TMLR

Instance-Conditioned GAN Data Augmentation for Representation Learning

Pietro Astolfi, Arantxa Casanova, Jakob Verbeek, Pascal Vincent, Adriana Romero-Soriano, Michal Drozdzal

Comments TMLR reviews at https://openreview.net/forum?id=1n7q9mxG3T&referrer=%5BTMLR%5D(%2Fgroup%3Fid%3DTMLR)

Partition-Based Active Learning for Graph Neural Networks

Jiaqi Ma, Ziqiao Ma, Joyce Chai, Qiaozhu Mei

Comments Accepted to Transactions on Machine Learning Research (TMLR). Code available at: https://github.com/Mars-tin/GraphPart

Enhancing Diffusion-Based Image Synthesis with Robust Classifier Guidance

Bahjat Kawar, Roy Ganz, Michael Elad

Comments Accepted to TMLR

Leveraging Demonstrations with Latent Space Priors

Jonas Gehring, Deepak Gopinath, Jungdam Won, Andreas Krause, Gabriel Synnaeve, Nicolas Usunier

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

Transfer Entropy Bottleneck: Learning Sequence to Sequence Information Transfer

Damjan Kalajdzievski, Ximeng Mao, Pascal Fortier-Poisson, Guillaume Lajoie, Blake Richards

Comments 41 pages, 26 figures

Journal ref Transactions on Machine Learning Research (TMLR), 2023

Extreme Masking for Learning Instance and Distributed Visual Representations

Zhirong Wu, Zihang Lai, Xiao Sun, Stephen Lin

Comments Accepted in TMLR

Probing Predictions on OOD Images via Nearest Categories

Yao-Yuan Yang, Cyrus Rashtchian, Ruslan Salakhutdinov, Kamalika Chaudhuri

Comments Accepted by Transactions on Machine Learning Research

Extended Agriculture-Vision: An Extension of a Large Aerial Image Dataset for Agricultural Pattern Analysis

Jing Wu, David Pichler, Daniel Marley, David Wilson, Naira Hovakimyan, Jennifer Hobbs

Comments Dataset: https://github.com/jingwu6/Extended-Agriculture-Vision-Dataset Video: https://youtu.be/2xaKxUpY4iQ

Journal ref Transactions on Machine Learning Research(TMLR2023)

Learning Energy Conserving Dynamics Efficiently with Hamiltonian Gaussian Processes

Magnus Ross, Markus Heinonen

Comments Accepted in TMLR (March 2023)

A Snapshot of the Frontiers of Client Selection in Federated Learning

Gergely Dániel Németh, Miguel Ángel Lozano, Novi Quadrianto, Nuria Oliver

Comments 17 pages, 3 figures, 1 appendix, accepted to TMLR

Journal ref Transactions on Machine Learning Research, 2022

U-Statistics for Importance-Weighted Variational Inference

Javier Burroni, Kenta Takatsu, Justin Domke, Daniel Sheldon

Comments Accepted at Transactions on Machine Learning Research (TMLR)

A Flexible Nadaraya-Watson Head Can Offer Explainable and Calibrated Classification

Alan Q. Wang, Mert R. Sabuncu

Comments Accepted to Transactions on Machine Learning Research (TMLR) 2023

Black-box Prompt Learning for Pre-trained Language Models

Shizhe Diao, Zhichao Huang, Ruijia Xu, Xuechun Li, Yong Lin, Xiao Zhou, Tong Zhang

Comments To appear in the Transactions on Machine Learning Research (TMLR)

Fusion of Global and Local Knowledge for Personalized Federated Learning

Tiansheng Huang, Li Shen, Yan Sun, Weiwei Lin, Dacheng Tao

Comments Accepted by TMLR

SolidGen: An Autoregressive Model for Direct B-rep Synthesis

Pradeep Kumar Jayaraman, Joseph G. Lambourne, Nishkrit Desai, Karl D. D. Willis, Aditya Sanghi, Nigel J. W. Morris

Comments TMLR February 2023 paper

Hidden Heterogeneity: When to Choose Similarity-Based Calibration

Kiri L. Wagstaff, Thomas G. Dietterich

Comments 22 pages, 8 figures

Journal ref Transactions on Machine Learning Research, January 2023

KRADA: Known-region-aware Domain Alignment for Open-set Domain Adaptation in Semantic Segmentation

Chenhong Zhou, Feng Liu, Chen Gong, Rongfei Zeng, Tongliang Liu, William K. Cheung, Bo Han

Comments 18 pages

Journal ref Transactions on Machine Learning Research, 2023

Online Double Oracle

Le Cong Dinh, Yaodong Yang, Stephen McAleer, Zheng Tian, Nicolas Perez Nieves, Oliver Slumbers, David Henry Mguni, Haitham Bou Ammar, Jun Wang

Comments Accepted at Transactions on Machine Learning Research (TMLR)

Journal ref Transactions on Machine Learning Research 2022

Contrastive Search Is What You Need For Neural Text Generation

Yixuan Su, Nigel Collier

Comments TMLR'23

A Comprehensive Study of Real-Time Object Detection Networks Across Multiple Domains: A Survey

Elahe Arani, Shruthi Gowda, Ratnajit Mukherjee, Omar Magdy, Senthilkumar Kathiresan, Bahram Zonooz

Comments Published in Transactions on Machine Learning Research (TMLR) with Survey Certification

Journal ref Transactions on Machine Learning Research, 2022

On the Role of Fixed Points of Dynamical Systems in Training Physics-Informed Neural Networks

Franz M. Rohrhofer, Stefan Posch, Clemens Gößnitzer, Bernhard C. Geiger

Comments 22 pages

Journal ref Transactions on Machine Learning Research, 2023(1)

Differentially Private Fréchet Mean on the Manifold of Symmetric Positive Definite (SPD) Matrices with log-Euclidean Metric

Saiteja Utpala, Praneeth Vepakomma, Nina Miolane

Comments Accepted at TMLR

Journal ref Transactions on Machine Learning Research (TMLR), 2022

Mean-field analysis for heavy ball methods: Dropout-stability, connectivity, and global convergence

Diyuan Wu, Vyacheslav Kungurtsev, Marco Mondelli

Comments 14 pages in main text; 51 pages including bibliography and appendix. Published in Transcation on Machine Learning Research(TMLR), 2023. https://openreview.net/forum?id=gZna3IiGfl

Incorporating Sum Constraints into Multitask Gaussian Processes

Philipp Pilar, Carl Jidling, Thomas B. Schön, Niklas Wahlström

Journal ref Transactions on Machine Learning Research, 2022

BIGRoC: Boosting Image Generation via a Robust Classifier

Roy Ganz, Michael Elad

Journal ref Transactions on machine learning research, 2023

Fourier Sensitivity and Regularization of Computer Vision Models

Kiran Krishnamachari, See-Kiong Ng, Chuan-Sheng Foo

Comments Published in TMLR, https://openreview.net/forum?id=VmTYgjYloM

Journal ref TMLR 2022

Risk Sensitive Dead-end Identification in Safety-Critical Offline Reinforcement Learning

Taylor W. Killian, Sonali Parbhoo, Marzyeh Ghassemi

Comments To appear in TMLR (01/2023). The submission and reviews can be viewed at: https://openreview.net/forum?id=oKlEOT83gI

Continual Learning by Modeling Intra-Class Variation

Longhui Yu, Tianyang Hu, Lanqing Hong, Zhen Liu, Adrian Weller, Weiyang Liu

Comments Published in Transactions on Machine Learning Research (25 pages, 13 figures)

Finite-Time Analysis of Fully Decentralized Single-Timescale Actor-Critic

Qijun Luo, Xiao Li

Comments accepted for publication in Transactions on Machine Learning Research

Rethinking Assumptions in Deep Anomaly Detection

Lukas Ruff, Robert A. Vandermeulen, Billy Joe Franks, Klaus-Robert Müller, Marius Kloft

Comments 17 pages; accepted at the ICML 2021 Workshop on Uncertainty & Robustness in Deep Learning; An extended Journal paper of this work has been published in Transactions on Machine Learning Research: arXiv:2205.11474