TMLR

Rethinking Teacher-Student Curriculum Learning through the Cooperative Mechanics of Experience

Manfred Diaz, Liam Paull, Andrea Tacchetti

Comments Accepted at TMLR (https://openreview.net/forum?id=qWh82br6KT)

On the Equivalence of Graph Convolution and Mixup

Xiaotian Han, Hanqing Zeng, Yu Chen, Shaoliang Nie, Jingzhou Liu, Kanika Narang, Zahra Shakeri, Karthik Abinav Sankararaman, Song Jiang, Madian Khabsa, Qifan Wang, Xia Hu

Comments Accepted by TMLR

Large Language Models Synergize with Automated Machine Learning

Jinglue Xu, Jialong Li, Zhen Liu, Nagar Anthel Venkatesh Suryanarayanan, Guoyuan Zhou, Jia Guo, Hitoshi Iba, Kenji Tei

Comments published at TMLR

A Bag of Tricks for Few-Shot Class-Incremental Learning

Shuvendu Roy, Chunjong Park, Aldi Fahrezi, Ali Etemad

Comments Accepted in Transactions on Machine Learning Research (TMLR)

Path Development Network with Finite-dimensional Lie Group Representation

Hang Lou, Siran Li, Hao Ni

Journal ref Transactions on Machine Learning Research (08/2024)

TacoGFN: Target-conditioned GFlowNet for Structure-based Drug Design

Tony Shen, Seonghwan Seo, Grayson Lee, Mohit Pandey, Jason R Smith, Artem Cherkasov, Woo Youn Kim, Martin Ester

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

Probabilistic Matching of Real and Generated Data Statistics in Generative Adversarial Networks

Philipp Pilar, Niklas Wahlström

Journal ref Transactions on Machine Learning Research, 2024

Contrastive Learning with Consistent Representations

Zihu Wang, Yu Wang, Zhuotong Chen, Hanbin Hu, Peng Li

Comments Accepted by TMLR

Reproducibility Study Of Learning Fair Graph Representations Via Automated Data Augmentations

Thijmen Nijdam, Juell Sprott, Taiki Papandreou-Lazos, Jurgen de Heus

Comments Accepted at TMLR, 15 pages, 6 figures, 9 tables (incl. Appendix)

Multi-Fidelity Active Learning with GFlowNets

Alex Hernandez-Garcia, Nikita Saxena, Moksh Jain, Cheng-Hao Liu, Yoshua Bengio

Comments Published in Transactions on Machine Learning Research (TMLR) 07/2024 https://openreview.net/forum?id=dLaazW9zuF

Journal ref Transactions on Machine Learning Research (TMLR) 07/2024 https://openreview.net/forum?id=dLaazW9zuF

Semantic Self-adaptation: Enhancing Generalization with a Single Sample

Sherwin Bahmani, Oliver Hahn, Eduard Zamfir, Nikita Araslanov, Daniel Cremers, Stefan Roth

Comments Published in TMLR (July 2023) | OpenReview: https://openreview.net/forum?id=ILNqQhGbLx | Code: https://github.com/visinf/self-adaptive | Video: https://youtu.be/s4DG65ic0EA

Journal ref Transactions on Machine Learning Research (TMLR) 2023

Identifying and Clustering Counter Relationships of Team Compositions in PvP Games for Efficient Balance Analysis

Chiu-Chou Lin, Yu-Wei Shih, Kuei-Ting Kuo, Yu-Cheng Chen, Chien-Hua Chen, Wei-Chen Chiu, I-Chen Wu

Comments TMLR 09/2024 https://openreview.net/forum?id=2D36otXvBE

Perceptual Similarity for Measuring Decision-Making Style and Policy Diversity in Games

Chiu-Chou Lin, Wei-Chen Chiu, I-Chen Wu

Comments TMLR 08/2024 https://openreview.net/forum?id=30C9AWBW49

Incorporating Unlabelled Data into Bayesian Neural Networks

Mrinank Sharma, Tom Rainforth, Yee Whye Teh, Vincent Fortuin

Comments Published in the Transactions on Machine Learning Research

Sensitivity-Aware Amortized Bayesian Inference

Lasse Elsemüller, Hans Olischläger, Marvin Schmitt, Paul-Christian Bürkner, Ullrich Köthe, Stefan T. Radev

Comments Published in TMLR (2024)

Journal ref Transactions on Machine Learning Research (08/2024)

Variational Bayesian Imaging with an Efficient Surrogate Score-based Prior

Berthy T. Feng, Katherine L. Bouman

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

Decoupling Pixel Flipping and Occlusion Strategy for Consistent XAI Benchmarks

Stefan Blücher, Johanna Vielhaben, Nils Strodthoff

Comments 28 pages, 8 figures

Journal ref Version published by Transactions on Machine Learning Research in 2024 (TMLR ISSN 2835-8856) https://openreview.net/forum?id=bIiLXdtUVM

Learning k-Level Structured Sparse Neural Networks Using Group Envelope Regularization

Yehonathan Refael, Iftach Arbel, Wasim Huleihel

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

Re-Thinking Inverse Graphics With Large Language Models

Peter Kulits, Haiwen Feng, Weiyang Liu, Victoria Abrevaya, Michael J. Black

Comments TMLR camera-ready; 31 pages; project page: https://ig-llm.is.tue.mpg.de/

Mechanistic Interpretability for AI Safety -- A Review

Leonard Bereska, Efstratios Gavves

Comments Accepted to TMLR; for an HTML version, visit https://leonardbereska.github.io/blog/2024/mechinterpreview/

Lyra: Orchestrating Dual Correction in Automated Theorem Proving

Chuanyang Zheng, Haiming Wang, Enze Xie, Zhengying Liu, Jiankai Sun, Huajian Xin, Jianhao Shen, Zhenguo Li, Yu Li

Comments Accepted to TMLR: https://openreview.net/forum?id=9Z0yB8rmQ2

Robust Feature Inference: A Test-time Defense Strategy using Spectral Projections

Anurag Singh, Mahalakshmi Sabanayagam, Krikamol Muandet, Debarghya Ghoshdastidar

Comments Published in TMLR (28 pages, 6 figures, 20 tables)

Leveraging Task Structures for Improved Identifiability in Neural Network Representations

Wenlin Chen, Julien Horwood, Juyeon Heo, José Miguel Hernández-Lobato

Comments Published in Transactions on Machine Learning Research (TMLR 08/2024)

Graph Reinforcement Learning for Combinatorial Optimization: A Survey and Unifying Perspective

Victor-Alexandru Darvariu, Stephen Hailes, Mirco Musolesi

Comments To appear in Transactions on Machine Learning Research (TMLR)

Efficient and Robust Quantization-aware Training via Adaptive Coreset Selection

Xijie Huang, Zechun Liu, Shih-Yang Liu, Kwang-Ting Cheng

Comments Accepted by TMLR, Code: https://github.com/HuangOwen/QAT-ACS

Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Emre Kıcıman, Robert Ness, Amit Sharma, Chenhao Tan

Comments Added three novel datasets. To be published in TMLR. Authors listed alphabetically

XAI-Based Detection of Adversarial Attacks on Deepfake Detectors

Ben Pinhasov, Raz Lapid, Rony Ohayon, Moshe Sipper, Yehudit Aperstein

Comments Accepted at TMLR 2024

Journal ref Transactions on Machine Learning Research, 2024

Continual HyperTransformer: A Meta-Learner for Continual Few-Shot Learning

Max Vladymyrov, Andrey Zhmoginov, Mark Sandler

Comments TMLR

GCondNet: A Novel Method for Improving Neural Networks on Small High-Dimensional Tabular Data

Andrei Margeloiu, Nikola Simidjievski, Pietro Lio, Mateja Jamnik

Comments Published in Transactions on Machine Learning Research (TMLR) 2024. Also accepted and selected for oral presentation at NeurIPS 2023 - Table Representation Learning Workshop

Training-free Graph Neural Networks and the Power of Labels as Features

Ryoma Sato

Comments TMLR 2024