen Cortez Christopher A. Brooks René F. Kizilcec Renzhe Yu 21 0 0 23 May 2024
Multi-Source Conformal Inference Under Distribution Shift Yi Liu Alexander W. Levis Sharon-Lise T. Normand Larry Han OOD 21 7 0 15 May 2024
A robust assessment for invariant representations Wenlu Tang Zicheng Liu OOD 19 0 0 07 Apr 2024
A Survey on Evaluation of Out-of-Distribution Generalization Han Yu Jiashuo Liu Xingxuan Zhang Jiayun Wu Peng Cui OOD 42 9 0 04 Mar 2024
A hierarchical decomposition for explaining ML performance discrepancies Jean Feng Harvineet Singh Fan Xia Adarsh Subbaswamy Alexej Gossmann CML 25 0 0 22 Feb 2024
Understanding Disparities in Post Hoc Machine Learning Explanation Vishwali Mhasawade Salman Rahman Zoe Haskell-Craig R. Chunara 8 3 0 25 Jan 2024
A Baseline Analysis of Reward Models' Ability To Accurately Analyze Foundation Models Under Distribution Shift Will LeVine Benjamin Pikus Tony Chen Sean Hendryx 8 8 0 21 Nov 2023
Label Shift Estimators for Non-Ignorable Missing Data Andrew C. Miller Joseph D. Futoma 13 0 0 27 Oct 2023
MuggleMath: Assessing the Impact of Query and Response Augmentation on Math Reasoning Chengpeng Li Zheng Yuan Hongyi Yuan Guanting Dong Keming Lu Jiancan Wu Chuanqi Tan Xiang Wang Chang Zhou LRM 10 21 0 09 Oct 2023
"Why did the Model Fail?": Attributing Model Performance Changes to Distribution Shifts Haoran Zhang Harvineet Singh Marzyeh Ghassemi Shalmali Joshi 14 18 0 19 Oct 2022
Undersmoothing Causal Estimators with Generative Trees Damian Machlanski Spyridon Samothrakis Paul Clarke CML 16 1 0 16 Mar 2022
Towards Out-Of-Distribution Generalization: A Survey Jiashuo Liu Zheyan Shen Yue He Xingxuan Zhang Renzhe Xu Han Yu Peng Cui CML OOD 29 510 0 31 Aug 2021
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 149 9,300 0 28 May 2015