Troubling Trends in Machine Learning Scholarship

9 July 2018

Papers citing "Troubling Trends in Machine Learning Scholarship"

34 / 34 papers shown

Title
Causal Deep Learning M. Alex O. Vasilescu CML 54 2 1 03 Jan 2025
AI Agents That Matter Sayash Kapoor Benedikt Stroebl Zachary S. Siegel Nitya Nadgir Arvind Narayanan 49 34 0 01 Jul 2024
InfFeed: Influence Functions as a Feedback to Improve the Performance of Subjective Tasks Somnath Banerjee Maulindu Sarkar Punyajoy Saha Binny Mathew Animesh Mukherjee TDI 34 0 0 22 Feb 2024
A Two-Sided Discussion of Preregistration of NLP Research Anders Søgaard Daniel Hershcovich Miryam de Lhoneux OnRL AI4CE 28 3 0 20 Feb 2023
A Call to Reflect on Evaluation Practices for Failure Detection in Image Classification Paul F. Jaeger Carsten T. Lüth Lukas Klein Till J. Bungert UQCV 26 35 0 28 Nov 2022
Stop Wasting My Time! Saving Days of ImageNet and BERT Training with Latest Weight Averaging Jean Kaddour MoMe 3DH 19 39 0 29 Sep 2022
Machine Learning-Based Test Smell Detection Valeria Pontillo Dario Amoroso dÁragona Fabiano Pecorelli Dario Di Nucci F. Ferrucci Fabio Palomba 9 11 0 16 Aug 2022
Why do tree-based models still outperform deep learning on tabular data? Léo Grinsztajn Edouard Oyallon Gaël Varoquaux LMTD 22 355 0 18 Jul 2022
A Siren Song of Open Source Reproducibility Edward Raff Andrew L. Farris 16 9 0 09 Apr 2022
Marrying Fairness and Explainability in Supervised Learning Przemyslaw A. Grabowicz Nicholas Perello Aarshee Mishra FaML 38 43 0 06 Apr 2022
Auctions and Peer Prediction for Academic Peer Review Siddarth Srinivasan Jamie Morgenstern 8 4 0 27 Aug 2021
GraphGen-Redux: a Fast and Lightweight Recurrent Model for labeled Graph Generation Marco Podda D. Bacciu BDL 25 9 0 18 Jul 2021
The Benchmark Lottery Mostafa Dehghani Yi Tay A. Gritsenko Zhe Zhao N. Houlsby Fernando Diaz Donald Metzler Oriol Vinyals 34 89 0 14 Jul 2021
Using AntiPatterns to avoid MLOps Mistakes Nikhil Muralidhar Sathappah Muthiah P. Butler Manish Jain Yu Yu ... Weipeng Li David Jones P. Arunachalam Hays Mccormick Naren Ramakrishnan 9 17 0 30 Jun 2021
The Values Encoded in Machine Learning Research Abeba Birhane Pratyusha Kalluri Dallas Card William Agnew Ravit Dotan Michelle Bao 25 273 0 29 Jun 2021
A Review of Biomedical Datasets Relating to Drug Discovery: A Knowledge Graph Perspective Stephen Bonner Ian P Barrett Cheng Ye Rowan Swiers O. Engkvist A. Bender Charles Tapley Hoyt William L. Hamilton 24 94 0 19 Feb 2021
User Ex Machina : Simulation as a Design Probe in Human-in-the-Loop Text Analytics Anamaria Crisan M. Correll 10 10 0 06 Jan 2021
ReviewRobot: Explainable Paper Review Generation based on Knowledge Synthesis Qingyun Wang Qi Zeng Lifu Huang Kevin Knight Heng Ji Nazneen Rajani 22 53 0 13 Oct 2020
Aligning AI With Shared Human Values Dan Hendrycks Collin Burns Steven Basart Andrew Critch J. Li D. Song Jacob Steinhardt 32 515 0 05 Aug 2020
A Metric Learning Reality Check Kevin Musgrave Serge J. Belongie Ser-Nam Lim 36 474 0 18 Mar 2020
A Hierarchy of Limitations in Machine Learning M. Malik 15 55 0 12 Feb 2020
A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research Maurizio Ferrari Dacrema Simone Boglio Paolo Cremonesi Dietmar Jannach 13 196 0 18 Nov 2019
What Question Answering can Learn from Trivia Nerds Jordan L. Boyd-Graber Benjamin Borschinger 16 36 0 31 Oct 2019
DECoVaC: Design of Experiments with Controlled Variability Components Thomas Boquet Laure Delisle Denis Kochetkov Nathan Schucher Parmida Atighehchian Boris N. Oreshkin Julien Cornebise 16 1 0 21 Sep 2019
Neural Text Summarization: A Critical Evaluation Wojciech Kry'sciñski N. Keskar Bryan McCann Caiming Xiong R. Socher 11 360 0 23 Aug 2019
The Machine Learning Bazaar: Harnessing the ML Ecosystem for Effective System Development Micah J. Smith Carles Sala Cladellas James Max Kanter K. Veeramachaneni 22 48 0 22 May 2019
The Scientific Method in the Science of Machine Learning Jessica Zosa Forde Michela Paganini 24 35 0 24 Apr 2019
HARK Side of Deep Learning -- From Grad Student Descent to Automated Machine Learning O. Gencoglu M. Gils E. Guldogan Chamin Morikawa Mehmet Süzen M. Gruber J. Leinonen H. Huttunen 11 36 0 16 Apr 2019
What the Constant Velocity Model Can Teach Us About Pedestrian Motion Prediction Christoph Schöller Vincent Aravantinos F. Lay Alois C. Knoll 19 219 0 19 Mar 2019
Ten ways to fool the masses with machine learning F. Minhas Amina Asif Asa Ben-Hur FedML HAI 11 5 0 07 Jan 2019
Avoiding a Tragedy of the Commons in the Peer Review Process D. Sculley Jasper Snoek Alexander B. Wiltschko 13 21 0 18 Dec 2018
A Survey and Critique of Multiagent Deep Reinforcement Learning Pablo Hernandez-Leal Bilal Kartal Matthew E. Taylor OffRL 30 549 0 12 Oct 2018
Why rankings of biomedical image analysis competitions should be interpreted with care Lena Maier-Hein Matthias Eisenmann Annika Reinke Sinan Onogur Marko Stankovic ... Ching-Wei Wang M. Weber G. Zheng Pierre Jannin A. Kopp-Schneider 13 297 0 06 Jun 2018
The Loss Surfaces of Multilayer Networks A. Choromańska Mikael Henaff Michaël Mathieu Gerard Ben Arous Yann LeCun ODL 179 1,185 0 30 Nov 2014