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TorchQL: A Programming Framework for Integrity Constraints in Machine
  Learning

TorchQL: A Programming Framework for Integrity Constraints in Machine Learning

13 August 2023
Aaditya Naik
Adam Stein
Yinjun Wu
Mayur Naik
Eric Wong
ArXivPDFHTML

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

24 / 24 papers shown
Title
Dolphin: A Programmable Framework for Scalable Neurosymbolic Learning
Dolphin: A Programmable Framework for Scalable Neurosymbolic Learning
Aaditya Naik
Jason Liu
Claire Wang
Amish Sethi
Saikat Dutta
Mayur Naik
Eric Wong
77
2
0
04 Oct 2024
Multilingual Language Models are not Multicultural: A Case Study in
  Emotion
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
79
61
0
03 Jul 2023
Faithful Chain-of-Thought Reasoning
Faithful Chain-of-Thought Reasoning
Qing Lyu
Shreya Havaldar
Adam Stein
Li Zhang
D. Rao
Eric Wong
Marianna Apidianaki
Chris Callison-Burch
ReLM
LRM
90
226
0
31 Jan 2023
"I'm sorry to hear that": Finding New Biases in Language Models with a
  Holistic Descriptor Dataset
"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
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
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
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?
Salient ImageNet: How to discover spurious features in Deep Learning?
Sahil Singla
Soheil Feizi
AAML
VLM
70
120
0
08 Oct 2021
CSDI: Conditional Score-based Diffusion Models for Probabilistic Time
  Series Imputation
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
Towards Understanding and Mitigating Social Biases in Language Models
Paul Pu Liang
Chiyu Wu
Louis-Philippe Morency
Ruslan Salakhutdinov
91
388
0
24 Jun 2021
Leveraging Sparse Linear Layers for Debuggable Deep Networks
Leveraging Sparse Linear Layers for Debuggable Deep Networks
Eric Wong
Shibani Santurkar
Aleksander Madry
FAtt
51
90
0
11 May 2021
Persistent Anti-Muslim Bias in Large Language Models
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
Understanding Failures of Deep Networks via Robust Feature Extraction
Sahil Singla
Besmira Nushi
S. Shah
Ece Kamar
Eric Horvitz
FAtt
50
84
0
03 Dec 2020
TIDE: A General Toolbox for Identifying Object Detection Errors
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
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
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
373
20,053
0
23 Oct 2019
Measuring Bias in Contextualized Word Representations
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
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
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
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
Memory-Efficient Implementation of DenseNets
Geoff Pleiss
Danlu Chen
Gao Huang
Tongcheng Li
Laurens van der Maaten
Kilian Q. Weinberger
61
160
0
21 Jul 2017
Device Placement Optimization with Reinforcement Learning
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
82
439
0
13 Jun 2017
Understanding Black-box Predictions via Influence Functions
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
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
972
11,587
0
06 Apr 2016
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