TMLR

Training-free Graph Neural Networks and the Power of Labels as Features

Ryoma Sato

Comments TMLR 2024

AutoCLIP: Auto-tuning Zero-Shot Classifiers for Vision-Language Models

Jan Hendrik Metzen, Piyapat Saranrittichai, Chaithanya Kumar Mummadi

Comments accepted at TMLR, Camera Ready Version

Closing the gap between SVRG and TD-SVRG with Gradient Splitting

Arsenii Mustafin, Alex Olshevsky, Ioannis Ch. Paschalidis

Comments 42 pages, 8 figures, 6 tables

Journal ref Transactions on Machine Learning Research, 2835-8856, 2024

Exploiting Hankel-Toeplitz Structures for Fast Computation of Kernel Precision Matrices

Frida Viset, Anton Kullberg, Frederiek Wesel, Arno Solin

Comments Published in Transactions on Machine Learning (TMLR) July 2024

Dynamic Structure Estimation from Bandit Feedback using Nonvanishing Exponential Sums

Motoya Ohnishi, Isao Ishikawa, Yuko Kuroki, Masahiro Ikeda

Comments 35 pages, 9 figures

Journal ref Transactions on Machine Learning Research (https://openreview.net/forum?id=xNkASJL0F6), 2024

Privacy-Preserving Split Learning with Vision Transformers using Patch-Wise Random and Noisy CutMix

Seungeun Oh, Sihun Baek, Jihong Park, Hyelin Nam, Praneeth Vepakomma, Ramesh Raskar, Mehdi Bennis, Seong-Lyun Kim

Comments 23 pages, 11 figures, 8 tables, to be published in Transactions on Machine Learning Research (TMLR)

Demonstrating and Reducing Shortcuts in Vision-Language Representation Learning

Maurits Bleeker, Mariya Hendriksen, Andrew Yates, Maarten de Rijke

Comments 27 pages, accepted at TMLR

Reproducibility Study of "ITI-GEN: Inclusive Text-to-Image Generation"

Daniel Gallo Fernández, Răzvan-Andrei Matisan, Alejandro Monroy Muñoz, Janusz Partyka

Comments Accepted to TMLR, see https://openreview.net/forum?id=d3Vj360Wi2

Data Attribution for Diffusion Models: Timestep-induced Bias in Influence Estimation

Tong Xie, Haoyu Li, Andrew Bai, Cho-Jui Hsieh

Comments Accepted at TMLR. Code available at https://github.com/txie1/diffusion-ReTrac

Predictive Pipelined Decoding: A Compute-Latency Trade-off for Exact LLM Decoding

Seongjun Yang, Gibbeum Lee, Jaewoong Cho, Dimitris Papailiopoulos, Kangwook Lee

Comments ES-FoMo Workshop at ICML 2023 / Published in TMLR

Anticipatory Music Transformer

John Thickstun, David Hall, Chris Donahue, Percy Liang

Comments TMLR accepted version

Neural Clamping: Joint Input Perturbation and Temperature Scaling for Neural Network Calibration

Yung-Chen Tang, Pin-Yu Chen, Tsung-Yi Ho

Comments Transactions on Machine Learning Research

Journal ref Transactions on Machine Learning Research, 2024, ISSN 2835-8856, https://openreview.net/forum?id=qSFToMqLcq

Diversity-Preserving K-Armed Bandits, Revisited

Hédi Hadiji, Sébastien Gerchinovitz, Jean-Michel Loubes, Gilles Stoltz

Journal ref Transactions on Machine Learning Research Journal, 2024, July

Improved motif-scaffolding with SE(3) flow matching

Jason Yim, Andrew Campbell, Emile Mathieu, Andrew Y. K. Foong, Michael Gastegger, José Jiménez-Luna, Sarah Lewis, Victor Garcia Satorras, Bastiaan S. Veeling, Frank Noé, Regina Barzilay, Tommi S. Jaakkola

Comments Preprint. Code: https://github.com/ microsoft/frame-flow

Journal ref Transactions on Machine Learning Research 2024

Optimal Inference in Contextual Stochastic Block Models

O. Duranthon, L. Zdeborová

Journal ref Transactions on Machine Learning Research (TMLR) (03/2024)

Conditional Generative Models are Provably Robust: Pointwise Guarantees for Bayesian Inverse Problems

Fabian Altekrüger, Paul Hagemann, Gabriele Steidl

Comments Accepted and published in Transactions on Machine Learning Research (07/2023)

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

Understanding and Improving Transfer Learning of Deep Models via Neural Collapse

Xiao Li, Sheng Liu, Jinxin Zhou, Xinyu Lu, Carlos Fernandez-Granda, Zhihui Zhu, Qing Qu

Comments First two authors contributed equally. Accepted at TMLR

Jigsaw Game: Federated Clustering

Jinxuan Xu, Hong-You Chen, Wei-Lun Chao, Yuqian Zhang

Comments Accepted to TMLR

MOCA: Self-supervised Representation Learning by Predicting Masked Online Codebook Assignments

Spyros Gidaris, Andrei Bursuc, Oriane Simeoni, Antonin Vobecky, Nikos Komodakis, Matthieu Cord, Patrick Pérez

Comments Published in Transactions on Machine Learning Research (TMLR) 2024. Code at https://github.com/valeoai/MOCA

CompoDiff: Versatile Composed Image Retrieval With Latent Diffusion

Geonmo Gu, Sanghyuk Chun, Wonjae Kim, HeeJae Jun, Yoohoon Kang, Sangdoo Yun

Comments TMLR camera-ready; First two authors contributed equally; TMLR Expert Certification; 30 pages, 5.9MB

New Guarantees for Learning Revenue Maximizing Menus of Lotteries and Two-Part Tariffs

Maria-Florina Balcan, Hedyeh Beyhaghi

Comments Accepted to Transactions on Machine Learning Research (TMLR)

On the Importance of Uncertainty in Decision-Making with Large Language Models

Nicolò Felicioni, Lucas Maystre, Sina Ghiassian, Kamil Ciosek

Comments Published in TMLR (07/2024). 12 pages of main content, 25 pages with references and appendix

Language models are better than humans at next-token prediction

Buck Shlegeris, Fabien Roger, Lawrence Chan, Euan McLean

Comments Edit: TMLR 2024, more analysis of the results were added

SpikeGPT: Generative Pre-trained Language Model with Spiking Neural Networks

Rui-Jie Zhu, Qihang Zhao, Guoqi Li, Jason K. Eshraghian

Comments Accepted by TMLR

NuTime: Numerically Multi-Scaled Embedding for Large-Scale Time-Series Pretraining

Chenguo Lin, Xumeng Wen, Wei Cao, Congrui Huang, Jiang Bian, Stephen Lin, Zhirong Wu

Comments Accepted by TMLR 2024

Grid Cell-Inspired Fragmentation and Recall for Efficient Map Building

Jaedong Hwang, Zhang-Wei Hong, Eric Chen, Akhilan Boopathy, Pulkit Agrawal, Ila Fiete

Comments TMLR (Featured Certification)

Understanding the Role of Invariance in Transfer Learning

Till Speicher, Vedant Nanda, Krishna P. Gummadi

Comments Published at TMLR 2024

Read Between the Layers: Leveraging Multi-Layer Representations for Rehearsal-Free Continual Learning with Pre-Trained Models

Kyra Ahrens, Hans Hergen Lehmann, Jae Hee Lee, Stefan Wermter

Comments Accepted for publication in Transactions of Machine Learning Research (TMLR) journal

Object-Centric Relational Representations for Image Generation

Luca Butera, Andrea Cini, Alberto Ferrante, Cesare Alippi

Comments Accepted at TMLR

Journal ref Transactions on Machine Learning Research. https://openreview.net/forum?id=7kWjB9zW90

A Review of the Applications of Deep Learning-Based Emergent Communication

Brendon Boldt, David Mortensen

Comments 49 pages, 15 figures

Journal ref Transactions on Machine Learning Research, February 2024