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Data Representativity for Machine Learning and AI Systems

9 March 2022

Papers citing "Data Representativity for Machine Learning and AI Systems"

21 / 21 papers shown

Title
United in Diversity? Contextual Biases in LLM-Based Predictions of the 2024 European Parliament Elections Leah von der Heyde Anna Haensch Alexander Wenz Bolei Ma 136 2 0 29 Aug 2024
Sampling To Improve Predictions For Underrepresented Observations In Imbalanced Data R. Kjærsgaard Manja G. Grønberg Line H. Clemmensen AI4TS 26 4 0 17 Nov 2021
SynthBio: A Case Study in Human-AI Collaborative Curation of Text Datasets Ann Yuan Daphne Ippolito Vitaly Nikolaev Chris Callison-Burch Andy Coenen Sebastian Gehrmann SyDa 181 23 0 11 Nov 2021
HumBugDB: A Large-scale Acoustic Mosquito Dataset Ivan Kiskin Marianne E. Sinka Adam D. Cobb Waqas Rafique Lawrence Wang ... E. Kaindoa G. Killeen Eva Herreros-Moya Katherine J. Willis Stephen J. Roberts 85 28 0 14 Oct 2021
Chaos as an interpretable benchmark for forecasting and data-driven modelling W. Gilpin AI4TS 65 82 0 11 Oct 2021
PASS: An ImageNet replacement for self-supervised pretraining without humans Yuki M. Asano Christian Rupprecht Andrew Zisserman Andrea Vedaldi VLM SSL 100 58 0 27 Sep 2021
Generating Datasets of 3D Garments with Sewing Patterns Maria Korosteleva Sung-Hee Lee 93 39 0 12 Sep 2021
AP-10K: A Benchmark for Animal Pose Estimation in the Wild Hang Yu Yufei Xu Jing Zhang Wei Zhao Ziyu Guan Dacheng Tao 86 113 0 28 Aug 2021
A Dataset for Answering Time-Sensitive Questions Wenhu Chen Xinyi Wang Wenjie Wang 112 130 0 13 Aug 2021
An Extensible Benchmark Suite for Learning to Simulate Physical Systems Karl Otness Arvi Gjoka Joan Bruna Daniele Panozzo Benjamin Peherstorfer T. Schneider Denis Zorin 87 23 0 09 Aug 2021
Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks A. Malinin Neil Band Ganshin Alexander German Chesnokov ... Roginskiy Denis Mariya Shmatova Panos Tigas Boris Yangel UQCV OOD 98 131 0 15 Jul 2021
Synthetic Benchmarks for Scientific Research in Explainable Machine Learning Yang Liu Sujay Khandagale Colin White Willie Neiswanger 107 67 0 23 Jun 2021
Implementing Fair Regression In The Real World Boris Ruf Marcin Detyniecki 33 1 0 09 Apr 2021
Towards Fairer Datasets: Filtering and Balancing the Distribution of the People Subtree in the ImageNet Hierarchy Kaiyu Yang Klint Qinami Li Fei-Fei Jia Deng Olga Russakovsky 132 323 0 16 Dec 2019
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data Mikaela Angelina Uy Quang Pham Binh-Son Hua D. Nguyen Sai-Kit Yeung 3DV 3DPC 125 785 0 13 Aug 2019
An Underwater Image Enhancement Benchmark Dataset and Beyond Chongyi Li Chunle Guo Wenqi Ren Runmin Cong Junhui Hou Sam Kwong Dacheng Tao 3DV 86 1,289 0 11 Jan 2019
No Classification without Representation: Assessing Geodiversity Issues in Open Data Sets for the Developing World S. Shankar Yoni Halpern Eric Breck James Atwood Jimbo Wilson D. Sculley 78 297 0 22 Nov 2017
PRM-RL: Long-range Robotic Navigation Tasks by Combining Reinforcement Learning and Sampling-based Planning Aleksandra Faust Oscar Ramirez Marek Fiser Kenneth Oslund Anthony G. Francis James Davidson Lydia Tapia 82 292 0 11 Oct 2017
Equality of Opportunity in Supervised Learning Moritz Hardt Eric Price Nathan Srebro FaML 236 4,341 0 07 Oct 2016
Learning Mixtures of Submodular Shells with Application to Document Summarization Hui-Ching Lin J. Bilmes 96 192 0 16 Oct 2012
Determinantal point processes for machine learning Alex Kulesza B. Taskar 274 1,140 0 25 Jul 2012