Dataset Cartography: Mapping and Diagnosing Datasets with Training
Dynamics

Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics

22 September 2020

Swabha Swayamdipta

Nicholas Lourie

Hannaneh Hajishirzi

Yejin Choi

Papers citing "Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics"

16 / 116 papers shown

Title
The Grammar-Learning Trajectories of Neural Language Models Leshem Choshen Guy Hacohen D. Weinshall Omri Abend 29 28 0 13 Sep 2021
Assessing the Quality of the Datasets by Identifying Mislabeled Samples Vaibhav Pulastya Gaurav Nuti Yash Kumar Atri Tanmoy Chakraborty NoLa 29 5 0 10 Sep 2021
Active learning for reducing labeling effort in text classification tasks Peter Jacobs Gideon Maillette de Buy Wenniger M. Wiering Lambert Schomaker VLM 45 12 0 10 Sep 2021
Cartography Active Learning Mike Zhang Barbara Plank 27 37 0 09 Sep 2021
CREAK: A Dataset for Commonsense Reasoning over Entity Knowledge Yasumasa Onoe Michael J.Q. Zhang Eunsol Choi Greg Durrett HILM 40 85 0 03 Sep 2021
T3-Vis: a visual analytic framework for Training and fine-Tuning Transformers in NLP Raymond Li Wen Xiao Lanjun Wang Hyeju Jang Giuseppe Carenini ViT 28 23 0 31 Aug 2021
Contrastive Explanations for Model Interpretability Alon Jacovi Swabha Swayamdipta Shauli Ravfogel Yanai Elazar Yejin Choi Yoav Goldberg 44 95 0 02 Mar 2021
Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative Adversarial Networks J. Lee Haeri Kim Youngkyu Hong Hye Won Chung 25 21 0 24 Feb 2021
A Closer Look at Few-Shot Crosslingual Transfer: The Choice of Shots Matters Mengjie Zhao Yi Zhu Ehsan Shareghi Ivan Vulić Roi Reichart Anna Korhonen Hinrich Schütze 32 64 0 31 Dec 2020
Latent Adversarial Debiasing: Mitigating Collider Bias in Deep Neural Networks L. N. Darlow Stanisław Jastrzębski Amos Storkey 48 24 0 19 Nov 2020
ANLIzing the Adversarial Natural Language Inference Dataset Adina Williams Tristan Thrush Douwe Kiela AAML 174 46 0 24 Oct 2020
How Can We Accelerate Progress Towards Human-like Linguistic Generalization? Tal Linzen 220 188 0 03 May 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 264 4,489 0 23 Jan 2020
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 297 6,959 0 20 Apr 2018
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015