TMLR

Improving Predictor Reliability with Selective Recalibration

Thomas P. Zollo, Zhun Deng, Jake C. Snell, Toniann Pitassi, Richard Zemel

Comments Published in Transactions on Machine Learning Research (07/2024)

Reward Guided Latent Consistency Distillation

Jiachen Li, Weixi Feng, Wenhu Chen, William Yang Wang

Comments Accepted by TMLR. Project page: https://rg-lcd.github.io/

Boosting Unsupervised Semantic Segmentation with Principal Mask Proposals

Oliver Hahn, Nikita Araslanov, Simone Schaub-Meyer, Stefan Roth

Comments Published in TMLR (September 2024) | OpenReview: see https://openreview.net/forum?id=UawaTQzfwy | Project Page: see https://visinf.github.io/primaps/ | Code: see https://github.com/visinf/primaps

Efficient Model-Agnostic Multi-Group Equivariant Networks

Razan Baltaji, Sourya Basu, Lav R. Varshney

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

Continual Learning in Open-vocabulary Classification with Complementary Memory Systems

Zhen Zhu, Weijie Lyu, Yao Xiao, Derek Hoiem

Comments Accepted by Transactions on Machine Learning Research (TMLR)

Graph Cuts with Arbitrary Size Constraints Through Optimal Transport

Chakib Fettal, Lazhar Labiod, Mohamed Nadif

Comments Published in Transactions on Machine Learning Research

IRWE: Inductive Random Walk for Joint Inference of Identity and Position Network Embedding

Meng Qin, Dit-Yan Yeung

Comments Accepted by Transactions on Machine Learning Research (TMLR)

Strategies for Pretraining Neural Operators

Anthony Zhou, Cooper Lorsung, AmirPouya Hemmasian, Amir Barati Farimani

Comments 29 pages, 5 figures

Journal ref Transactions on Machine Learning Research, 2024

Federated Learning with Reduced Information Leakage and Computation

Tongxin Yin, Xuwei Tan, Xueru Zhang, Mohammad Mahdi Khalili, Mingyan Liu

Comments Accepted by Transactions on Machine Learning Research (TMLR)

Stochastic Direct Search Method for Blind Resource Allocation

Juliette Achddou, Olivier Cappe, Aurélien Garivier

Journal ref Transactions on Machine Learning Research Journal, 2024

Learning-Based Link Anomaly Detection in Continuous-Time Dynamic Graphs

Tim Poštuvan, Claas Grohnfeldt, Michele Russo, Giulio Lovisotto

Comments Transactions on Machine Learning Research (TMLR), 2024

Online Continual Learning via Logit Adjusted Softmax

Zhehao Huang, Tao Li, Chenhe Yuan, Yingwen Wu, Xiaolin Huang

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

Gromov-Wasserstein-like Distances in the Gaussian Mixture Models Space

Antoine Salmona, Julie Delon, Agnès Desolneux

Comments accepted to TMLR

Learning Hierarchical Relational Representations through Relational Convolutions

Awni Altabaa, John Lafferty

Comments 31 pages

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

Decomposition of Equivariant Maps via Invariant Maps: Application to Universal Approximation under Symmetry

Akiyoshi Sannai, Yuuki Takai, Matthieu Cordonnier

Journal ref Transactions on Machine Learning Research, 2024

Deep Generative Models through the Lens of the Manifold Hypothesis: A Survey and New Connections

Gabriel Loaiza-Ganem, Brendan Leigh Ross, Rasa Hosseinzadeh, Anthony L. Caterini, Jesse C. Cresswell

Comments TMLR 2024 (survey certification, expert certification)

A Unified Hallucination Mitigation Framework for Large Vision-Language Models

Yue Chang, Liqiang Jing, Xiaopeng Zhang, Yue Zhang

Comments Accepted by TMLR

Learning multi-modal generative models with permutation-invariant encoders and tighter variational objectives

Marcel Hirt, Domenico Campolo, Victoria Leong, Juan-Pablo Ortega

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

Membership Inference Attacks and Privacy in Topic Modeling

Nico Manzonelli, Wanrong Zhang, Salil Vadhan

Comments 13 pages + appendices and references. 9 figures

Journal ref Transactions on Machine Learning Research (2024)

LoRA Learns Less and Forgets Less

Dan Biderman, Jacob Portes, Jose Javier Gonzalez Ortiz, Mansheej Paul, Philip Greengard, Connor Jennings, Daniel King, Sam Havens, Vitaliy Chiley, Jonathan Frankle, Cody Blakeney, John P. Cunningham

Comments Final version with new experiments and analyses, as accepted to Transactions on Machine Learning Research, August 2024 (Featured Certification). https://openreview.net/forum?id=aloEru2qCG&noteId=Jb3PQNQDI2

Learned feature representations are biased by complexity, learning order, position, and more

Andrew Kyle Lampinen, Stephanie C. Y. Chan, Katherine Hermann

Comments Published in TMLR: https://openreview.net/forum?id=aY2nsgE97a

Continual Adaptation of Vision Transformers for Federated Learning

Shaunak Halbe, James Seale Smith, Junjiao Tian, Zsolt Kira

Comments Transactions on Machine Learning Research (TMLR) 2024

A Fisher-Rao gradient flow for entropic mean-field min-max games

Razvan-Andrei Lascu, Mateusz B. Majka, Łukasz Szpruch

Comments 24 pages. arXiv admin note: text overlap with arXiv:2306.03033

Journal ref Transactions on Machine Learning Research (2024)

Fairness Under Demographic Scarce Regime

Patrik Joslin Kenfack, Samira Ebrahimi Kahou, Ulrich Aïvodji

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

About the Cost of Central Privacy in Density Estimation

Clément Lalanne, Aurélien Garivier, Rémi Gribonval

Comments Transactions on Machine Learning Research Journal, 2023

On the Statistical Complexity of Estimation and Testing under Privacy Constraints

Clément Lalanne, Aurélien Garivier, Rémi Gribonval

Journal ref Transactions on Machine Learning Research Journal, 2023

Learning by Self-Explaining

Wolfgang Stammer, Felix Friedrich, David Steinmann, Manuel Brack, Hikaru Shindo, Kristian Kersting

Journal ref Transactions on Machine Learning Research 2024

Overcoming the Stability Gap in Continual Learning

Md Yousuf Harun, Christopher Kanan

Comments Accepted to TMLR 2024

Harnessing the Power of Federated Learning in Federated Contextual Bandits

Chengshuai Shi, Ruida Zhou, Kun Yang, Cong Shen

Comments Accepted to Transactions on Machine Learning Research (07/2024); a preliminary version appeared in the Multi-Agent Security Workshop at NeurIPS 2023

A Note on the Convergence of Denoising Diffusion Probabilistic Models

Sokhna Diarra Mbacke, Omar Rivasplata

Comments Published at TMLR in 2024