Capabilities for Better ML Engineering

Capabilities for Better ML Engineering

11 November 2022

Chenyang Yang

Rachel A. Brower-Sinning

Christian Kastner

Tongshuang Wu

Papers citing "Capabilities for Better ML Engineering"

6 / 6 papers shown

Title
Using Quality Attribute Scenarios for ML Model Test Case Generation Rachel A. Brower-Sinning Grace A. Lewis Sebastían Echeverría Ipek Ozkaya 35 0 0 12 Jun 2024
Beyond Testers' Biases: Guiding Model Testing with Knowledge Bases using LLMs Chenyang Yang Rishabh Rustogi Rachel A. Brower-Sinning Grace A. Lewis Christian Kastner Tongshuang Wu KELM 30 11 0 14 Oct 2023
Challenges and Opportunities of Using Transformer-Based Multi-Task Learning in NLP Through ML Lifecycle: A Survey Lovre Torbarina Tin Ferkovic Lukasz Roguski Velimir Mihelčić Bruno Šarlija Z. Kraljevic 19 5 0 16 Aug 2023
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation Kaustubh D. Dhole Varun Gangal Sebastian Gehrmann Aadesh Gupta Zhenhao Li ... Tianbao Xie Usama Yaseen Michael A. Yee Jing Zhang Yue Zhang 171 86 0 06 Dec 2021
Discovering and Validating AI Errors With Crowdsourced Failure Reports Ángel Alexander Cabrera Abraham J. Druck Jason I. Hong Adam Perer HAI 52 54 0 23 Sep 2021
Robustness Gym: Unifying the NLP Evaluation Landscape Karan Goel Nazneen Rajani Jesse Vig Samson Tan Jason M. Wu Stephan Zheng Caiming Xiong Mohit Bansal Christopher Ré AAML OffRL OOD 146 136 0 13 Jan 2021