TorchQL: A Programming Framework for Integrity Constraints in Machine Learning

13 August 2023

Papers citing "TorchQL: A Programming Framework for Integrity Constraints in Machine Learning"

23 / 23 papers shown

Title
Dolphin: A Programmable Framework for Scalable Neurosymbolic Learning Aaditya Naik Jason Liu Claire Wang Amish Sethi Saikat Dutta Mayur Naik Eric Wong 74 2 0 04 Oct 2024
Multilingual Language Models are not Multicultural: A Case Study in Emotion Shreya Havaldar Sunny Rai Bhumika Singhal Langchen Liu Langchen Liu Sharath Chandra Guntuku Lyle Ungar 76 61 0 03 Jul 2023
"I'm sorry to hear that": Finding New Biases in Language Models with a Holistic Descriptor Dataset Eric Michael Smith Melissa Hall Melanie Kambadur Eleonora Presani Adina Williams 96 141 0 18 May 2022
SAITS: Self-Attention-based Imputation for Time Series Wenjie Du David Cote Yang Liu AI4TS 56 248 0 17 Feb 2022
Datamodels: Predicting Predictions from Training Data Andrew Ilyas Sung Min Park Logan Engstrom Guillaume Leclerc Aleksander Madry TDI 105 139 0 01 Feb 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 738 9,267 0 28 Jan 2022
Salient ImageNet: How to discover spurious features in Deep Learning? Sahil Singla Soheil Feizi AAML VLM 65 120 0 08 Oct 2021
CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation Y. Tashiro Jiaming Song Yang Song Stefano Ermon BDL DiffM 45 539 0 07 Jul 2021
Towards Understanding and Mitigating Social Biases in Language Models Paul Pu Liang Chiyu Wu Louis-Philippe Morency Ruslan Salakhutdinov 89 388 0 24 Jun 2021
Leveraging Sparse Linear Layers for Debuggable Deep Networks Eric Wong Shibani Santurkar Aleksander Madry FAtt 46 90 0 11 May 2021
Persistent Anti-Muslim Bias in Large Language Models Abubakar Abid Maheen Farooqi James Zou AILaw 97 549 0 14 Jan 2021
Understanding Failures of Deep Networks via Robust Feature Extraction Sahil Singla Besmira Nushi S. Shah Ece Kamar Eric Horvitz FAtt 48 84 0 03 Dec 2020
TIDE: A General Toolbox for Identifying Object Detection Errors Daniel Bolya Sean Foley James Hays Judy Hoffman 72 194 0 18 Aug 2020
The iWildCam 2020 Competition Dataset Sara Beery Elijah Cole Arvi Gjoka 113 90 0 21 Apr 2020
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Colin Raffel Noam M. Shazeer Adam Roberts Katherine Lee Sharan Narang Michael Matena Yanqi Zhou Wei Li Peter J. Liu AIMat 367 20,053 0 23 Oct 2019
Measuring Bias in Contextualized Word Representations Keita Kurita Nidhi Vyas Ayush Pareek A. Black Yulia Tsvetkov 98 449 0 18 Jun 2019
Algorithms for Verifying Deep Neural Networks Changliu Liu Tomer Arnon Christopher Lazarus Christopher A. Strong Clark W. Barrett Mykel J. Kochenderfer AAML 86 398 0 15 Mar 2019
Confounding variables can degrade generalization performance of radiological deep learning models J. Zech Marcus A. Badgeley Manway Liu A. Costa J. Titano Eric K. Oermann OOD 80 1,173 0 02 Jul 2018
DeepTest: Automated Testing of Deep-Neural-Network-driven Autonomous Cars Yuchi Tian Kexin Pei Suman Jana Baishakhi Ray AAML 59 1,356 0 28 Aug 2017
Memory-Efficient Implementation of DenseNets Geoff Pleiss Danlu Chen Gao Huang Tongcheng Li Laurens van der Maaten Kilian Q. Weinberger 59 160 0 21 Jul 2017
Device Placement Optimization with Reinforcement Learning Azalia Mirhoseini Hieu H. Pham Quoc V. Le Benoit Steiner Rasmus Larsen Yuefeng Zhou Naveen Kumar Mohammad Norouzi Samy Bengio J. Dean 79 438 0 13 Jun 2017
Understanding Black-box Predictions via Influence Functions Pang Wei Koh Percy Liang TDI 169 2,878 0 14 Mar 2017
The Cityscapes Dataset for Semantic Urban Scene Understanding Marius Cordts Mohamed Omran Sebastian Ramos Timo Rehfeld Markus Enzweiler Rodrigo Benenson Uwe Franke Stefan Roth Bernt Schiele 892 11,587 0 06 Apr 2016