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What is different between these datasets?

8 March 2024

Papers citing "What is different between these datasets?"

33 / 33 papers shown

Title
What's In My Big Data? Yanai Elazar Akshita Bhagia Ian H. Magnusson Abhilasha Ravichander Dustin Schwenk ... Luca Soldaini Sameer Singh Hanna Hajishirzi Noah A. Smith Jesse Dodge 76 95 0 31 Oct 2023
The Rashomon Importance Distribution: Getting RID of Unstable, Single Model-based Variable Importance J. Donnelly Srikar Katta Cynthia Rudin E. Browne FAtt 87 18 0 24 Sep 2023
Llama 2: Open Foundation and Fine-Tuned Chat Models Hugo Touvron Louis Martin Kevin R. Stone Peter Albert Amjad Almahairi ... Sharan Narang Aurelien Rodriguez Robert Stojnic Sergey Edunov Thomas Scialom AI4MH ALM 422 12,091 0 18 Jul 2023
A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark Datasets Md Tahmid Rahman Laskar M Saiful Bari Mizanur Rahman Md Amran Hossen Bhuiyan Shafiq Joty J. Huang LM&MA ELM ALM 123 193 0 29 May 2023
A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models Junjie Ye Xuanting Chen Nuo Xu Can Zu Zekai Shao ... Jie Zhou Siming Chen Tao Gui Qi Zhang Xuanjing Huang ELM 61 334 0 18 Mar 2023
Change is Hard: A Closer Look at Subpopulation Shift Yuzhe Yang Haoran Zhang Dina Katabi Marzyeh Ghassemi OOD 69 107 0 23 Feb 2023
How Close is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and Detection Biyang Guo Xin Zhang Ziyuan Wang Minqi Jiang Jinran Nie Yuxuan Ding Jianwei Yue Yupeng Wu DeLMO ELM 116 621 0 18 Jan 2023
Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations Differ Eoin Delaney A. Pakrashi Derek Greene Markt. Keane 71 17 0 16 Dec 2022
"Why did the Model Fail?": Attributing Model Performance Changes to Distribution Shifts Haoran Zhang Harvineet Singh Marzyeh Ghassemi Shalmali Joshi 56 23 0 19 Oct 2022
Exploring the Whole Rashomon Set of Sparse Decision Trees Rui Xin Chudi Zhong Zhi Chen Takuya Takagi Margo Seltzer Cynthia Rudin 67 58 0 16 Sep 2022
GSCLIP : A Framework for Explaining Distribution Shifts in Natural Language Zhiying Zhu Weixin Liang James Zou 79 9 0 30 Jun 2022
OpenXAI: Towards a Transparent Evaluation of Model Explanations Chirag Agarwal Dan Ley Satyapriya Krishna Eshika Saxena Martin Pawelczyk Nari Johnson Isha Puri Marinka Zitnik Himabindu Lakkaraju XAI 100 147 0 22 Jun 2022
MACE: An Efficient Model-Agnostic Framework for Counterfactual Explanation Wenzhuo Yang Jia Li Caiming Xiong Guosheng Lin CML 88 13 0 31 May 2022
ReAct: Out-of-distribution Detection With Rectified Activations Yiyou Sun Chuan Guo Yixuan Li OODD 115 485 0 24 Nov 2021
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 303 943 0 21 Oct 2021
Towards Out-Of-Distribution Generalization: A Survey Jiashuo Liu Zheyan Shen Yue He Xingxuan Zhang Renzhe Xu Han Yu Peng Cui CML OOD 162 535 0 31 Aug 2021
SUPERB: Speech processing Universal PERformance Benchmark Shu-Wen Yang Po-Han Chi Yung-Sung Chuang Cheng-I Jeff Lai Kushal Lakhotia ... Shuyan Dong Shang-Wen Li Shinji Watanabe Abdel-rahman Mohamed Hung-yi Lee SSL 115 943 0 03 May 2021
Towards Robust and Reliable Algorithmic Recourse Sohini Upadhyay Shalmali Joshi Himabindu Lakkaraju 62 110 0 26 Feb 2021
Understanding How Dimension Reduction Tools Work: An Empirical Approach to Deciphering t-SNE, UMAP, TriMAP, and PaCMAP for Data Visualization Yingfan Wang Haiyang Huang Cynthia Rudin Yaron Shaposhnik 249 315 0 08 Dec 2020
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization Dan Hendrycks Steven Basart Norman Mu Saurav Kadavath Frank Wang ... Samyak Parajuli Mike Guo Basel Alomair Jacob Steinhardt Justin Gilmer OOD 365 1,759 0 29 Jun 2020
Generalized and Scalable Optimal Sparse Decision Trees Jimmy J. Lin Chudi Zhong Diane Hu Cynthia Rudin Margo Seltzer 96 146 0 15 Jun 2020
Getting a CLUE: A Method for Explaining Uncertainty Estimates Javier Antorán Umang Bhatt T. Adel Adrian Weller José Miguel Hernández-Lobato UQCV BDL 94 116 0 11 Jun 2020
Actionable Recourse in Linear Classification Berk Ustun Alexander Spangher Yang Liu FaML 129 551 0 18 Sep 2018
This Looks Like That: Deep Learning for Interpretable Image Recognition Chaofan Chen Oscar Li Chaofan Tao A. Barnett Jonathan Su Cynthia Rudin 274 1,187 0 27 Jun 2018
SmoothGrad: removing noise by adding noise D. Smilkov Nikhil Thorat Been Kim F. Viégas Martin Wattenberg FAtt ODL 213 2,236 0 12 Jun 2017
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 1.1K 22,135 0 22 May 2017
Understanding Black-box Predictions via Influence Functions Pang Wei Koh Percy Liang TDI 232 2,910 0 14 Mar 2017
Axiomatic Attribution for Deep Networks Mukund Sundararajan Ankur Taly Qiqi Yan OOD FAtt 211 6,027 0 04 Mar 2017
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra FAtt 359 20,136 0 07 Oct 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.2K 17,092 0 16 Feb 2016
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,575 0 04 Sep 2014
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 328 7,321 0 20 Dec 2013
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances Marco Cuturi OT 222 4,294 0 04 Jun 2013