TMLR

Enhancing Vision-Language Model with Unmasked Token Alignment

Jihao Liu, Jinliang Zheng, Boxiao Liu, Yu Liu, Hongsheng Li

Comments Accepted by TMLR; Code and models are available at https://github.com/jihaonew/UTA

Reproducibility study of FairAC

Gijs de Jong, Macha J. Meijer, Derck W. E. Prinzhorn, Harold Ruiter

Comments 14 pages, 2 figures, accepted at TMLR

Faster Convergence of Local SGD for Over-Parameterized Models

Tiancheng Qin, S. Rasoul Etesami, César A. Uribe

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

Solving Inverse Problems with Model Mismatch using Untrained Neural Networks within Model-based Architectures

Peimeng Guan, Naveed Iqbal, Mark A. Davenport, Mudassir Masood

Comments Published in Transactions in Machine Learning Research (TMLR)

Robust Distortion-free Watermarks for Language Models

Rohith Kuditipudi, John Thickstun, Tatsunori Hashimoto, Percy Liang

Comments reformatting of camera-ready version accepted to TMLR, with minor edits to introduction

Improved Convergence of Score-Based Diffusion Models via Prediction-Correction

Francesco Pedrotti, Jan Maas, Marco Mondelli

Comments 34 pages; accepted to TMLR

Temporal Difference Learning with Compressed Updates: Error-Feedback meets Reinforcement Learning

Aritra Mitra, George J. Pappas, Hamed Hassani

Comments Accepted to Transactions on Machine Learning Research

Reproducibility Study on Adversarial Attacks Against Robust Transformer Trackers

Fatemeh Nourilenjan Nokabadi, Jean-François Lalonde, Christian Gagné

Comments Published in Transactions on Machine Learning Research (05/2024): https://openreview.net/forum?id=FEEKR0Vl9s

Convergence Analysis of Fractional Gradient Descent

Ashwani Aggarwal

Comments 27 pages, 4 figures. Published in Transactions on Machine Learning Research

Conservative Prediction via Data-Driven Confidence Minimization

Caroline Choi, Fahim Tajwar, Yoonho Lee, Huaxiu Yao, Ananya Kumar, Chelsea Finn

Comments Transactions on Machine Learning Research (TMLR), 2024

CLIP-QDA: An Explainable Concept Bottleneck Model

Rémi Kazmierczak, Eloïse Berthier, Goran Frehse, Gianni Franchi

Journal ref Transactions on Machine Learning Research (05/2024)

A Joint Study of Phrase Grounding and Task Performance in Vision and Language Models

Noriyuki Kojima, Hadar Averbuch-Elor, Yoav Artzi

Comments This was published in TMLR in 2024, on January 24th

Explicit Formulae to Interchangeably use Hyperplanes and Hyperballs using Inversive Geometry

Erik Thordsen, Erich Schubert

Comments to be submitted to TMLR (submission pending)

PaDPaF: Partial Disentanglement with Partially-Federated GANs

Abdulla Jasem Almansoori, Samuel Horváth, Martin Takáč

Comments 29 pages, 21 figures. Published at TMLR 04/2024

Independence Testing for Temporal Data

Cencheng Shen, Jaewon Chung, Ronak Mehta, Ting Xu, Joshua T. Vogelstein

Comments 19 pages main + 6 pages appendix

Journal ref Transactions on Machine Learning Research, 2024

ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference

Nikita Durasov, Nik Dorndorf, Hieu Le, Pascal Fua

Comments Accepted to Transactions on Machine Learning Research (TMLR), ICML ABBI 2024

Indexed Minimum Empirical Divergence-Based Algorithms for Linear Bandits

Jie Bian, Vincent Y. F. Tan

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

Efficient Large Language Models: A Survey

Zhongwei Wan, Xin Wang, Che Liu, Samiul Alam, Yu Zheng, Jiachen Liu, Zhongnan Qu, Shen Yan, Yi Zhu, Quanlu Zhang, Mosharaf Chowdhury, Mi Zhang

Comments Camera ready version of Transactions on Machine Learning Research (TMLR)

From Identifiable Causal Representations to Controllable Counterfactual Generation: A Survey on Causal Generative Modeling

Aneesh Komanduri, Xintao Wu, Yongkai Wu, Feng Chen

Comments Published in Transactions on Machine Learning Research (TMLR) (05/2024); 72 pages, 27 figures, 4 tables

Journal ref Transactions on Machine Learning Research, 2024

Enhancing Compositional Generalization via Compositional Feature Alignment

Haoxiang Wang, Haozhe Si, Huajie Shao, Han Zhao

Comments Published in Transactions on Machine Learning Research (TMLR). The code is released at https://github.com/Haoxiang-Wang/Compositional-Feature-Alignment

Generating with Confidence: Uncertainty Quantification for Black-box Large Language Models

Zhen Lin, Shubhendu Trivedi, Jimeng Sun

Comments Published in Transactions on Machine Learning Research (05/2024)

Multimodal Chain-of-Thought Reasoning in Language Models

Zhuosheng Zhang, Aston Zhang, Mu Li, Hai Zhao, George Karypis, Alex Smola

Comments Published in Transactions on Machine Learning Research

GOPlan: Goal-conditioned Offline Reinforcement Learning by Planning with Learned Models

Mianchu Wang, Rui Yang, Xi Chen, Hao Sun, Meng Fang, Giovanni Montana

Comments Spotlight Presentation at Goal-conditioned Reinforcement Learning Workshop at NeurIPS 2023

Journal ref Transactions on Machine Learning Research (05/2024)

As large as it gets: Learning infinitely large Filters via Neural Implicit Functions in the Fourier Domain

Julia Grabinski, Janis Keuper, Margret Keuper

Comments accepted at TMLR 05/24

Large Language Models can be Guided to Evade AI-Generated Text Detection

Ning Lu, Shengcai Liu, Rui He, Qi Wang, Yew-Soon Ong, Ke Tang

Comments TMLR camera ready

Inverse Scaling: When Bigger Isn't Better

Ian R. McKenzie, Alexander Lyzhov, Michael Pieler, Alicia Parrish, Aaron Mueller, Ameya Prabhu, Euan McLean, Aaron Kirtland, Alexis Ross, Alisa Liu, Andrew Gritsevskiy, Daniel Wurgaft, Derik Kauffman, Gabriel Recchia, Jiacheng Liu, Joe Cavanagh, Max Weiss, Sicong Huang, The Floating Droid, Tom Tseng, Tomasz Korbak, Xudong Shen, Yuhui Zhang, Zhengping Zhou, Najoung Kim, Samuel R. Bowman, Ethan Perez

Comments Published in TMLR (2023), 39 pages

Journal ref Transactions on Machine Learning Research (TMLR), 10/2023, https://openreview.net/forum?id=DwgRm72GQF

Regret Bounds for Noise-Free Cascaded Kernelized Bandits

Zihan Li, Jonathan Scarlett

Comments TMLR

On Good Practices for Task-Specific Distillation of Large Pretrained Visual Models

Juliette Marrie, Michael Arbel, Julien Mairal, Diane Larlus

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

CascadedGaze: Efficiency in Global Context Extraction for Image Restoration

Amirhosein Ghasemabadi, Muhammad Kamran Janjua, Mohammad Salameh, Chunhua Zhou, Fengyu Sun, Di Niu

Comments Published in Transactions on Machine Learning Research (TMLR), 2024. 20 pages

PopulAtion Parameter Averaging (PAPA)

Alexia Jolicoeur-Martineau, Emy Gervais, Kilian Fatras, Yan Zhang, Simon Lacoste-Julien

Comments Blog post: https://ajolicoeur.wordpress.com/papa/, Code: https://github.com/SamsungSAILMontreal/PAPA, TMLR journal publication: https://openreview.net/forum?id=cPDVjsOytS