Title
Optimal Activation Functions for the Random Features Regression Model Jianxin Wang José Bento 18 3 0 31 May 2022
Segmentation Consistency Training: Out-of-Distribution Generalization for Medical Image Segmentation Birk Torpmann-Hagen Vajira Thambawita K. Glette P. Halvorsen Michael A. Riegler 14 3 0 30 May 2022
Grid HTM: Hierarchical Temporal Memory for Anomaly Detection in Videos V. Monakhov Vajira Thambawita P. Halvorsen Michael A. Riegler AI4TS 12 0 0 30 May 2022
Diverse Weight Averaging for Out-of-Distribution Generalization Alexandre Ramé Matthieu Kirchmeyer Thibaud Rahier A. Rakotomamonjy Patrick Gallinari Matthieu Cord OOD 191 128 0 19 May 2022
Robust and Efficient Medical Imaging with Self-Supervision Shekoofeh Azizi Laura J. Culp Jan Freyberg Basil Mustafa Sebastien Baur ... Geoffrey E. Hinton N. Houlsby Alan Karthikesalingam Mohammad Norouzi Vivek Natarajan OOD 63 58 0 19 May 2022
Evaluation Gaps in Machine Learning Practice Ben Hutchinson Negar Rostamzadeh Christina Greer Katherine A. Heller Vinodkumar Prabhakaran ELM 20 56 0 11 May 2022
Do Different Deep Metric Learning Losses Lead to Similar Learned Features? Konstantin Kobs M. Steininger Andrzej Dulny Andreas Hotho 14 7 0 05 May 2022
Medical Coding with Biomedical Transformer Ensembles and Zero/Few-shot Learning Angelo Ziletti A. Akbik Christoph Berns T. Herold Marion Legler Martina Viell MedIm 11 8 0 01 May 2022
Google Scanned Objects: A High-Quality Dataset of 3D Scanned Household Items Laura Downs Anthony G. Francis Nate Koenig Brandon Kinman R. Hickman Krista Reymann T. B. McHugh Vincent Vanhoucke LM&Ro 22 471 0 25 Apr 2022
Improving the Generalizability of Depression Detection by Leveraging Clinical Questionnaires Thong Nguyen Andrew Yates Ayah Zirikly Bart Desmet Arman Cohan AI4MH 17 52 0 21 Apr 2022
On the Influence of Explainable AI on Automation Bias Max Schemmer Niklas Kühl Carina Benz G. Satzger 20 28 0 19 Apr 2022
Active Learning Helps Pretrained Models Learn the Intended Task Alex Tamkin Dat Nguyen Salil Deshpande Jesse Mu Noah D. Goodman 18 35 0 18 Apr 2022
Overparameterized Linear Regression under Adversarial Attacks Antônio H. Ribeiro Thomas B. Schon AAML 12 18 0 13 Apr 2022
Experimental Standards for Deep Learning in Natural Language Processing Research Dennis Ulmer Elisa Bassignana Max Müller-Eberstein Daniel Varab Mike Zhang Rob van der Goot Christian Hardmeier Barbara Plank 19 10 0 13 Apr 2022
Reducing Model Jitter: Stable Re-training of Semantic Parsers in Production Environments Christopher Hidey Fei Liu Rahul Goel 11 4 0 10 Apr 2022
Lifelong Self-Adaptation: Self-Adaptation Meets Lifelong Machine Learning Omid Gheibi Danny Weyns CLL 18 21 0 04 Apr 2022
Feature robustness and sex differences in medical imaging: a case study in MRI-based Alzheimer's disease detection Eike Petersen Aasa Feragen Maria Luise da Costa Zemsch A. Henriksen Oskar Eiler Wiese Christensen M. Ganz OOD 6 27 0 04 Apr 2022
Testing Feedforward Neural Networks Training Programs Houssem Ben Braiek Foutse Khomh AAML 11 14 0 01 Apr 2022
RobIn: A Robust Interpretable Deep Network for Schizophrenia Diagnosis Daniel Organisciak Hubert P. H. Shum E. Nwoye Wai Lok Woo OOD 6 19 0 31 Mar 2022
Structurally Diverse Sampling for Sample-Efficient Training and Comprehensive Evaluation Shivanshu Gupta Sameer Singh Matt Gardner 45 7 0 16 Mar 2022
Dawn of the transformer era in speech emotion recognition: closing the valence gap Johannes Wagner Andreas Triantafyllopoulos H. Wierstorf Maximilian Schmitt Felix Burkhardt F. Eyben Björn W. Schuller 8 281 0 14 Mar 2022
The worst of both worlds: A comparative analysis of errors in learning from data in psychology and machine learning Jessica Hullman Sayash Kapoor Priyanka Nanayakkara Andrew Gelman Arvind Narayanan 22 39 0 12 Mar 2022
Climate Change & Computer Audition: A Call to Action and Overview on Audio Intelligence to Help Save the Planet Björn W. Schuller Ali Akman Yi-Fen Chang H. Coppock Alexander Gebhard Alexander Kathan Esther Rituerto-González Andreas Triantafyllopoulos Florian B. Pokorny 28 1 0 10 Mar 2022
Margin-distancing for safe model explanation Tom Yan Chicheng Zhang 28 3 0 23 Feb 2022
A Classical-Quantum Convolutional Neural Network for Detecting Pneumonia from Chest Radiographs V. Kulkarni S. Pawale A. Kharat 19 12 0 19 Feb 2022
Predicting on the Edge: Identifying Where a Larger Model Does Better Taman Narayan Heinrich Jiang Sen Zhao Surinder Kumar 15 7 0 15 Feb 2022
Real World Large Scale Recommendation Systems Reproducibility and Smooth Activations G. Shamir Dong Lin HAI OffRL 15 6 0 14 Feb 2022
Reproducibility in Optimization: Theoretical Framework and Limits Kwangjun Ahn Prateek Jain Ziwei Ji Satyen Kale Praneeth Netrapalli G. Shamir 17 22 0 09 Feb 2022
Generative multitask learning mitigates target-causing confounding Taro Makino Krzysztof J. Geras Kyunghyun Cho OOD 11 6 0 08 Feb 2022
Diversify and Disambiguate: Learning From Underspecified Data Yoonho Lee Huaxiu Yao Chelsea Finn 203 64 0 07 Feb 2022
Mapping DNN Embedding Manifolds for Network Generalization Prediction Molly O'Brien Julia V. Bukowski Mathias Unberath Aria Pezeshk Gregory Hager AI4CE 15 0 0 03 Feb 2022
Diagnosing failures of fairness transfer across distribution shift in real-world medical settings Jessica Schrouff Natalie Harris Oluwasanmi Koyejo Ibrahim M. Alabdulmohsin Eva Schnider ... Vivek Natarajan Alan Karthikesalingam Katherine A. Heller Silvia Chiappa Alexander DÁmour OOD 51 53 0 02 Feb 2022
Datamodels: Predicting Predictions from Training Data Andrew Ilyas Sung Min Park Logan Engstrom Guillaume Leclerc A. Madry TDI 33 130 0 01 Feb 2022
Holistic Fine-grained GGS Characterization: From Detection to Unbalanced Classification Yuzhe Lu Haichun Yang Zuhayr Asad Zheyu Zhu Tianyuan Yao Jiachen Xu Agnes B. Fogo Yuankai Huo 11 1 0 31 Jan 2022
Rank List Sensitivity of Recommender Systems to Interaction Perturbations Sejoon Oh Berk Ustun Julian McAuley Srijan Kumar 20 34 0 29 Jan 2022
Deep Learning Methods for Abstract Visual Reasoning: A Survey on Raven's Progressive Matrices Mikolaj Malkiñski Jacek Mañdziuk 114 41 0 28 Jan 2022
A Survey on Visual Transfer Learning using Knowledge Graphs Sebastian Monka Lavdim Halilaj Achim Rettinger 19 23 0 27 Jan 2022
Addressing Bias in Active Learning with Depth Uncertainty Networks... or Not Chelsea Murray J. Allingham Javier Antorán José Miguel Hernández-Lobato AI4CE 14 4 0 13 Dec 2021
Depth Uncertainty Networks for Active Learning Chelsea Murray J. Allingham Javier Antorán José Miguel Hernández-Lobato UQCV AI4CE 20 2 0 13 Dec 2021
Analysis and Prediction of NLP Models Via Task Embeddings Damien Sileo Marie-Francine Moens 22 3 0 10 Dec 2021
Tradeoffs Between Contrastive and Supervised Learning: An Empirical Study A. Karthik Mike Wu Noah D. Goodman Alex Tamkin SSL 24 5 0 10 Dec 2021
What I Cannot Predict, I Do Not Understand: A Human-Centered Evaluation Framework for Explainability Methods Julien Colin Thomas Fel Rémi Cadène Thomas Serre 25 101 0 06 Dec 2021
Physically Consistent Neural Networks for building thermal modeling: theory and analysis L. D. Natale B. Svetozarevic Philipp Heer Colin N. Jones PINN AI4CE 52 83 0 06 Dec 2021
Thinking Beyond Distributions in Testing Machine Learned Models Negar Rostamzadeh B. Hutchinson Christina Greer Vinodkumar Prabhakaran TTA 32 6 0 06 Dec 2021
Toward a Taxonomy of Trust for Probabilistic Machine Learning Tamara Broderick Andrew Gelman Rachael Meager Anna L. Smith Tian Zheng 21 9 0 05 Dec 2021
A Structured Dictionary Perspective on Implicit Neural Representations Gizem Yüce Guillermo Ortiz-Jiménez Beril Besbinar P. Frossard 24 86 0 03 Dec 2021
Reduced, Reused and Recycled: The Life of a Dataset in Machine Learning Research Bernard Koch Emily L. Denton A. Hanna J. Foster 28 139 0 03 Dec 2021
Equitable modelling of brain imaging by counterfactual augmentation with morphologically constrained 3D deep generative models Guilherme Pombo Robert J. Gray M. Jorge Cardoso Sebastien Ourselin G. Rees John Ashburner P. Nachev 29 16 0 29 Nov 2021
Agility in Software 2.0 -- Notebook Interfaces and MLOps with Buttresses and Rebars Markus Borg 9 13 0 28 Nov 2021
Exploration of Dark Chemical Genomics Space via Portal Learning: Applied to Targeting the Undruggable Genome and COVID-19 Anti-Infective Polypharmacology Tian Cai Li Xie Muge Chen Yang Liu Di He Shuo-feng Zhang C. Mura P. Bourne Lei Xie OOD 17 4 0 23 Nov 2021