TMLR

Confidence-aware Denoised Fine-tuning of Off-the-shelf Models for Certified Robustness

Suhyeok Jang, Seojin Kim, Jinwoo Shin, Jongheon Jeong

Comments 26 pages; TMLR 2024; Code is available at https://github.com/suhyeok24/FT-CADIS

MANTIS: Interleaved Multi-Image Instruction Tuning

Dongfu Jiang, Xuan He, Huaye Zeng, Cong Wei, Max Ku, Qian Liu, Wenhu Chen

Comments 13 pages, 3 figures, 13 tables

Journal ref Transactions on Machine Learning Research 2024

Equivariant Symmetry Breaking Sets

YuQing Xie, Tess Smidt

Comments 50 pages, 19 figures Published in Transactions on Machine Learning Research, October 2024

Federated Graph Learning with Graphless Clients

Xingbo Fu, Song Wang, Yushun Dong, Binchi Zhang, Chen Chen, Jundong Li

Comments Accepted by Transactions on Machine Learning Research (TMLR)

On the Robustness of Neural Collapse and the Neural Collapse of Robustness

Jingtong Su, Ya Shi Zhang, Nikolaos Tsilivis, Julia Kempe

Comments Transactions on Machine Learning Research, 2024

Simple Steps to Success: A Method for Step-Based Counterfactual Explanations

Jenny Hamer, Nicholas Perello, Jake Valladares, Vignesh Viswanathan, Yair Zick

Comments Accepted to TMLR Oct 2024

RLHF Workflow: From Reward Modeling to Online RLHF

Hanze Dong, Wei Xiong, Bo Pang, Haoxiang Wang, Han Zhao, Yingbo Zhou, Nan Jiang, Doyen Sahoo, Caiming Xiong, Tong Zhang

Comments Published in Transactions on Machine Learning Research (09/2024)

Guarantees of confidentiality via Hammersley-Chapman-Robbins bounds

Kamalika Chaudhuri, Chuan Guo, Laurens van der Maaten, Saeed Mahloujifar, Mark Tygert

Comments 18 pages, 6 figures

Journal ref Transactions on Machine Learning Research, article 2496: pp. 1-20, 2024

CFASL: Composite Factor-Aligned Symmetry Learning for Disentanglement in Variational AutoEncoder

Hee-Jun Jung, Jaehyoung Jeong, Kangil Kim

Comments Accepted in TMLR 25 pages, 14 figures

'Explaining RL Decisions with Trajectories': A Reproducibility Study

Karim Abdel Sadek, Matteo Nulli, Joan Velja, Jort Vincenti

Journal ref Transactions on Machine Learning Research, May 2024

Contrastive Learning with Adaptive Neighborhoods for Brain Age Prediction on 3D Stiffness Maps

Jakob Träuble, Lucy Hiscox, Curtis Johnson, Carola-Bibiane Schönlieb, Gabriele Kaminski Schierle, Angelica Aviles-Rivero

Journal ref Transactions on Machine Learning Research (10/2024)

UniCtrl: Improving the Spatiotemporal Consistency of Text-to-Video Diffusion Models via Training-Free Unified Attention Control

Tian Xia, Xuweiyi Chen, Sihan Xu

Comments Accepted to TMLR | Project Page: https://unified-attention-control.github.io/

Beyond Text: Utilizing Vocal Cues to Improve Decision Making in LLMs for Robot Navigation Tasks

Xingpeng Sun, Haoming Meng, Souradip Chakraborty, Amrit Singh Bedi, Aniket Bera

Comments 30 pages, 7 figures

Journal ref Transactions on Machine Learning Research 2024

Layerwise complexity-matched learning yields an improved model of cortical area V2

Nikhil Parthasarathy, Olivier J. Hénaff, Eero P. Simoncelli

Comments 31 pages, 13 figures

Journal ref Transactions on Machine Learning Research, Jun 2024. Featured Article certification

Single-Shot Plug-and-Play Methods for Inverse Problems

Yanqi Cheng, Lipei Zhang, Zhenda Shen, Shujun Wang, Lequan Yu, Raymond H. Chan, Carola-Bibiane Schönlieb, Angelica I Aviles-Rivero

Journal ref Published in Transactions on Machine Learning Research, 2024

Dependency Structure Search Bayesian Optimization for Decision Making Models

Mohit Rajpal, Lac Gia Tran, Yehong Zhang, Bryan Kian Hsiang Low

Comments Accepted to TMLR 10/2024

Towards Backwards-Compatible Data with Confounded Domain Adaptation

Calvin McCarter

Comments Published in Transactions on Machine Learning Research (11/2024)

Interpreting CLIP: Insights on the Robustness to ImageNet Distribution Shifts

Jonathan Crabbé, Pau Rodríguez, Vaishaal Shankar, Luca Zappella, Arno Blaas

Comments Published in TMLR

Equivariant Graph Network Approximations of High-Degree Polynomials for Force Field Prediction

Zhao Xu, Haiyang Yu, Montgomery Bohde, Shuiwang Ji

Journal ref Transactions on Machine Learning Research, 2024. Featured Certification

Fast, accurate and lightweight sequential simulation-based inference using Gaussian locally linear mappings

Henrik Häggström, Pedro L. C. Rodrigues, Geoffroy Oudoumanessah, Florence Forbes, Umberto Picchini

Comments 69 pages, 66 figures: new case study added (Biological model of the translation kinetics after mRNA transfection)

Journal ref Transactions on Machine Learning Research 2024, https://openreview.net/forum?id=Q0nzpRcwWn

D3: Data Diversity Design for Systematic Generalization in Visual Question Answering

Amir Rahimi, Vanessa D'Amario, Moyuru Yamada, Kentaro Takemoto, Tomotake Sasaki, Xavier Boix

Comments TMLR (https://openreview.net/forum?id=ZAin13msOp)

Variational Inference on the Final-Layer Output of Neural Networks

Yadi Wei, Roni Khardon

Comments Published to TMLR

Implicit Neural Representations for Robust Joint Sparse-View CT Reconstruction

Jiayang Shi, Junyi Zhu, Daniel M. Pelt, K. Joost Batenburg, Matthew B. Blaschko

Journal ref Transactions on Machine Learning Research (2024)

Modular Quantization-Aware Training for 6D Object Pose Estimation

Saqib Javed, Chengkun Li, Andrew Price, Yinlin Hu, Mathieu Salzmann

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

Self-Improvement for Neural Combinatorial Optimization: Sample without Replacement, but Improvement

Jonathan Pirnay, Dominik G. Grimm

Comments Published in Transactions on Machine Learning Research (TMLR) (06/2024)

Journal ref Transactions on Machine Learning Research (TMLR) 06/2024, Featured Certification

AnyV2V: A Tuning-Free Framework For Any Video-to-Video Editing Tasks

Max Ku, Cong Wei, Weiming Ren, Harry Yang, Wenhu Chen

Comments Published in Transactions on Machine Learning Research (TMLR 2024) (11/2024)

SASSL: Enhancing Self-Supervised Learning via Neural Style Transfer

Renan A. Rojas-Gomez, Karan Singhal, Ali Etemad, Alex Bijamov, Warren R. Morningstar, Philip Andrew Mansfield

Comments Accepted at Transactions on Machine Learning Research (TMLR 2024)

$FastDoc$: Domain-Specific Fast Continual Pre-training Technique using Document-Level Metadata and Taxonomy

Abhilash Nandy, Manav Nitin Kapadnis, Sohan Patnaik, Yash Parag Butala, Pawan Goyal, Niloy Ganguly

Comments Accepted to Transactions on Machine Learning Research (TMLR), 36 pages, 8 figures

Chasing Better Deep Image Priors between Over- and Under-parameterization

Qiming Wu, Xiaohan Chen, Yifan Jiang, Zhangyang Wang

Comments Codes are available at https://github.com/VITA-Group/Chasing-Better-DIPs

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

Fingerprints of Super Resolution Networks

Jeremy Vonderfecht, Feng Liu

Comments Published in Transactions on Machine Learning Research (2022)