TMLR

Dynamic Online Ensembles of Basis Expansions

Daniel Waxman, Petar M. Djurić

Comments 34 pages, 14 figures. Accepted to Transactions on Machine Learning Research (TMLR)

Journal ref Transactions on Machine Learning Research (TMLR), 2024

Improving Subgraph-GNNs via Edge-Level Ego-Network Encodings

Nurudin Alvarez-Gonzalez, Andreas Kaltenbrunner, Vicenç Gómez

Comments TMLR, graph neural networks, weisfeiler-lehman, expressivity, higher-order GNNs, 3-WL, 1-WL, edge-level, ego-networks

Journal ref Nurudin Alvarez-Gonzalez, Andreas Kaltenbrunner, Vicenç Gomez. Improving Subgraph-GNNs via Edge-Level Ego-Network Encodings. In Transactions on Machine Learning Research, 2024

A Survey on Transferability of Adversarial Examples across Deep Neural Networks

Jindong Gu, Xiaojun Jia, Pau de Jorge, Wenqain Yu, Xinwei Liu, Avery Ma, Yuan Xun, Anjun Hu, Ashkan Khakzar, Zhijiang Li, Xiaochun Cao, Philip Torr

Comments Accepted to Transactions on Machine Learning Research (TMLR)

Continual Diffusion: Continual Customization of Text-to-Image Diffusion with C-LoRA

James Seale Smith, Yen-Chang Hsu, Lingyu Zhang, Ting Hua, Zsolt Kira, Yilin Shen, Hongxia Jin

Comments Transactions on Machine Learning Research (TMLR) 2024

Federated Learning with Convex Global and Local Constraints

Chuan He, Le Peng, Ju Sun

Comments Accepted by Transactions on Machine Learning Research. Code associated with this paper can be found in https://github.com/PL97/Constr_FL

DSI2I: Dense Style for Unpaired Image-to-Image Translation

Baran Ozaydin, Tong Zhang, Sabine Süsstrunk, Mathieu Salzmann

Comments To appear on TMLR '24, Reviewed on OpenReview: https://openreview.net/forum?id=mrJi5kdKA4

Causal Discovery from Time Series with Hybrids of Constraint-Based and Noise-Based Algorithms

Daria Bystrova, Charles K. Assaad, Julyan Arbel, Emilie Devijver, Eric Gaussier, Wilfried Thuiller

Comments Accepted in TMLR: https://openreview.net/forum?id=PGLbZpVk2n

IMEX-Reg: Implicit-Explicit Regularization in the Function Space for Continual Learning

Prashant Bhat, Bharath Renjith, Elahe Arani, Bahram Zonooz

Comments Published in Transactions on Machine Learning Research

Your Policy Regularizer is Secretly an Adversary

Rob Brekelmans, Tim Genewein, Jordi Grau-Moya, Grégoire Delétang, Markus Kunesch, Shane Legg, Pedro Ortega

Comments Transactions on Machine Learning Research

Journal ref TMLR (2022) https://openreview.net/forum?id=berNQMTYWZ

Continual Learning: Applications and the Road Forward

Eli Verwimp, Rahaf Aljundi, Shai Ben-David, Matthias Bethge, Andrea Cossu, Alexander Gepperth, Tyler L. Hayes, Eyke Hüllermeier, Christopher Kanan, Dhireesha Kudithipudi, Christoph H. Lampert, Martin Mundt, Razvan Pascanu, Adrian Popescu, Andreas S. Tolias, Joost van de Weijer, Bing Liu, Vincenzo Lomonaco, Tinne Tuytelaars, Gido M. van de Ven

Journal ref Transactions on Machine Learning Research (TMLR), 2024

Understanding Sparse Neural Networks from their Topology via Multipartite Graph Representations

Elia Cunegatti, Matteo Farina, Doina Bucur, Giovanni Iacca

Comments Accepted at Transactions on Machine Learning Research (TMLR)

Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Avi Singh, John D. Co-Reyes, Rishabh Agarwal, Ankesh Anand, Piyush Patil, Xavier Garcia, Peter J. Liu, James Harrison, Jaehoon Lee, Kelvin Xu, Aaron Parisi, Abhishek Kumar, Alex Alemi, Alex Rizkowsky, Azade Nova, Ben Adlam, Bernd Bohnet, Gamaleldin Elsayed, Hanie Sedghi, Igor Mordatch, Isabelle Simpson, Izzeddin Gur, Jasper Snoek, Jeffrey Pennington, Jiri Hron, Kathleen Kenealy, Kevin Swersky, Kshiteej Mahajan, Laura Culp, Lechao Xiao, Maxwell L. Bileschi, Noah Constant, Roman Novak, Rosanne Liu, Tris Warkentin, Yundi Qian, Yamini Bansal, Ethan Dyer, Behnam Neyshabur, Jascha Sohl-Dickstein, Noah Fiedel

Comments Accepted to TMLR. Camera-ready version. First three authors contributed equally

Boomerang: Local sampling on image manifolds using diffusion models

Lorenzo Luzi, Paul M Mayer, Josue Casco-Rodriguez, Ali Siahkoohi, Richard G. Baraniuk

Comments Published in Transactions on Machine Learning Research

Lazy vs hasty: linearization in deep networks impacts learning schedule based on example difficulty

Thomas George, Guillaume Lajoie, Aristide Baratin

Comments 25 pages, 14 figures

Journal ref TMLR 2022 - Transactions on Machine Learning Research, 12/2022

MUBen: Benchmarking the Uncertainty of Molecular Representation Models

Yinghao Li, Lingkai Kong, Yuanqi Du, Yue Yu, Yuchen Zhuang, Wenhao Mu, Chao Zhang

Comments 58 pages, 10 figures, 39 tables, in TMLR

Inference from Real-World Sparse Measurements

Arnaud Pannatier, Kyle Matoba, François Fleuret

Comments 27 pages, 12 figures, Published at TMLR https://openreview.net/forum?id=y9IDfODRns

Merging by Matching Models in Task Parameter Subspaces

Derek Tam, Mohit Bansal, Colin Raffel

Comments TMLR

Evaluating Spatial Understanding of Large Language Models

Yutaro Yamada, Yihan Bao, Andrew K. Lampinen, Jungo Kasai, Ilker Yildirim

Comments Accepted to TMLR 2024. Our code and data are available at https://github.com/runopti/SpatialEvalLLM, https://huggingface.co/datasets/yyamada/SpatialEvalLLM

Incremental Extractive Opinion Summarization Using Cover Trees

Somnath Basu Roy Chowdhury, Nicholas Monath, Avinava Dubey, Manzil Zaheer, Andrew McCallum, Amr Ahmed, Snigdha Chaturvedi

Comments Accepted at TMLR

Adversarially Robust Spiking Neural Networks Through Conversion

Ozan Özdenizci, Robert Legenstein

Comments Transactions on Machine Learning Research (TMLR), 2024

What is the Solution for State-Adversarial Multi-Agent Reinforcement Learning?

Songyang Han, Sanbao Su, Sihong He, Shuo Han, Haizhao Yang, Shaofeng Zou, Fei Miao

Comments Accepted by Transactions on Machine Learning Research (TMLR)

Neural networks can be FLOP-efficient integrators of 1D oscillatory integrands

Anshuman Sinha, Spencer H. Bryngelson

Comments 11 pages, 7 figures, 3 tables. Published in TMLR 03/2024. Code at https://github.com/comp-physics/deepOscillations

Journal ref Transactions on Machine Learning Research; ISSN 2835-8856 (2024); https://openreview.net/forum?id=z9SIj-IM7tn

Understanding Fairness Surrogate Functions in Algorithmic Fairness

Wei Yao, Zhanke Zhou, Zhicong Li, Bo Han, Yong Liu

Comments Accepted by TMLR 2024

Bias Amplification Enhances Minority Group Performance

Gaotang Li, Jiarui Liu, Wei Hu

Comments To appear in TMLR

Towards generalizing deep-audio fake detection networks

Konstantin Gasenzer, Moritz Wolter

Comments Code available at: https://github.com/gan-police/audiodeepfake-detection

Journal ref Published in Transactions on Machine Learning Research (04/2024)

Synthetic data shuffling accelerates the convergence of federated learning under data heterogeneity

Bo Li, Yasin Esfandiari, Mikkel N. Schmidt, Tommy S. Alstrøm, Sebastian U. Stich

Comments Accepted at TMLR

Online Continuous Hyperparameter Optimization for Generalized Linear Contextual Bandits

Yue Kang, Cho-Jui Hsieh, Thomas C. M. Lee

Comments Published in Transactions on Machine Learning Research (TMLR)

Navigating Noise: A Study of How Noise Influences Generalisation and Calibration of Neural Networks

Martin Ferianc, Ondrej Bohdal, Timothy Hospedales, Miguel Rodrigues

Comments Accepted at Transactions on Machine Learning Research (April 2024). Martin and Ondrej contributed equally

On the Existence of Optimal Transport Gradient for Learning Generative Models

Antoine Houdard, Arthur Leclaire, Nicolas Papadakis, Julien Rabin

Journal ref Transactions on Machine Learning Research (2023)

VidEdit: Zero-Shot and Spatially Aware Text-Driven Video Editing

Paul Couairon, Clément Rambour, Jean-Emmanuel Haugeard, Nicolas Thome

Comments TMLR 2024. Project web-page at https://videdit.github.io