Troubling Trends in Machine Learning Scholarship

9 July 2018

Papers citing "Troubling Trends in Machine Learning Scholarship"

44 / 44 papers shown

Title
Causal Deep Learning M. Alex O. Vasilescu CML 62 2 1 03 Jan 2025
The ICML 2023 Ranking Experiment: Examining Author Self-Assessment in ML/AI Peer Review Buxin Su Jiayao Zhang Natalie Collina Yuling Yan Didong Li Kyunghyun Cho Jianqing Fan Aaron Roth Weijie J. Su 24 4 0 24 Aug 2024
AI Agents That Matter Sayash Kapoor Benedikt Stroebl Zachary S. Siegel Nitya Nadgir Arvind Narayanan 49 37 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 33 3 0 20 Feb 2023
A Major Obstacle for NLP Research: Let's Talk about Time Allocation! Katharina Kann Shiran Dudy Arya D. McCarthy 25 1 0 30 Nov 2022
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
Application of Graph Neural Networks and graph descriptors for graph classification J. Adamczyk FaML 24 5 0 07 Nov 2022
Stop Wasting My Time! Saving Days of ImageNet and BERT Training with Latest Weight Averaging Jean Kaddour MoMe 3DH 24 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 19 11 0 16 Aug 2022
Why do tree-based models still outperform deep learning on tabular data? Léo Grinsztajn Edouard Oyallon Gaël Varoquaux LMTD 35 357 0 18 Jul 2022
Comparing interpretation methods in mental state decoding analyses with deep learning models A. Thomas Christopher Ré R. Poldrack AI4CE 24 2 0 31 May 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 46 43 0 06 Apr 2022
GraphWorld: Fake Graphs Bring Real Insights for GNNs John Palowitch Anton Tsitsulin Brandon Mayer Bryan Perozzi GNN 195 68 0 28 Feb 2022
A brief history of AI: how to prevent another winter (a critical review) Amirhosein Toosi A. Bottino Babak Saboury E. Siegel Arman Rahmim 22 72 0 03 Sep 2021
Auctions and Peer Prediction for Academic Peer Review Siddarth Srinivasan Jamie Morgenstern 16 4 0 27 Aug 2021
GraphGen-Redux: a Fast and Lightweight Recurrent Model for labeled Graph Generation Marco Podda D. Bacciu BDL 30 9 0 18 Jul 2021
The Benchmark Lottery Mostafa Dehghani Yi Tay A. Gritsenko Zhe Zhao N. Houlsby Fernando Diaz Donald Metzler Oriol Vinyals 42 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 17 17 0 30 Jun 2021
The Values Encoded in Machine Learning Research Abeba Birhane Pratyusha Kalluri Dallas Card William Agnew Ravit Dotan Michelle Bao 38 274 0 29 Jun 2021
Deep Learning and Traffic Classification: Lessons learned from a commercial-grade dataset with hundreds of encrypted and zero-day applications Lixuan Yang A. Finamore Feng Jun Dario Rossi 22 47 0 07 Apr 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 32 94 0 19 Feb 2021
User Ex Machina : Simulation as a Design Probe in Human-in-the-Loop Text Analytics Anamaria Crisan M. Correll 17 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 25 54 0 13 Oct 2020
Aligning AI With Shared Human Values Dan Hendrycks Collin Burns Steven Basart Andrew Critch Jingkai Li D. Song Jacob Steinhardt 57 517 0 05 Aug 2020
Reevaluating Adversarial Examples in Natural Language John X. Morris Eli Lifland Jack Lanchantin Yangfeng Ji Yanjun Qi SILM AAML 20 111 0 25 Apr 2020
A Metric Learning Reality Check Kevin Musgrave Serge J. Belongie Ser-Nam Lim 59 475 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 15 196 0 18 Nov 2019
What Question Answering can Learn from Trivia Nerds Jordan L. Boyd-Graber Benjamin Borschinger 24 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 22 1 0 21 Sep 2019
Neural Text Summarization: A Critical Evaluation Wojciech Kry'sciñski N. Keskar Bryan McCann Caiming Xiong R. Socher 16 361 0 23 Aug 2019
Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift Yaniv Ovadia Emily Fertig Jie Jessie Ren Zachary Nado D. Sculley Sebastian Nowozin Joshua V. Dillon Balaji Lakshminarayanan Jasper Snoek UQCV 29 1,658 0 06 Jun 2019
The Machine Learning Bazaar: Harnessing the ML Ecosystem for Effective System Development Micah J. Smith Carles Sala Cladellas James Max Kanter K. Veeramachaneni 24 49 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 24 220 0 19 Mar 2019
No Training Required: Exploring Random Encoders for Sentence Classification John Wieting Douwe Kiela 20 98 0 29 Jan 2019
Ten ways to fool the masses with machine learning F. Minhas Amina Asif Asa Ben-Hur FedML HAI 16 5 0 07 Jan 2019
Avoiding a Tragedy of the Commons in the Peer Review Process D. Sculley Jasper Snoek Alexander B. Wiltschko 16 21 0 18 Dec 2018
A Survey and Critique of Multiagent Deep Reinforcement Learning Pablo Hernandez-Leal Bilal Kartal Matthew E. Taylor OffRL 32 550 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 23 297 0 06 Jun 2018
The Loss Surfaces of Multilayer Networks A. Choromańska Mikael Henaff Michaël Mathieu Gerard Ben Arous Yann LeCun ODL 183 1,185 0 30 Nov 2014