Title
On the Mistaken Assumption of Interchangeable Deep Reinforcement Learning Implementations Rajdeep Singh Hundal Yan Xiao Xiaochun Cao Jin Song Dong Manuel Rigger 48 0 0 28 Mar 2025
Crash Severity Analysis of Child Bicyclists using Arm-Net and MambaNet Shriyank Somvanshi Rohit Chakraborty Subasish Das Anandi K Dutta 40 1 0 14 Mar 2025
The Curious Case of Arbitrariness in Machine Learning Prakhar Ganesh Afaf Taik G. Farnadi 59 2 0 28 Jan 2025
Pfungst and Clever Hans: Identifying the unintended cues in a widely used Alzheimer's disease MRI dataset using explainable deep learning C. Tinauer Maximilian Sackl Rudolf Stollberger Stefan Ropele C. Langkammer AAML 40 0 0 27 Jan 2025
Benchmark Data Repositories for Better Benchmarking Rachel Longjohn Markelle Kelly Sameer Singh Padhraic Smyth 46 0 0 31 Oct 2024
Public Domain 12M: A Highly Aesthetic Image-Text Dataset with Novel Governance Mechanisms Jordan Meyer Nick Padgett Cullen Miller Laura Exline 31 4 0 30 Oct 2024
Measuring and Controlling Solution Degeneracy across Task-Trained Recurrent Neural Networks Ann Huang Satpreet H. Singh Kanaka Rajan 24 0 0 04 Oct 2024
Confidence intervals uncovered: Are we ready for real-world medical imaging AI? Evangelia Christodoulou Annika Reinke Rola Houhou P. Kalinowski Selen Erkan ... Paul F. Jäger Annette Kopp-Schneider Gaël Varoquaux O. Colliot Lena Maier-Hein OOD 31 3 0 26 Sep 2024
Revisiting Static Feature-Based Android Malware Detection Md Tanvirul Alam Dipkamal Bhusal Nidhi Rastogi AAML 35 0 0 11 Sep 2024
IIFE: Interaction Information Based Automated Feature Engineering Tom Overman Diego Klabjan J. Utke 24 1 0 07 Sep 2024
The Influence of Faulty Labels in Data Sets on Human Pose Estimation Arnold Schwarz Levente Hernadi Felix Bießmann Kristian Hildebrand 42 0 0 05 Sep 2024
Deep Learning for Network Anomaly Detection under Data Contamination: Evaluating Robustness and Mitigating Performance Degradation D'Jeff K. Nkashama Jordan Masakuna Félicien Arian Soltani Jean-Charles Verdier Pierre Martin Tardif Marc Frappier F. Kabanza AAML 32 1 0 11 Jul 2024
Generalizability of experimental studies Federico Matteucci Vadim Arzamasov Jose Cribeiro-Ramallo Marco Heyden Konstantin Ntounas Klemens Bohm 50 0 0 25 Jun 2024
CoDreamer: Communication-Based Decentralised World Models Edan Toledo Amanda Prorok 43 0 0 19 Jun 2024
Learning from Uncertain Data: From Possible Worlds to Possible Models Jiongli Zhu Su Feng Boris Glavic Babak Salimi 37 0 0 28 May 2024
Reshuffling Resampling Splits Can Improve Generalization of Hyperparameter Optimization Thomas Nagler Lennart Schneider B. Bischl Matthias Feurer 45 2 0 24 May 2024
Reinforcing Language Agents via Policy Optimization with Action Decomposition Muning Wen Bo Liu Weinan Zhang Jun Wang Ying Wen 46 8 0 23 May 2024
Good Seed Makes a Good Crop: Discovering Secret Seeds in Text-to-Image Diffusion Models Katherine Xu Lingzhi Zhang Jianbo Shi 43 12 0 23 May 2024
Position: Why We Must Rethink Empirical Research in Machine Learning Moritz Herrmann F. J. D. Lange Katharina Eggensperger Giuseppe Casalicchio Marcel Wever Matthias Feurer David Rügamer Eyke Hüllermeier A. Boulesteix Bernd Bischl 55 6 0 03 May 2024
Explainable concept mappings of MRI: Revealing the mechanisms underlying deep learning-based brain disease classification C. Tinauer A. Damulina Maximilian Sackl M. Soellradl Reduan Achtibat ... Sebastian Lapuschkin Reinhold Schmidt Stefan Ropele Wojciech Samek C. Langkammer FAtt 35 1 0 16 Apr 2024
On Sensitivity of Learning with Limited Labelled Data to the Effects of Randomness: Impact of Interactions and Systematic Choices Branislav Pecher Ivan Srba Maria Bielikova 69 3 0 20 Feb 2024
SPO: Sequential Monte Carlo Policy Optimisation Matthew Macfarlane Edan Toledo Donal Byrne Paul Duckworth Alexandre Laterre 30 1 0 12 Feb 2024
Entropy-Regularized Token-Level Policy Optimization for Language Agent Reinforcement Muning Wen Junwei Liao Cheng Deng Jun Wang Weinan Zhang Ying Wen 28 1 0 09 Feb 2024
Calibration-then-Calculation: A Variance Reduced Metric Framework in Deep Click-Through Rate Prediction Models Yewen Fan Nian Si Xiangchen Song Kun Zhang 18 0 0 30 Jan 2024
Evaluation of pseudo-healthy image reconstruction for anomaly detection with deep generative models: Application to brain FDG PET Ravi Hassanaly Camille Brianceau Maelys Solal O. Colliot Ninon Burgos MedIm 38 5 0 29 Jan 2024
Faster ISNet for Background Bias Mitigation on Deep Neural Networks P. R. Bassi S. Decherchi Andrea Cavalli 25 0 0 16 Jan 2024
Small Effect Sizes in Malware Detection? Make Harder Train/Test Splits! Tirth Patel Fred Lu Edward Raff Charles K. Nicholas Cynthia Matuszek James Holt 35 3 0 25 Dec 2023
On The Fairness Impacts of Hardware Selection in Machine Learning Sree Harsha Nelaturu Nishaanth Kanna Ravichandran Cuong Tran Sara Hooker Ferdinando Fioretto 53 2 0 06 Dec 2023
Elo Uncovered: Robustness and Best Practices in Language Model Evaluation M. Boubdir Edward Kim Beyza Ermis Sara Hooker Marzieh Fadaee ELM 27 35 0 29 Nov 2023
Reproducibility in Multiple Instance Learning: A Case For Algorithmic Unit Tests Edward Raff James Holt 27 3 0 27 Oct 2023
Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model Karsten Roth Lukas Thede Almut Sophia Koepke Oriol Vinyals Olivier J. Hénaff Zeynep Akata AAML 30 12 0 26 Oct 2023
Variance of ML-based software fault predictors: are we really improving fault prediction? Xhulja Shahini Domenic Bubel Andreas Metzger AAML 16 1 0 26 Oct 2023
Target Variable Engineering Jessica Clark 35 0 0 13 Oct 2023
Robust Nonparametric Hypothesis Testing to Understand Variability in Training Neural Networks Sinjini Banerjee Reilly Cannon Tim Marrinan Tony Chiang Anand D. Sarwate OOD 26 0 0 01 Oct 2023
REFORMS: Reporting Standards for Machine Learning Based Science Sayash Kapoor Emily F. Cantrell Kenny Peng Thanh Hien Pham C. Bail ... Matthew J. Salganik Marta Serra-Garcia Brandon M Stewart Gilles Vandewiele Arvind Narayanan 10 19 0 15 Aug 2023
Model Reporting for Certifiable AI: A Proposal from Merging EU Regulation into AI Development Danilo Brajovic Niclas Renner Vincent Philipp Goebels Philipp Wagner Benjamin Frész M. Biller Mara Klaeb Janika Kutz Jens Neuhuettler Marco F. Huber 19 9 0 21 Jul 2023
Confidence Intervals for Performance Estimates in Brain MRI Segmentation Rosana El Jurdi Gaël Varoquaux O. Colliot 14 1 0 20 Jul 2023
A benchmark of categorical encoders for binary classification Federico Matteucci Vadim Arzamasov Klemens Boehm ELM 26 4 0 17 Jul 2023
GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection Jianheng Tang Fengrui Hua Zi-Chao Gao P. Zhao Jia Li 27 55 0 21 Jun 2023
Improving Convergence and Generalization Using Parameter Symmetries Bo Zhao Robert Mansel Gower Robin Walters Rose Yu MoMe 33 13 0 22 May 2023
A benchmark for computational analysis of animal behavior, using animal-borne tags Benjamin Hoffman M. Cusimano V. Baglione D. Canestrari D. Chevallier ... O. Vainio A. Vehkaoja Ken Yoda Katie Zacarian A. Friedlaender 25 7 0 18 May 2023
Large Language Models for Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering Noah Hollmann Samuel G. Müller Frank Hutter 45 53 0 05 May 2023
Time Series Classification for Detecting Parkinson's Disease from Wrist Motions Cedric Donié Neha Das Satoshi Endo Sandra Hirche 18 1 0 21 Apr 2023
The Dataset Multiplicity Problem: How Unreliable Data Impacts Predictions Anna P. Meyer Aws Albarghouthi Loris Dántoni 30 13 0 20 Apr 2023
On the Variance of Neural Network Training with respect to Test Sets and Distributions Keller Jordan OOD 24 11 0 04 Apr 2023
Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML Hilde J. P. Weerts Florian Pfisterer Matthias Feurer Katharina Eggensperger Eddie Bergman Noor H. Awad Joaquin Vanschoren Mykola Pechenizkiy B. Bischl Frank Hutter FaML 41 18 0 15 Mar 2023
Accounting for multiplicity in machine learning benchmark performance Kajsa Møllersen Einar J. Holsbø 9 2 0 10 Mar 2023
Towards Inferential Reproducibility of Machine Learning Research Michael Hagmann Philipp Meier Stefan Riezler 29 2 0 08 Feb 2023
How to select predictive models for causal inference? M. Doutreligne Gaël Varoquaux ELM CML 29 2 0 01 Feb 2023
A Coreset Learning Reality Check Fred Lu Edward Raff James Holt 24 5 0 15 Jan 2023