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Paired Examples as Indirect Supervision in Latent Decision Models

Paired Examples as Indirect Supervision in Latent Decision Models

5 April 2021
Nitish Gupta
Sameer Singh
Matt Gardner
Dan Roth
ArXiv (abs)PDFHTML

Papers citing "Paired Examples as Indirect Supervision in Latent Decision Models"

37 / 37 papers shown
Title
Enforcing Consistency in Weakly Supervised Semantic Parsing
Enforcing Consistency in Weakly Supervised Semantic Parsing
Nitish Gupta
Sameer Singh
Matt Gardner
NAI
69
5
0
13 Jul 2021
Improving Compositional Generalization in Semantic Parsing
Improving Compositional Generalization in Semantic Parsing
I. Oren
Jonathan Herzig
Nitish Gupta
Matt Gardner
Jonathan Berant
73
63
0
12 Oct 2020
Span-based Semantic Parsing for Compositional Generalization
Span-based Semantic Parsing for Compositional Generalization
Jonathan Herzig
Jonathan Berant
ReLMLRM
61
102
0
13 Sep 2020
Contrastive Learning for Weakly Supervised Phrase Grounding
Contrastive Learning for Weakly Supervised Phrase Grounding
Tanmay Gupta
Arash Vahdat
Gal Chechik
Xiaodong Yang
Jan Kautz
Derek Hoiem
ObjDSSL
128
144
0
17 Jun 2020
Obtaining Faithful Interpretations from Compositional Neural Networks
Obtaining Faithful Interpretations from Compositional Neural Networks
Sanjay Subramanian
Ben Bogin
Nitish Gupta
Tomer Wolfson
Sameer Singh
Jonathan Berant
Matt Gardner
56
42
0
02 May 2020
Logic-Guided Data Augmentation and Regularization for Consistent
  Question Answering
Logic-Guided Data Augmentation and Regularization for Consistent Question Answering
Akari Asai
Hannaneh Hajishirzi
NAI
95
117
0
21 Apr 2020
Learning What Makes a Difference from Counterfactual Examples and
  Gradient Supervision
Learning What Makes a Difference from Counterfactual Examples and Gradient Supervision
Damien Teney
Ehsan Abbasnejad
Anton Van Den Hengel
OODSSLCML
84
119
0
20 Apr 2020
Avoiding the Hypothesis-Only Bias in Natural Language Inference via
  Ensemble Adversarial Training
Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training
Joe Stacey
Pasquale Minervini
Haim Dubossarsky
Sebastian Riedel
Tim Rocktaschel
AI4CE
68
8
0
16 Apr 2020
Asking and Answering Questions to Evaluate the Factual Consistency of
  Summaries
Asking and Answering Questions to Evaluate the Factual Consistency of Summaries
Alex Jinpeng Wang
Kyunghyun Cho
M. Lewis
HILM
86
482
0
08 Apr 2020
Adversarial Filters of Dataset Biases
Adversarial Filters of Dataset Biases
Ronan Le Bras
Swabha Swayamdipta
Chandra Bhagavatula
Rowan Zellers
Matthew E. Peters
Ashish Sabharwal
Yejin Choi
114
223
0
10 Feb 2020
Break It Down: A Question Understanding Benchmark
Break It Down: A Question Understanding Benchmark
Tomer Wolfson
Mor Geva
Ankit Gupta
Matt Gardner
Yoav Goldberg
Daniel Deutch
Jonathan Berant
78
188
0
31 Jan 2020
CLOSURE: Assessing Systematic Generalization of CLEVR Models
CLOSURE: Assessing Systematic Generalization of CLEVR Models
Dzmitry Bahdanau
H. D. Vries
Timothy J. O'Donnell
Shikhar Murty
Philippe Beaudoin
Yoshua Bengio
Aaron Courville
NAI
62
90
0
12 Dec 2019
Neural Module Networks for Reasoning over Text
Neural Module Networks for Reasoning over Text
Nitish Gupta
Kevin Lin
Dan Roth
Sameer Singh
Matt Gardner
NAIReLMLRM
73
132
0
10 Dec 2019
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language
  Generation, Translation, and Comprehension
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
M. Lewis
Yinhan Liu
Naman Goyal
Marjan Ghazvininejad
Abdel-rahman Mohamed
Omer Levy
Veselin Stoyanov
Luke Zettlemoyer
AIMatVLM
264
10,851
0
29 Oct 2019
On Incorporating Semantic Prior Knowledge in Deep Learning Through
  Embedding-Space Constraints
On Incorporating Semantic Prior Knowledge in Deep Learning Through Embedding-Space Constraints
Damien Teney
Ehsan Abbasnejad
Anton Van Den Hengel
NAI
84
9
0
30 Sep 2019
Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known
  Dataset Biases
Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases
Christopher Clark
Mark Yatskar
Luke Zettlemoyer
OOD
88
466
0
09 Sep 2019
A Logic-Driven Framework for Consistency of Neural Models
A Logic-Driven Framework for Consistency of Neural Models
Tao Li
Vivek Gupta
Maitrey Mehta
Vivek Srikumar
AI4CE
93
106
0
31 Aug 2019
A Multi-Type Multi-Span Network for Reading Comprehension that Requires
  Discrete Reasoning
A Multi-Type Multi-Span Network for Reading Comprehension that Requires Discrete Reasoning
Minghao Hu
Yuxing Peng
Zhen Huang
Dongsheng Li
AIMatLRM
62
91
0
15 Aug 2019
Barack's Wife Hillary: Using Knowledge-Graphs for Fact-Aware Language
  Modeling
Barack's Wife Hillary: Using Knowledge-Graphs for Fact-Aware Language Modeling
IV RobertL.Logan
Nelson F. Liu
Matthew E. Peters
Matt Gardner
Sameer Singh
RALM
73
188
0
17 Jun 2019
Compositional generalization through meta sequence-to-sequence learning
Compositional generalization through meta sequence-to-sequence learning
Brenden M. Lake
CoGe
83
199
0
12 Jun 2019
Compositional Questions Do Not Necessitate Multi-hop Reasoning
Compositional Questions Do Not Necessitate Multi-hop Reasoning
Sewon Min
Eric Wallace
Sameer Singh
Matt Gardner
Hannaneh Hajishirzi
Luke Zettlemoyer
90
150
0
07 Jun 2019
Generating Question-Answer Hierarchies
Generating Question-Answer Hierarchies
Kalpesh Krishna
Mohit Iyyer
58
39
0
06 Jun 2019
Transcoding compositionally: using attention to find more generalizable
  solutions
Transcoding compositionally: using attention to find more generalizable solutions
K. Korrel
Dieuwke Hupkes
Verna Dankers
Elia Bruni
53
31
0
04 Jun 2019
Unsupervised Data Augmentation for Consistency Training
Unsupervised Data Augmentation for Consistency Training
Qizhe Xie
Zihang Dai
Eduard H. Hovy
Minh-Thang Luong
Quoc V. Le
137
2,321
0
29 Apr 2019
BERTScore: Evaluating Text Generation with BERT
BERTScore: Evaluating Text Generation with BERT
Tianyi Zhang
Varsha Kishore
Felix Wu
Kilian Q. Weinberger
Yoav Artzi
352
5,868
0
21 Apr 2019
Good-Enough Compositional Data Augmentation
Good-Enough Compositional Data Augmentation
Jacob Andreas
71
234
0
21 Apr 2019
DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning
  Over Paragraphs
DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs
Dheeru Dua
Yizhong Wang
Pradeep Dasigi
Gabriel Stanovsky
Sameer Singh
Matt Gardner
AIMat
108
965
0
01 Mar 2019
Adversarially Regularising Neural NLI Models to Integrate Logical
  Background Knowledge
Adversarially Regularising Neural NLI Models to Integrate Logical Background Knowledge
Pasquale Minervini
Sebastian Riedel
AAMLNAIGAN
59
119
0
26 Aug 2018
Improving Text-to-SQL Evaluation Methodology
Improving Text-to-SQL Evaluation Methodology
Catherine Finegan-Dollak
Jonathan K. Kummerfeld
Li Zhang
Karthik Ramanathan
Sesh Sadasivam
Rui Zhang
Dragomir R. Radev
83
279
0
23 Jun 2018
AllenNLP: A Deep Semantic Natural Language Processing Platform
AllenNLP: A Deep Semantic Natural Language Processing Platform
Matt Gardner
Joel Grus
Mark Neumann
Oyvind Tafjord
Pradeep Dasigi
Nelson F. Liu
Matthew E. Peters
Michael Schmitz
Luke Zettlemoyer
VLM
90
1,282
0
20 Mar 2018
Annotation Artifacts in Natural Language Inference Data
Annotation Artifacts in Natural Language Inference Data
Suchin Gururangan
Swabha Swayamdipta
Omer Levy
Roy Schwartz
Samuel R. Bowman
Noah A. Smith
155
1,180
0
06 Mar 2018
Dynamic Entity Representations in Neural Language Models
Dynamic Entity Representations in Neural Language Models
Yangfeng Ji
Chenhao Tan
Sebastian Martschat
Yejin Choi
Noah A. Smith
84
92
0
02 Aug 2017
Learning to Ask: Neural Question Generation for Reading Comprehension
Learning to Ask: Neural Question Generation for Reading Comprehension
Xinya Du
Junru Shao
Claire Cardie
3DV
158
664
0
29 Apr 2017
SQuAD: 100,000+ Questions for Machine Comprehension of Text
SQuAD: 100,000+ Questions for Machine Comprehension of Text
Pranav Rajpurkar
Jian Zhang
Konstantin Lopyrev
Percy Liang
RALM
316
8,174
0
16 Jun 2016
Recurrent Neural Network Grammars
Recurrent Neural Network Grammars
Chris Dyer
A. Kuncoro
Miguel Ballesteros
Noah A. Smith
GNN
95
527
0
25 Feb 2016
Neural Module Networks
Neural Module Networks
Jacob Andreas
Marcus Rohrbach
Trevor Darrell
Dan Klein
CoGe
139
1,076
0
09 Nov 2015
Neural Machine Translation by Jointly Learning to Align and Translate
Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
AIMat
578
27,327
0
01 Sep 2014
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