Title
Mixture Manifold Networks: A Computationally Efficient Baseline for Inverse Modeling Gregory P. Spell Simiao Ren L. Collins Jordan M. Malof 19 1 0 25 Nov 2022
Lempel-Ziv Networks Rebecca Saul Mohammad Mahmudul Alam John Hurwitz Edward Raff Tim Oates James Holt 26 2 0 23 Nov 2022
BiasBed -- Rigorous Texture Bias Evaluation Nikolai Kalischek Rodrigo Caye Daudt T. Peters Reinhard Furrer Jan Dirk Wegner Konrad Schindler 21 2 0 23 Nov 2022
Policy Gradient With Serial Markov Chain Reasoning Edoardo Cetin Oya Celiktutan BDL LRM 24 2 0 13 Oct 2022
Deep Reinforcement Learning for Cryptocurrency Trading: Practical Approach to Address Backtest Overfitting Berend Gort Xiao-Yang Liu Xinghang Sun Jiechao Gao Shuai Chen Chris Wang 32 13 0 12 Sep 2022
Reproducibility in machine learning for medical imaging O. Colliot Elina Thibeau-Sutre Ninon Burgos OOD 30 8 0 12 Sep 2022
Autism spectrum disorder classification based on interpersonal neural synchrony: Can classification be improved by dyadic neural biomarkers using unsupervised graph representation learning? C. Gerloff K. Konrad Jana A. Kruppa M. Schulte-Rüther Vanessa Reindl 27 4 0 17 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
Robustness Evaluation of Deep Unsupervised Learning Algorithms for Intrusion Detection Systems D'Jeff K. Nkashama Ariana Soltani Jean-Charles Verdier Marc Frappier Pierre-Marting Tardif F. Kabanza OOD AAML 29 5 0 25 Jun 2022
Do we need Label Regularization to Fine-tune Pre-trained Language Models? I. Kobyzev A. Jafari Mehdi Rezagholizadeh Tianda Li Alan Do-Omri Peng Lu Pascal Poupart A. Ghodsi 30 2 0 25 May 2022
Integrating Reward Maximization and Population Estimation: Sequential Decision-Making for Internal Revenue Service Audit Selection Peter Henderson Ben Chugg Brandon R. Anderson Kristen M. Altenburger Alex Turk J. Guyton Jacob Goldin Daniel E. Ho OffRL 20 9 0 25 Apr 2022
A Revealing Large-Scale Evaluation of Unsupervised Anomaly Detection Algorithms Maxime Alvarez Jean-Charles Verdier D'Jeff K. Nkashama Marc Frappier Pierre Martin Tardif F. Kabanza 26 17 0 21 Apr 2022
Sources of Irreproducibility in Machine Learning: A Review Odd Erik Gundersen Kevin Coakley Christine R. Kirkpatrick Yolanda Gil SyDa 27 33 0 15 Apr 2022
deep-significance - Easy and Meaningful Statistical Significance Testing in the Age of Neural Networks Dennis Ulmer Christian Hardmeier J. Frellsen 48 42 0 14 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
Machine Learning State-of-the-Art with Uncertainties Peter Steinbach Felicita Gernhardt Mahnoor Tanveer Steve Schmerler Sebastian Starke UQCV OOD 22 3 0 11 Apr 2022
A Siren Song of Open Source Reproducibility Edward Raff Andrew L. Farris 16 9 0 09 Apr 2022
Does the Market of Citations Reward Reproducible Work? Edward Raff HAI CML 20 12 0 08 Apr 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 33 39 0 12 Mar 2022
Spatial State-Action Features for General Games Dennis J. N. J. Soemers Éric Piette Matthew Stephenson C. Browne 63 4 0 17 Jan 2022
Empirical Evaluation of Deep Learning Models for Knowledge Tracing: Of Hyperparameters and Metrics on Performance and Replicability Sami Sarsa Juho Leinonen Arto Hellas 19 13 0 30 Dec 2021
Ten years of image analysis and machine learning competitions in dementia Esther E. Bron S. Klein Annika Reinke J. Papma Lena Maier-Hein Daniel C. Alexander N. Oxtoby OOD 27 15 0 15 Dec 2021
DR3: Value-Based Deep Reinforcement Learning Requires Explicit Regularization Aviral Kumar Rishabh Agarwal Tengyu Ma Aaron Courville George Tucker Sergey Levine OffRL 31 65 0 09 Dec 2021
Evaluating deep transfer learning for whole-brain cognitive decoding A. Thomas U. Lindenberger Wojciech Samek K. Müller AI4CE 27 12 0 01 Nov 2021
Learning Pessimism for Robust and Efficient Off-Policy Reinforcement Learning Edoardo Cetin Oya Celiktutan OffRL 42 17 0 07 Oct 2021
A Framework for Cluster and Classifier Evaluation in the Absence of Reference Labels R. Joyce Edward Raff Charles K. Nicholas 48 16 0 23 Sep 2021
Data Augmentation Through Monte Carlo Arithmetic Leads to More Generalizable Classification in Connectomics Greg Kiar Yohan Chatelain A. Salari Alan C. Evans Tristan Glatard OOD 13 3 0 20 Sep 2021
Torch.manual_seed(3407) is all you need: On the influence of random seeds in deep learning architectures for computer vision David Picard 3DV VLM 17 88 0 16 Sep 2021
HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO Katharina Eggensperger Philip Muller Neeratyoy Mallik Matthias Feurer René Sass Aaron Klein Noor H. Awad Marius Lindauer Frank Hutter 46 100 0 14 Sep 2021
Learning with Holographic Reduced Representations Ashwinkumar Ganesan Hang Gao S. Gandhi Edward Raff Tim Oates James Holt Mark McLean 13 23 0 05 Sep 2021
Relating the Partial Dependence Plot and Permutation Feature Importance to the Data Generating Process Christoph Molnar Timo Freiesleben Gunnar Konig Giuseppe Casalicchio Marvin N. Wright B. Bischl 4 60 0 03 Sep 2021
When are Deep Networks really better than Decision Forests at small sample sizes, and how? Haoyin Xu K. A. Kinfu Will LeVine Sambit Panda Jayanta Dey ... M. Kusmanov F. Engert Christopher M. White Joshua T. Vogelstein Carey E. Priebe 25 23 0 31 Aug 2021
Deep Reinforcement Learning at the Edge of the Statistical Precipice Rishabh Agarwal Max Schwarzer Pablo Samuel Castro Aaron Courville Marc G. Bellemare OffRL 59 639 0 30 Aug 2021
Challenges for cognitive decoding using deep learning methods A. Thomas Christopher Ré R. Poldrack AI4CE 24 6 0 16 Aug 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
Randomness In Neural Network Training: Characterizing The Impact of Tooling Donglin Zhuang Xingyao Zhang Shuaiwen Leon Song Sara Hooker 25 75 0 22 Jun 2021
GPU Semiring Primitives for Sparse Neighborhood Methods Corey J. Nolet Divye Gala Edward Raff Joe Eaton Brad Rees John Zedlewski Tim Oates 27 4 0 13 Apr 2021
What is the State of Neural Network Pruning? Davis W. Blalock Jose Javier Gonzalez Ortiz Jonathan Frankle John Guttag 191 1,032 0 06 Mar 2020
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 299 6,996 0 20 Apr 2018