TMLR

Understanding Noise-Augmented Training for Randomized Smoothing

Ambar Pal, Jeremias Sulam

Comments Transactions on Machine Learning Research, 2023

Dual PatchNorm

Manoj Kumar, Mostafa Dehghani, Neil Houlsby

Comments TMLR 2023 (https://openreview.net/forum?id=jgMqve6Qhw)

Agent-State Construction with Auxiliary Inputs

Ruo Yu Tao, Adam White, Marlos C. Machado

Comments Published in Transactions on Machine Learning Research. 13 pages + 2 references + 15 appendix, 12 figures

Data Models for Dataset Drift Controls in Machine Learning With Optical Images

Luis Oala, Marco Aversa, Gabriel Nobis, Kurt Willis, Yoan Neuenschwander, Michèle Buck, Christian Matek, Jerome Extermann, Enrico Pomarico, Wojciech Samek, Roderick Murray-Smith, Christoph Clausen, Bruno Sanguinetti

Comments Published as a journal paper in the Transactions on Machine Learning Research 2023 (TMLR) available at https://openreview.net/forum?id=I4IkGmgFJz

Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models

Juan Miguel Lopez Alcaraz, Nils Strodthoff

Comments V3: Updated results for the solar dataset. 36 pages, 13 figures. Version published by Transactions on Machine Learning Research in 2022 (TMLR ISSN 2835-8856) https://openreview.net/forum?id=hHiIbk7ApW. Source code under https://github.com/AI4HealthUOL/SSSD

Journal ref Version published by Transactions on Machine Learning Research in 2022 (TMLR ISSN 2835-8856) https://openreview.net/forum?id=hHiIbk7ApW

OADAT: Experimental and Synthetic Clinical Optoacoustic Data for Standardized Image Processing

Firat Ozdemir, Berkan Lafci, Xosé Luís Deán-Ben, Daniel Razansky, Fernando Perez-Cruz

Comments Accepted to TMLR. 32 pages, 24 figures, 9 tables

Journal ref Transactions on Machine Learning Research (2023) 2835-8856

UncertaINR: Uncertainty Quantification of End-to-End Implicit Neural Representations for Computed Tomography

Francisca Vasconcelos, Bobby He, Nalini Singh, Yee Whye Teh

Comments Published in the Transactions on Machine Learning Research (TMLR) April 2023 [https://openreview.net/forum?id=jdGMBgYvfX]

Estimating the Density Ratio between Distributions with High Discrepancy using Multinomial Logistic Regression

Akash Srivastava, Seungwook Han, Kai Xu, Benjamin Rhodes, Michael U. Gutmann

Journal ref TMLR 2023

Positive Difference Distribution for Image Outlier Detection using Normalizing Flows and Contrastive Data

Robert Schmier, Ullrich Köthe, Christoph-Nikolas Straehle

Journal ref Transactions on Machine Learning Research (04/2023)

Uncovering the Representation of Spiking Neural Networks Trained with Surrogate Gradient

Yuhang Li, Youngeun Kim, Hyoungseob Park, Priyadarshini Panda

Comments Published in Transactions on Machine Learning Research (TMLR)

Proximal Curriculum for Reinforcement Learning Agents

Georgios Tzannetos, Bárbara Gomes Ribeiro, Parameswaran Kamalaruban, Adish Singla

Comments Published in Transactions on Machine Learning Research (TMLR) 2023

Active Learning of Ordinal Embeddings: A User Study on Football Data

Christoffer Loeffler, Kion Fallah, Stefano Fenu, Dario Zanca, Bjoern Eskofier, Christopher John Rozell, Christopher Mutschler

Comments 23 pages, 17 figures

Journal ref Transactions on Machine Learning Research 04/2023 https://openreview.net/forum?id=oq3tx5kinu

A Modulation Layer to Increase Neural Network Robustness Against Data Quality Issues

Mohamed Abdelhack, Jiaming Zhang, Sandhya Tripathi, Bradley A Fritz, Daniel Felsky, Michael S Avidan, Yixin Chen, Christopher R King

Journal ref Transactions on Machine Learning Research 2023

Adaptive patch foraging in deep reinforcement learning agents

Nathan J. Wispinski, Andrew Butcher, Kory W. Mathewson, Craig S. Chapman, Matthew M. Botvinick, Patrick M. Pilarski

Comments Published in Transactions on Machine Learning Research (TMLR). See: https://openreview.net/pdf?id=a0T3nOP9sB

Differentially private partitioned variational inference

Mikko A. Heikkilä, Matthew Ashman, Siddharth Swaroop, Richard E. Turner, Antti Honkela

Comments Published in TMLR 04/2023: https://openreview.net/forum?id=55BcghgicI

Journal ref Transactions on Machine Learning Research, ISSN 2835-8856, 2023

Intrinsic Dimension for Large-Scale Geometric Learning

Maximilian Stubbemann, Tom Hanika, Friedrich Martin Schneider

Comments 18 pages, 4 tables, 3 figures. This is the version accepted to TMLR, see: https://openreview.net/forum?id=85BfDdYMBY

Journal ref Transactions on Machine Learning Research, 2023

A Study of Biologically Plausible Neural Network: The Role and Interactions of Brain-Inspired Mechanisms in Continual Learning

Fahad Sarfraz, Elahe Arani, Bahram Zonooz

Comments Published in Transactions on Machine Learning Research (TMLR)

Neural Collapse: A Review on Modelling Principles and Generalization

Vignesh Kothapalli

Comments Transactions on Machine Learning Research (TMLR), 2023

Memory-efficient Reinforcement Learning with Value-based Knowledge Consolidation

Qingfeng Lan, Yangchen Pan, Jun Luo, A. Rupam Mahmood

Comments TMLR camera-ready

FLUID: A Unified Evaluation Framework for Flexible Sequential Data

Matthew Wallingford, Aditya Kusupati, Keivan Alizadeh-Vahid, Aaron Walsman, Aniruddha Kembhavi, Ali Farhadi

Comments 27 pages, 6 figures. Project page: https://raivn.cs.washington.edu/projects/FLUID/

Journal ref Transactions on Machine Learning Research 2023

Neural Shape Compiler: A Unified Framework for Transforming between Text, Point Cloud, and Program

Tiange Luo, Honglak Lee, Justin Johnson

Comments TMLR; project page: https://tiangeluo.github.io/projectpages/shapecompiler.html

Object-Aware Cropping for Self-Supervised Learning

Shlok Mishra, Anshul Shah, Ankan Bansal, Abhyuday Jagannatha, Janit Anjaria, Abhishek Sharma, David Jacobs, Dilip Krishnan

Journal ref Transactions on Machine Learning Research 2022

Reusable Options through Gradient-based Meta Learning

David Kuric, Herke van Hoof

Comments Published in Transactions on Machine Learning Research (TMLR)

INR-V: A Continuous Representation Space for Video-based Generative Tasks

Bipasha Sen, Aditya Agarwal, Vinay P Namboodiri, C. V. Jawahar

Comments Published in Transactions on Machine Learning Research (10/2022); https://openreview.net/forum?id=aIoEkwc2oB

A Revenue Function for Comparison-Based Hierarchical Clustering

Aishik Mandal, Michaël Perrot, Debarghya Ghoshdastidar

Comments 26 pages, 6 figures, 5 tables. Transactions on Machine Learning Research (2023)

Bayesian Optimization with Informative Covariance

Afonso Eduardo, Michael U. Gutmann

Journal ref Transactions on Machine Learning Research (TMLR), 2023. URL: https://openreview.net/forum?id=JwgVBv18RG

DHA: End-to-End Joint Optimization of Data Augmentation Policy, Hyper-parameter and Architecture

Kaichen Zhou, Lanqing Hong, Shoukang Hu, Fengwei Zhou, Binxin Ru, Jiashi Feng, Zhenguo Li

Journal ref Transactions on Machine Learning Research 2022

NovelCraft: A Dataset for Novelty Detection and Discovery in Open Worlds

Patrick Feeney, Sarah Schneider, Panagiotis Lymperopoulos, Li-Ping Liu, Matthias Scheutz, Michael C. Hughes

Comments Published in Transactions on Machine Learning Research (03/2023)

Learn, Unlearn and Relearn: An Online Learning Paradigm for Deep Neural Networks

Vijaya Raghavan T. Ramkumar, Elahe Arani, Bahram Zonooz

Comments Published in Transactions on Machine Learning Research (TMLR)

Towards Better Out-of-Distribution Generalization of Neural Algorithmic Reasoning Tasks

Sadegh Mahdavi, Kevin Swersky, Thomas Kipf, Milad Hashemi, Christos Thrampoulidis, Renjie Liao

Comments Transactions on Machine Learning Research (TMLR), 2023