Title
Can a single neuron learn predictive uncertainty? Edgardo Solano-Carrillo UQCV 19 1 0 07 Jun 2021
Understanding and Improving Fairness-Accuracy Trade-offs in Multi-Task Learning Yuyan Wang Xuezhi Wang Alex Beutel Flavien Prost Jilin Chen Ed H. Chi FaML 19 46 0 04 Jun 2021
Fooling Partial Dependence via Data Poisoning Hubert Baniecki Wojciech Kretowicz P. Biecek AAML 21 23 0 26 May 2021
AI and Ethics -- Operationalising Responsible AI Liming Zhu Xiwei Xu Qinghua Lu Guido Governatori Jon Whittle 20 37 0 19 May 2021
Agree to Disagree: When Deep Learning Models With Identical Architectures Produce Distinct Explanations Matthew Watson Bashar Awwad Shiekh Hasan Noura Al Moubayed OOD 17 22 0 14 May 2021
XAI Handbook: Towards a Unified Framework for Explainable AI Sebastián M. Palacio Adriano Lucieri Mohsin Munir Jörn Hees Sheraz Ahmed Andreas Dengel 23 32 0 14 May 2021
Causally motivated Shortcut Removal Using Auxiliary Labels Maggie Makar Ben Packer D. Moldovan Davis W. Blalock Yoni Halpern Alexander DÁmour OOD CML 19 71 0 13 May 2021
Are Larger Pretrained Language Models Uniformly Better? Comparing Performance at the Instance Level Ruiqi Zhong Dhruba Ghosh Dan Klein Jacob Steinhardt 20 35 0 13 May 2021
How Reliable are Model Diagnostics? V. Aribandi Yi Tay Donald Metzler 16 19 0 12 May 2021
A neural anisotropic view of underspecification in deep learning Guillermo Ortiz-Jiménez I. Salazar-Reque Apostolos Modas Seyed-Mohsen Moosavi-Dezfooli P. Frossard 26 6 0 29 Apr 2021
Deep Learning Body Region Classification of MRI and CT examinations P. Raffy J. Pambrun Ashish Kumar David Dubois Jay W. Patti R. Cairns Ryan Young 16 8 0 28 Apr 2021
Do Feature Attribution Methods Correctly Attribute Features? Yilun Zhou Serena Booth Marco Tulio Ribeiro J. Shah FAtt XAI 22 132 0 27 Apr 2021
Bridging observation, theory and numerical simulation of the ocean using Machine Learning Maike Sonnewald Redouane Lguensat Daniel C. Jones P. Dueben J. Brajard Venkatramani Balaji AI4Cl AI4CE 38 99 0 26 Apr 2021
Breiman's two cultures: You don't have to choose sides Andrew C. Miller N. Foti E. Fox 20 11 0 25 Apr 2021
Patch Shortcuts: Interpretable Proxy Models Efficiently Find Black-Box Vulnerabilities Julia Rosenzweig Joachim Sicking Sebastian Houben Michael Mock Maram Akila AAML 16 3 0 22 Apr 2021
Uncertainty-Aware Boosted Ensembling in Multi-Modal Settings U. Sarawgi Rishab Khincha W. Zulfikar Satrajit S. Ghosh Pattie Maes UQCV 17 7 0 21 Apr 2021
Neural Networks for Learning Counterfactual G-Invariances from Single Environments S Chandra Mouli Bruno Ribeiro OOD 29 11 0 20 Apr 2021
On the Impact of Random Seeds on the Fairness of Clinical Classifiers Silvio Amir Jan Willem van de Meent Byron C. Wallace 11 14 0 13 Apr 2021
Understanding Prediction Discrepancies in Machine Learning Classifiers X. Renard Thibault Laugel Marcin Detyniecki FaML 29 12 0 12 Apr 2021
Predicting Inflation with Recurrent Neural Networks L. Paranhos AI4TS 66 4 0 08 Apr 2021
Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question Answering Corentin Dancette Rémi Cadène Damien Teney Matthieu Cord CML 26 74 0 07 Apr 2021
Revisiting Rashomon: A Comment on "The Two Cultures" Alexander DÁmour 26 5 0 05 Apr 2021
Alignment of Language Agents Zachary Kenton Tom Everitt Laura Weidinger Iason Gabriel Vladimir Mikulik G. Irving 14 157 0 26 Mar 2021
Contrasting Contrastive Self-Supervised Representation Learning Pipelines Klemen Kotar Gabriel Ilharco Ludwig Schmidt Kiana Ehsani Roozbeh Mottaghi SSL 17 45 0 25 Mar 2021
Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges Cynthia Rudin Chaofan Chen Zhi Chen Haiyang Huang Lesia Semenova Chudi Zhong FaML AI4CE LRM 43 650 0 20 Mar 2021
Contemplating real-world object classification Ali Borji OOD 11 9 0 08 Mar 2021
Size-Invariant Graph Representations for Graph Classification Extrapolations Beatrice Bevilacqua Yangze Zhou Bruno Ribeiro OOD 31 108 0 08 Mar 2021
Learning Transferable Visual Models From Natural Language Supervision Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 98 27,569 0 26 Feb 2021
Directional Bias Amplification Angelina Wang Olga Russakovsky 12 65 0 24 Feb 2021
Synthesizing Irreproducibility in Deep Networks R. Snapp G. Shamir OOD 14 10 0 21 Feb 2021
Learning Neural Network Subspaces Mitchell Wortsman Maxwell Horton Carlos Guestrin Ali Farhadi Mohammad Rastegari UQCV 11 85 0 20 Feb 2021
NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation M. Amgad Lamees A. Atteya Hagar Hussein K. Mohammed Ehab Hafiz ... Critical Care David Manthey Atlanta D. Neurology Lurie Cancer Center 32 73 0 18 Feb 2021
Counterfactual Generative Networks Axel Sauer Andreas Geiger OOD BDL CML 28 123 0 15 Jan 2021
Supervised Transfer Learning at Scale for Medical Imaging Basil Mustafa Aaron Loh Jan Freyberg Patricia MacWilliams Megan Wilson ... Shruthi Prabhakara Umesh Telang Alan Karthikesalingam N. Houlsby Vivek Natarajan LM&MA 9 67 0 14 Jan 2021
Contrastive Learning Improves Critical Event Prediction in COVID-19 Patients Tingyi Wanyan Hossein Honarvar S. Jaladanki Chengxi Zang Nidhi Naik ... Marinka Zitnik Ariful Azad Fei-Yue Wang Ying Ding Benjamin S. Glicksberg 11 0 0 11 Jan 2021
Self-Supervised Multimodal Domino: in Search of Biomarkers for Alzheimer's Disease A. Fedorov Tristan Sylvain Eloy P. T. Geenjaar Margaux Luck Lei Wu T. DeRamus Alex Kirilin Dmitry Bleklov Vince D. Calhoun Sergey Plis SSL 10 13 0 25 Dec 2020
WILDS: A Benchmark of in-the-Wild Distribution Shifts Pang Wei Koh Shiori Sagawa Henrik Marklund Sang Michael Xie Marvin Zhang ... A. Kundaje Emma Pierson Sergey Levine Chelsea Finn Percy Liang OOD 45 1,372 0 14 Dec 2020
I'm Sorry for Your Loss: Spectrally-Based Audio Distances Are Bad at Pitch Joseph P. Turian Max Henry 17 29 0 08 Dec 2020
Transdisciplinary AI Observatory -- Retrospective Analyses and Future-Oriented Contradistinctions Nadisha-Marie Aliman L. Kester Roman V. Yampolskiy 19 13 0 26 Nov 2020
Grafit: Learning fine-grained image representations with coarse labels Hugo Touvron Alexandre Sablayrolles Matthijs Douze Matthieu Cord Hervé Jégou SSL 17 68 0 25 Nov 2020
Interpretable and synergistic deep learning for visual explanation and statistical estimations of segmentation of disease features from medical images Sambuddha Ghosal Pratik Shah 9 7 0 11 Nov 2020
Learning Causal Semantic Representation for Out-of-Distribution Prediction Chang-Shu Liu Xinwei Sun Jindong Wang Haoyue Tang Tao Li Tao Qin Wei Chen Tie-Yan Liu CML OODD OOD 19 104 0 03 Nov 2020
Formalizing Trust in Artificial Intelligence: Prerequisites, Causes and Goals of Human Trust in AI Alon Jacovi Ana Marasović Tim Miller Yoav Goldberg 244 425 0 15 Oct 2020
When is invariance useful in an Out-of-Distribution Generalization problem ? Masanori Koyama Shoichiro Yamaguchi OOD 26 65 0 04 Aug 2020
Explainable Prediction of Text Complexity: The Missing Preliminaries for Text Simplification Cristina Garbacea Mengtian Guo Samuel Carton Qiaozhu Mei 6 27 0 31 Jul 2020
Can you tell? SSNet -- a Sagittal Stratum-inspired Neural Network Framework for Sentiment Analysis Apostol T. Vassilev Munawar Hasan Honglan Jin 19 1 0 23 Jun 2020
Technology Readiness Levels for AI & ML Alexander Lavin Ajay Sharma VLM 8 105 0 21 Jun 2020
Evaluation of deep convolutional neural networks in classifying human embryo images based on their morphological quality Prudhvi Thirumalaraju M. Kanakasabapathy C. Bormann Raghav Gupta Rohan Pooniwala H. Kandula I. Souter I. Dimitriadis H. Shafiee 3DH 17 44 0 21 May 2020
How Can We Accelerate Progress Towards Human-like Linguistic Generalization? Tal Linzen 218 188 0 03 May 2020
On the Existence of Simpler Machine Learning Models Lesia Semenova Cynthia Rudin Ronald E. Parr 11 85 0 05 Aug 2019