Slice-based Learning: A Programming Model for Residual Learning in
Critical Data Slices

Slice-based Learning: A Programming Model for Residual Learning in Critical Data Slices

13 September 2019

Alexander Ratner

Christopher Ré

Papers citing "Slice-based Learning: A Programming Model for Residual Learning in Critical Data Slices"

18 / 18 papers shown

Title
PyTDC: A multimodal machine learning training, evaluation, and inference platform for biomedical foundation models Alejandro Velez-Arce Marinka Zitnik 38 0 0 08 May 2025
A survey on robustness in trajectory prediction for autonomous vehicles Jeroen Hagenus Frederik Baymler Mathiesen J. Schumann Arkady Zgonnikov 40 3 0 02 Feb 2024
AutoSlicer: Scalable Automated Data Slicing for ML Model Analysis Zifan Liu Evan Rosen P. Suganthan 24 1 0 18 Dec 2022
Lifting the Curse of Multilinguality by Pre-training Modular Transformers Jonas Pfeiffer Naman Goyal Xi Lin Xian Li James Cross Sebastian Riedel Mikel Artetxe LRM 40 139 0 12 May 2022
Metadata Shaping: Natural Language Annotations for the Tail Simran Arora Sen Wu Enci Liu Christopher Ré 38 0 0 16 Oct 2021
Managing ML Pipelines: Feature Stores and the Coming Wave of Embedding Ecosystems Laurel J. Orr Atindriyo Sanyal Xiao Ling Karan Goel Megan Leszczynski 27 18 0 11 Aug 2021
Mandoline: Model Evaluation under Distribution Shift Mayee F. Chen Karan Goel N. Sohoni Fait Poms Kayvon Fatahalian Christopher Ré 30 69 0 01 Jul 2021
Learning Slice-Aware Representations with Mixture of Attentions Cheng Wang Sungjin Lee Sunghyun Park Han Li Young-Bum Kim R. Sarikaya 29 2 0 04 Jun 2021
Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving Models Tongshuang Wu Marco Tulio Ribeiro Jeffrey Heer Daniel S. Weld 43 243 0 01 Jan 2021
WILDS: A Benchmark of in-the-Wild Distribution Shifts Pang Wei Koh Shiori Sagawa Henrik Marklund Sang Michael Xie Marvin Zhang ... A. Kundaje Emma Pierson Sergey Levine Chelsea Finn Percy Liang OOD 106 1,383 0 14 Dec 2020
Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling Benedikt Boecking Willie Neiswanger Eric Xing A. Dubrawski NoLa OffRL 23 68 0 11 Dec 2020
No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained Classification Problems N. Sohoni Jared A. Dunnmon Geoffrey Angus Albert Gu Christopher Ré 30 242 0 25 Nov 2020
Bootleg: Chasing the Tail with Self-Supervised Named Entity Disambiguation Laurel J. Orr Megan Leszczynski Simran Arora Sen Wu Neel Guha Xiao Ling Christopher Ré 143 48 0 20 Oct 2020
Diversity sampling is an implicit regularization for kernel methods Michaël Fanuel J. Schreurs Johan A. K. Suykens 21 14 0 20 Feb 2020
Hidden Stratification Causes Clinically Meaningful Failures in Machine Learning for Medical Imaging Luke Oakden-Rayner Jared A. Dunnmon G. Carneiro Christopher Ré OOD 35 373 0 27 Sep 2019
Overton: A Data System for Monitoring and Improving Machine-Learned Products Christopher Ré Feng Niu Pallavi Gudipati Charles Srisuwananukorn AI4TS 24 46 0 07 Sep 2019
Nyström landmark sampling and regularized Christoffel functions Michaël Fanuel J. Schreurs Johan A. K. Suykens 20 10 0 29 May 2019
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 304 6,996 0 20 Apr 2018