TMLR

Stealthy Backdoor Attack via Confidence-driven Sampling

Pengfei He, Yue Xing, Han Xu, Jie Ren, Yingqian Cui, Shenglai Zeng, Jiliang Tang, Makoto Yamada, Mohammad Sabokrou

Comments Accepted for TMLR

Support-Set Context Matters for Bongard Problems

Nikhil Raghuraman, Adam W. Harley, Leonidas Guibas

Comments TMLR October 2024. Code: https://github.com/nraghuraman/bongard-context

Calibration Attacks: A Comprehensive Study of Adversarial Attacks on Model Confidence

Stephen Obadinma, Xiaodan Zhu, Hongyu Guo

Comments Accepted at Transactions on Machine Learning Research

Assessing biomedical knowledge robustness in large language models by query-efficient sampling attacks

R. Patrick Xian, Alex J. Lee, Satvik Lolla, Vincent Wang, Qiming Cui, Russell Ro, Reza Abbasi-Asl

Comments 31 pages incl. appendix, accepted by TMLR

Exponential Moving Average of Weights in Deep Learning: Dynamics and Benefits

Daniel Morales-Brotons, Thijs Vogels, Hadrien Hendrikx

Comments 27 pages, 9 figures. Accepted at TMLR, April 2024

Journal ref Transactions on Machine Learning Research 2024

Optimized Tradeoffs for Private Prediction with Majority Ensembling

Shuli Jiang, Qiuyi, Zhang, Gauri Joshi

Comments 57 pages, 10 figures. Proceedings of Transactions on Machine Learning Research (TMLR), November 2024

Selective Classification Under Distribution Shifts

Hengyue Liang, Le Peng, Ju Sun

Comments Paper accepted to Transactions on Machine Learning Research (TMLR), issn: 2835-8856,2024

Positional Encoding Helps Recurrent Neural Networks Handle a Large Vocabulary

Takashi Morita

Comments Accepted in TMLR. Added a URL link to the official code and fixed a typo

Journal ref TMLR (2024) PtnwXd13SF

No Identity, no problem: Motion through detection for people tracking

Martin Engilberge, F. Wilke Grosche, Pascal Fua

Comments Accepted in TMLR November 2024

Dataset Distillation via Curriculum Data Synthesis in Large Data Era

Zeyuan Yin, Zhiqiang Shen

Comments TMLR 2024 Camera-ready Version. Code and distilled ImageNet-21K dataset are available at https://github.com/VILA-Lab/SRe2L/tree/main/CDA

UPS: Efficiently Building Foundation Models for PDE Solving via Cross-Modal Adaptation

Junhong Shen, Tanya Marwah, Ameet Talwalkar

Comments TMLR 2024; ICML 2024 AI for Science Workshop (Spotlight)

A Dual-Perspective Approach to Evaluating Feature Attribution Methods

Yawei Li, Yang Zhang, Kenji Kawaguchi, Ashkan Khakzar, Bernd Bischl, Mina Rezaei

Comments Accepted by Transactions on Machine Learning Research (11/2024)

The Klarna Product Page Dataset: Web Element Nomination with Graph Neural Networks and Large Language Models

Alexandra Hotti, Riccardo Sven Risuleo, Stefan Magureanu, Aref Moradi, Jens Lagergren

Comments 12 pages, 8 figures, 3 tables, under review

Journal ref Transactions on Machine Learning Research, 2024

A Survey on Large Language Models for Critical Societal Domains: Finance, Healthcare, and Law

Zhiyu Zoey Chen, Jing Ma, Xinlu Zhang, Nan Hao, An Yan, Armineh Nourbakhsh, Xianjun Yang, Julian McAuley, Linda Petzold, William Yang Wang

Comments TMLR 2024

Reconciling Kaplan and Chinchilla Scaling Laws

Tim Pearce, Jinyeop Song

Comments Published in TMLR 2024

Journal ref TMLR 2024

Towards Understanding Adversarial Transferability in Federated Learning

Yijiang Li, Ying Gao, Haohan Wang

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

Revisiting Discrete Soft Actor-Critic

Haibin Zhou, Tong Wei, Zichuan Lin, junyou li, Junliang Xing, Yuanchun Shi, Li Shen, Chao Yu, Deheng Ye

Comments Accepted by Transactions on Machine Learning Research (TMLR)

Multi-LoRA Composition for Image Generation

Ming Zhong, Yelong Shen, Shuohang Wang, Yadong Lu, Yizhu Jiao, Siru Ouyang, Donghan Yu, Jiawei Han, Weizhu Chen

Comments Transactions on Machine Learning Research (TMLR), 2024

Repositioning the Subject within Image

Yikai Wang, Chenjie Cao, Ke Fan, Qiaole Dong, Yifan Li, Xiangyang Xue, Yanwei Fu

Comments Accepted by TMLR. Arxiv version uses small size images. Full size PDF, code, and dataset are available at https://yikai-wang.github.io/seele/

Mitigating Relative Over-Generalization in Multi-Agent Reinforcement Learning

Ting Zhu, Yue Jin, Jeremie Houssineau, Giovanni Montana

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

An Investigation of Offline Reinforcement Learning in Factorisable Action Spaces

Alex Beeson, David Ireland, Giovanni Montana

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

Motion Diffusion-Guided 3D Global HMR from a Dynamic Camera

Jaewoo Heo, Kuan-Chieh Wang, Karen Liu, Serena Yeung-Levy

Comments 15 pages, 2 figures, submitted to TMLR

Feature Alignment: Rethinking Efficient Active Learning via Proxy in the Context of Pre-trained Models

Ziting Wen, Oscar Pizarro, Stefan Williams

Comments Accepted by Transactions on Machine Learning Research (TMLR, 2024) https://openreview.net/forum?id=PNcgJMJcdl

Excuse me, sir? Your language model is leaking (information)

Or Zamir

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

Budget-Aware Sequential Brick Assembly with Efficient Constraint Satisfaction

Seokjun Ahn, Jungtaek Kim, Minsu Cho, Jaesik Park

Comments Accepted for publication in Transactions on Machine Learning Research (TMLR). Seokjun Ahn and Jungtaek Kim equally contributed

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