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Show Your Work: Improved Reporting of Experimental Results

Show Your Work: Improved Reporting of Experimental Results

6 September 2019
Jesse Dodge
Suchin Gururangan
Dallas Card
Roy Schwartz
Noah A. Smith
ArXivPDFHTML

Papers citing "Show Your Work: Improved Reporting of Experimental Results"

15 / 65 papers shown
Title
Utility is in the Eye of the User: A Critique of NLP Leaderboards
Utility is in the Eye of the User: A Critique of NLP Leaderboards
Kawin Ethayarajh
Dan Jurafsky
ELM
24
51
0
29 Sep 2020
RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language
  Models
RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models
Samuel Gehman
Suchin Gururangan
Maarten Sap
Yejin Choi
Noah A. Smith
37
1,132
0
24 Sep 2020
Dataset Cartography: Mapping and Diagnosing Datasets with Training
  Dynamics
Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics
Swabha Swayamdipta
Roy Schwartz
Nicholas Lourie
Yizhong Wang
Hannaneh Hajishirzi
Noah A. Smith
Yejin Choi
44
429
0
22 Sep 2020
On the Effectiveness of Image Rotation for Open Set Domain Adaptation
On the Effectiveness of Image Rotation for Open Set Domain Adaptation
S. Bucci
Mohammad Reza Loghmani
Tatiana Tommasi
57
142
0
24 Jul 2020
Ethical Adversaries: Towards Mitigating Unfairness with Adversarial
  Machine Learning
Ethical Adversaries: Towards Mitigating Unfairness with Adversarial Machine Learning
Pieter Delobelle
Paul Temple
Gilles Perrouin
Benoit Frénay
P. Heymans
Bettina Berendt
AAML
FaML
13
14
0
14 May 2020
Showing Your Work Doesn't Always Work
Showing Your Work Doesn't Always Work
Raphael Tang
Jaejun Lee
Ji Xin
Xinyu Liu
Yaoliang Yu
Jimmy J. Lin
17
5
0
28 Apr 2020
The Cost of Training NLP Models: A Concise Overview
The Cost of Training NLP Models: A Concise Overview
Or Sharir
Barak Peleg
Y. Shoham
40
210
0
19 Apr 2020
The Right Tool for the Job: Matching Model and Instance Complexities
The Right Tool for the Job: Matching Model and Instance Complexities
Roy Schwartz
Gabriel Stanovsky
Swabha Swayamdipta
Jesse Dodge
Noah A. Smith
38
168
0
16 Apr 2020
Knowledge Fusion and Semantic Knowledge Ranking for Open Domain Question
  Answering
Knowledge Fusion and Semantic Knowledge Ranking for Open Domain Question Answering
Pratyay Banerjee
Chitta Baral
RALM
22
24
0
07 Apr 2020
A Hierarchy of Limitations in Machine Learning
A Hierarchy of Limitations in Machine Learning
M. Malik
15
55
0
12 Feb 2020
oLMpics -- On what Language Model Pre-training Captures
oLMpics -- On what Language Model Pre-training Captures
Alon Talmor
Yanai Elazar
Yoav Goldberg
Jonathan Berant
LRM
34
300
0
31 Dec 2019
E-BERT: Efficient-Yet-Effective Entity Embeddings for BERT
E-BERT: Efficient-Yet-Effective Entity Embeddings for BERT
Nina Poerner
Ulli Waltinger
Hinrich Schütze
13
156
0
09 Nov 2019
What Question Answering can Learn from Trivia Nerds
What Question Answering can Learn from Trivia Nerds
Jordan L. Boyd-Graber
Benjamin Borschinger
24
36
0
31 Oct 2019
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
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
299
6,984
0
20 Apr 2018
A Decomposable Attention Model for Natural Language Inference
A Decomposable Attention Model for Natural Language Inference
Ankur P. Parikh
Oscar Täckström
Dipanjan Das
Jakob Uszkoreit
213
1,367
0
06 Jun 2016
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