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2004.13705
Cited By

Showing Your Work Doesn't Always Work

Showing Your Work Doesn't Always Work

Annual Meeting of the Association for Computational Linguistics (ACL), 2020

28 April 2020

Xinyu Liu

ArXiv (abs)PDF HTML Github (9★)

Papers citing "Showing Your Work Doesn't Always Work"

5 / 5 papers shown

Show Your Work with Confidence: Confidence Bands for Tuning Curves

Show Your Work with Confidence: Confidence Bands for Tuning Curves

Nicholas Lourie

219

3

0

16 Nov 2023

Transformers Go for the LOLs: Generating (Humourous) Titles from
Scientific Abstracts End-to-End

Transformers Go for the LOLs: Generating (Humourous) Titles from Scientific Abstracts End-to-End

349

24

0

20 Dec 2022

Random Search Hyper-Parameter Tuning: Expected Improvement Estimation
and the Corresponding Lower Bound

Random Search Hyper-Parameter Tuning: Expected Improvement Estimation and the Corresponding Lower Bound

123

8

0

17 Aug 2022

Showing Your Offline Reinforcement Learning Work: Online Evaluation
Budget Matters

Showing Your Offline Reinforcement Learning Work: Online Evaluation Budget MattersInternational Conference on Machine Learning (ICML), 2021

Vladislav Kurenkov

Sergey Kolesnikov

369

24

0

08 Oct 2021

Expected Validation Performance and Estimation of a Random Variable's
Maximum

Expected Validation Performance and Estimation of a Random Variable's Maximum

Suchin Gururangan

232

9

0

01 Oct 2021

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