TMLR

TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysis

Sabera Talukder, Yisong Yue, Georgia Gkioxari

Comments Accepted to TMLR (12/24), 33 pages. TMLR link: https://openreview.net/pdf?id=QlTLkH6xRC

Journal ref Transactions on Machine Learning Research 2024

Function Basis Encoding of Numerical Features in Factorization Machines

Alex Shtoff, Elie Abboud, Rotem Stram, Oren Somekh

Comments Published in TMLR, '2024

Variational Pseudo Marginal Methods for Jet Reconstruction in Particle Physics

Hanming Yang, Antonio Khalil Moretti, Sebastian Macaluso, Philippe Chlenski, Christian A. Naesseth, Itsik Pe'er

Comments 21 pages, 9 figures

Journal ref Transactions on Machine Learning Research 2024

Exposing Limitations of Language Model Agents in Sequential-Task Compositions on the Web

Hiroki Furuta, Yutaka Matsuo, Aleksandra Faust, Izzeddin Gur

Comments Published at Transactions on Machine Learning Research (TMLR), Code: https://github.com/google-research/google-research/tree/master/compositional_rl/compwob

PRD: Peer Rank and Discussion Improve Large Language Model based Evaluations

Ruosen Li, Teerth Patel, Xinya Du

Comments Accepted by TMLR

Mind the truncation gap: challenges of learning on dynamic graphs with recurrent architectures

João Bravo, Jacopo Bono, Pedro Saleiro, Hugo Ferreira, Pedro Bizarro

Comments Published in Transactions on Machine Learning Research (TMLR)

Towards Empirical Interpretation of Internal Circuits and Properties in Grokked Transformers on Modular Polynomials

Hiroki Furuta, Gouki Minegishi, Yusuke Iwasawa, Yutaka Matsuo

Comments Published at Transactions on Machine Learning Research (TMLR), Code: https://github.com/frt03/grok_mod_poly

Deep Neural Networks and Brain Alignment: Brain Encoding and Decoding (Survey)

Subba Reddy Oota, Zijiao Chen, Manish Gupta, Raju S. Bapi, Gael Jobard, Frederic Alexandre, Xavier Hinaut

Comments 61 pages, 22 figures

Journal ref Published in Transactions on Machine Learning Research (12/2024)

Unleashing the Power of Data Tsunami: A Comprehensive Survey on Data Assessment and Selection for Instruction Tuning of Language Models

Yulei Qin, Yuncheng Yang, Pengcheng Guo, Gang Li, Hang Shao, Yuchen Shi, Zihan Xu, Yun Gu, Ke Li, Xing Sun

Comments Accepted to TMLR with Survey Certificate, review, survey, 37 pages, 5 figures, 4 tables

General-Purpose Multi-Modal OOD Detection Framework

Viet Duong, Qiong Wu, Zhengyi Zhou, Eric Zavesky, Jiahe Chen, Xiangzhou Liu, Wen-Ling Hsu, Huajie Shao

Journal ref Transactions on Machine Learning Research 2024

Efficient Identification of Direct Causal Parents via Invariance and Minimum Error Testing

Minh Nguyen, Mert R. Sabuncu

Comments Accepted at TMLR

Exploring Human-in-the-Loop Test-Time Adaptation by Synergizing Active Learning and Model Selection

Yushu Li, Yongyi Su, Xulei Yang, Kui Jia, Xun Xu

Comments Accepted at Transactions on Machine Learning Research (TMLR)

A Note on Generalization in Variational Autoencoders: How Effective Is Synthetic Data & Overparameterization?

Tim Z. Xiao, Johannes Zenn, Robert Bamler

Comments 11 pages + appendix; Published in TMLR (12/2024) - https://openreview.net/forum?id=bwyHf5eery

Spectral Self-supervised Feature Selection

Daniel Segal, Ofir Lindenbaum, Ariel Jaffe

Comments TMLR 2024

Generalizing Denoising to Non-Equilibrium Structures Improves Equivariant Force Fields

Yi-Lun Liao, Tess Smidt, Muhammed Shuaibi, Abhishek Das

Comments Published in Transactions on Machine Learning Research (TMLR)

Augment then Smooth: Reconciling Differential Privacy with Certified Robustness

Jiapeng Wu, Atiyeh Ashari Ghomi, David Glukhov, Jesse C. Cresswell, Franziska Boenisch, Nicolas Papernot

Comments 29 pages, 19 figures. Accepted at TMLR in 2024. Link: https://openreview.net/forum?id=YN0IcnXqsr

Do Parameters Reveal More than Loss for Membership Inference?

Anshuman Suri, Xiao Zhang, David Evans

Comments Accepted to Transactions on Machine Learning Research (TMLR)

Scaling Laws for Imitation Learning in Single-Agent Games

Jens Tuyls, Dhruv Madeka, Kari Torkkola, Dean Foster, Karthik Narasimhan, Sham Kakade

Comments Accepted at TMLR 2024

Confidence Intervals and Simultaneous Confidence Bands Based on Deep Learning

Asaf Ben Arie, Malka Gorfine

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

Merging Text Transformer Models from Different Initializations

Neha Verma, Maha Elbayad

Comments TMLR, November 2024

SOLO: A Single Transformer for Scalable Vision-Language Modeling

Yangyi Chen, Xingyao Wang, Hao Peng, Heng Ji

Comments Accepted to TMLR

Data Pruning Can Do More: A Comprehensive Data Pruning Approach for Object Re-identification

Zi Yang, Haojin Yang, Soumajit Majumder, Jorge Cardoso, Guillermo Gallego

Journal ref Transactions on Machine Learning Research - 2024

The Unreasonable Effectiveness of Gaussian Score Approximation for Diffusion Models and its Applications

Binxu Wang, John J. Vastola

Comments 69 pages, 34 figures. Published in TMLR. Previous shorter versions at arxiv.org/abs/2303.02490 and arxiv.org/abs/2311.10892

Journal ref Transactions on Machine Learning Research, 2024. https://openreview.net/forum?id=I0uknSHM2j

Training LLMs over Neurally Compressed Text

Brian Lester, Jaehoon Lee, Alex Alemi, Jeffrey Pennington, Adam Roberts, Jascha Sohl-Dickstein, Noah Constant

Comments Accepted in TMLR https://openreview.net/forum?id=pRvhMSV48t

Growing Tiny Networks: Spotting Expressivity Bottlenecks and Fixing Them Optimally

Manon Verbockhaven, Sylvain Chevallier, Guillaume Charpiat, Théo Rudkiewicz

Journal ref Transactions on Machine Learning Research Journal, 2024

Contaminated Online Convex Optimization

Tomoya Kamijima, Shinji Ito

Comments Transactions on Machine Learning Research, 2024. ISSN 2835-8856

Bigger is not Always Better: Scaling Properties of Latent Diffusion Models

Kangfu Mei, Zhengzhong Tu, Mauricio Delbracio, Hossein Talebi, Vishal M. Patel, Peyman Milanfar

Comments Accepted to TMLR. Camera-ready version

MaskBit: Embedding-free Image Generation via Bit Tokens

Mark Weber, Lijun Yu, Qihang Yu, Xueqing Deng, Xiaohui Shen, Daniel Cremers, Liang-Chieh Chen

Comments Accepted to TMLR w. featured and reproducibility certification. Project page: https://weber-mark.github.io/projects/maskbit.html

Directional Convergence Near Small Initializations and Saddles in Two-Homogeneous Neural Networks

Akshay Kumar, Jarvis Haupt

Comments tmlr-final-version

Journal ref Transactions on Machine Learning Research (06/2024)

Separable Operator Networks

Xinling Yu, Sean Hooten, Ziyue Liu, Yequan Zhao, Marco Fiorentino, Thomas Van Vaerenbergh, Zheng Zhang

Comments Accepted by TMLR on December 3, 2024. The initial version was submitted to arXiv on July 15, 2024