TMLR

PID Control-Based Self-Healing to Improve the Robustness of Large Language Models

Zhuotong Chen, Zihu Wang, Yifan Yang, Qianxiao Li, Zheng Zhang

Comments Transactions on Machine Learning Research

Revisiting Random Weight Perturbation for Efficiently Improving Generalization

Tao Li, Qinghua Tao, Weihao Yan, Zehao Lei, Yingwen Wu, Kun Fang, Mingzhen He, Xiaolin Huang

Comments Accepted to TMLR 2024

Towards Understanding Dual BN In Hybrid Adversarial Training

Chenshuang Zhang, Chaoning Zhang, Kang Zhang, Axi Niu, Junmo Kim, In So Kweon

Comments Accepted at TMLR

HQ-VAE: Hierarchical Discrete Representation Learning with Variational Bayes

Yuhta Takida, Yukara Ikemiya, Takashi Shibuya, Kazuki Shimada, Woosung Choi, Chieh-Hsin Lai, Naoki Murata, Toshimitsu Uesaka, Kengo Uchida, Wei-Hsiang Liao, Yuki Mitsufuji

Comments 34 pages with 17 figures, accepted for TMLR

Optimal Transport Perturbations for Safe Reinforcement Learning with Robustness Guarantees

James Queeney, Erhan Can Ozcan, Ioannis Ch. Paschalidis, Christos G. Cassandras

Comments Transactions on Machine Learning Research (TMLR), 2024

Scaling Vision-and-Language Navigation With Offline RL

Valay Bundele, Mahesh Bhupati, Biplab Banerjee, Aditya Grover

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

World Models via Policy-Guided Trajectory Diffusion

Marc Rigter, Jun Yamada, Ingmar Posner

Comments Published in TMLR, March 2024

An optimal control perspective on diffusion-based generative modeling

Julius Berner, Lorenz Richter, Karen Ullrich

Comments Accepted for oral presentation at NeurIPS 2022 Workshop on Score-Based Methods

Journal ref Transactions on Machine Learning Research, 2024

CiPR: An Efficient Framework with Cross-instance Positive Relations for Generalized Category Discovery

Shaozhe Hao, Kai Han, Kwan-Yee K. Wong

Comments Accepted to TMLR. Code: https://github.com/haoosz/CiPR

EHRDiff: Exploring Realistic EHR Synthesis with Diffusion Models

Hongyi Yuan, Songchi Zhou, Sheng Yu

Comments Accepted by TMLR, preprint of camera-ready version

Multi-conditioned Graph Diffusion for Neural Architecture Search

Rohan Asthana, Joschua Conrad, Youssef Dawoud, Maurits Ortmanns, Vasileios Belagiannis

Comments Accepted at Transactions on Machine Learning Research (TMLR)

Layer-diverse Negative Sampling for Graph Neural Networks

Wei Duan, Jie Lu, Yu Guang Wang, Junyu Xuan

Comments Published in Transactions on Machine Learning Research (03/2024)

Global Convergence of SGD For Logistic Loss on Two Layer Neural Nets

Pulkit Gopalani, Samyak Jha, Anirbit Mukherjee

Comments 18 Pages, 1 figure. Published in the Transactions on Machine Learning Research (TMLR) in Feb, 2024. arXiv admin note: substantial text overlap with arXiv:2210.11452

Convergence of SGD for Training Neural Networks with Sliced Wasserstein Losses

Eloi Tanguy

Journal ref Transactions on Machine Learning Research, 2023 2835-8856

Robust Alzheimer's Progression Modeling using Cross-Domain Self-Supervised Deep Learning

Saba Dadsetan, Mohsen Hejrati, Shandong Wu, Somaye Hashemifar

Comments This work has been published at the Transactions on Machine Learning Research (TMLR) journal

Cognitive Architectures for Language Agents

Theodore R. Sumers, Shunyu Yao, Karthik Narasimhan, Thomas L. Griffiths

Comments v3 is TMLR camera ready version. 19 pages of main content, 5 figures. The first two authors contributed equally, order decided by coin flip. A CoALA-based repo of recent work on language agents: https://github.com/ysymyth/awesome-language-agents

Upper Bound of Bayesian Generalization Error in Partial Concept Bottleneck Model (CBM): Partial CBM outperforms naive CBM

Naoki Hayashi, Yoshihide Sawada

Comments 17 pages, 1 figure, submitted to TMLR

A Survey on Causal Discovery Methods for I.I.D. and Time Series Data

Uzma Hasan, Emam Hossain, Md Osman Gani

Comments Published (05 Sept 2023) in Transactions on Machine Learning Research (TMLR)

Improving and generalizing flow-based generative models with minibatch optimal transport

Alexander Tong, Kilian Fatras, Nikolay Malkin, Guillaume Huguet, Yanlei Zhang, Jarrid Rector-Brooks, Guy Wolf, Yoshua Bengio

Comments TMLR. Code: https://github.com/atong01/conditional-flow-matching

ModuLoRA: Finetuning 2-Bit LLMs on Consumer GPUs by Integrating with Modular Quantizers

Junjie Yin, Jiahao Dong, Yingheng Wang, Christopher De Sa, Volodymyr Kuleshov

Comments Update since being accepted to TMLR. Updated 2Bit results

ProtoCaps: A Fast and Non-Iterative Capsule Network Routing Method

Miles Everett, Mingjun Zhong, Georgios Leontidis

Comments 13 pages, 5 figures, 5 tables

Journal ref TMLR December 2023 (https://openreview.net/pdf?id=Id10mlBjcx)

Functional Linear Regression of Cumulative Distribution Functions

Qian Zhang, Anuran Makur, Kamyar Azizzadenesheli

Comments 56 pages, 7 figures, accepted by TMLR

Diffusion Models for Constrained Domains

Nic Fishman, Leo Klarner, Valentin De Bortoli, Emile Mathieu, Michael Hutchinson

Comments Published in Transactions on Machine Learning Research (07/2023)

Kernel Normalized Convolutional Networks

Reza Nasirigerdeh, Reihaneh Torkzadehmahani, Daniel Rueckert, Georgios Kaissis

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

LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models

Long Lian, Boyi Li, Adam Yala, Trevor Darrell

Comments Transactions on Machine Learning Research (TMLR) 2024, with Featured Certification

Assisted Learning for Organizations with Limited Imbalanced Data

Cheng Chen, Jiaying Zhou, Jie Ding, Yi Zhou

Comments Published in Transactions on Machine Learning Research (TMLR) (05/2023)

Journal ref C. Chen, J. Zhou, J. Ding, and Y. Zhou, "Assisted Learning for Organizations with Limited Imbalanced Data," Transactions on Machine Learning Research (TMLR), 2023

Statistical Component Separation for Targeted Signal Recovery in Noisy Mixtures

Bruno Régaldo-Saint Blancard, Michael Eickenberg

Comments 13+17 pages, 6+8 figures, published in TMLR, code: https://github.com/bregaldo/stat_comp_sep

Multi-label Node Classification On Graph-Structured Data

Tianqi Zhao, Ngan Thi Dong, Alan Hanjalic, Megha Khosla

Comments Published in TMLR 2023. Link: https://openreview.net/forum?id=EZhkV2BjDP

Journal ref Transaction Of Machine Learning Research, 2835-8856, 2023

Incorporating Prior Knowledge into Neural Networks through an Implicit Composite Kernel

Ziyang Jiang, Tongshu Zheng, Yiling Liu, David Carlson

Comments 27 pages, 13 figures, 5 tables, 3 algorithms, published in Transactions on Machine Learning Research (TMLR)

We're Not Using Videos Effectively: An Updated Domain Adaptive Video Segmentation Baseline

Simar Kareer, Vivek Vijaykumar, Harsh Maheshwari, Prithvijit Chattopadhyay, Judy Hoffman, Viraj Prabhu

Comments TMLR 2024