TMLR

Execution-based Code Generation using Deep Reinforcement Learning

Parshin Shojaee, Aneesh Jain, Sindhu Tipirneni, Chandan K. Reddy

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

Journal ref Transactions on Machine Learning Research (TMLR), 2023

The Meta-Evaluation Problem in Explainable AI: Identifying Reliable Estimators with MetaQuantus

Anna Hedström, Philine Bommer, Kristoffer K. Wickstrøm, Wojciech Samek, Sebastian Lapuschkin, Marina M. -C. Höhne

Comments 35 pages, 15 figures, 5 tables

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

Tackling Provably Hard Representative Selection via Graph Neural Networks

Mehran Kazemi, Anton Tsitsulin, Hossein Esfandiari, MohammadHossein Bateni, Deepak Ramachandran, Bryan Perozzi, Vahab Mirrokni

Comments Accepted at the Transactions of Machine Learning Research (TMLR) Journal

Linearized Relative Positional Encoding

Zhen Qin, Weixuan Sun, Kaiyue Lu, Hui Deng, Dongxu Li, Xiaodong Han, Yuchao Dai, Lingpeng Kong, Yiran Zhong

Comments Reviewed by TMLR, decision pending. Yiran Zhong is the corresponding author. Code is available at https://github.com/OpenNLPLab/Lrpe

A Unified Perspective on Natural Gradient Variational Inference with Gaussian Mixture Models

Oleg Arenz, Philipp Dahlinger, Zihan Ye, Michael Volpp, Gerhard Neumann

Comments This version corresponds to the camera ready version published at Transactions of Machine Learning Research (TMLR). https://openreview.net/forum?id=tLBjsX4tjs

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

Unsupervised Discovery and Composition of Object Light Fields

Cameron Smith, Hong-Xing Yu, Sergey Zakharov, Fredo Durand, Joshua B. Tenenbaum, Jiajun Wu, Vincent Sitzmann

Comments Project website: https://cameronosmith.github.io/colf. TMLR 2023

Efficient Reward Poisoning Attacks on Online Deep Reinforcement Learning

Yinglun Xu, Qi Zeng, Gagandeep Singh

Comments Accepted by TMLR

Towards a More Rigorous Science of Blindspot Discovery in Image Classification Models

Gregory Plumb, Nari Johnson, Ángel Alexander Cabrera, Ameet Talwalkar

Comments reviewed on OpenReview: https://openreview.net/forum?id=MaDvbLaBiF

Journal ref TMLR 2023

Self-Supervised Graph Representation Learning for Neuronal Morphologies

Marissa A. Weis, Laura Hansel, Timo Lüddecke, Alexander S. Ecker

Journal ref Transactions on Machine Learning Research (TMLR), 2023

On the Predictive Accuracy of Neural Temporal Point Process Models for Continuous-time Event Data

Tanguy Bosser, Souhaib Ben Taieb

Comments Published in Transactions of Machine Learning Research (TMLR)

Numerical Data Imputation for Multimodal Data Sets: A Probabilistic Nearest-Neighbor Kernel Density Approach

Florian Lalande, Kenji Doya

Comments 30 pages, 8 figures, accepted in TMLR (Reproducibility certification)

Journal ref Transactions on Machine Learning Research, June 2023

DORA: Exploring Outlier Representations in Deep Neural Networks

Kirill Bykov, Mayukh Deb, Dennis Grinwald, Klaus-Robert Müller, Marina M. -C. Höhne

Comments 24 pages, 18 figures

Journal ref Published in Transactions on Machine Learning Research (06/2023)

Sparse MoEs meet Efficient Ensembles

James Urquhart Allingham, Florian Wenzel, Zelda E Mariet, Basil Mustafa, Joan Puigcerver, Neil Houlsby, Ghassen Jerfel, Vincent Fortuin, Balaji Lakshminarayanan, Jasper Snoek, Dustin Tran, Carlos Riquelme Ruiz, Rodolphe Jenatton

Comments 59 pages, 26 figures, 36 tables. Accepted at TMLR

Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations

Cong Lu, Philip J. Ball, Tim G. J. Rudner, Jack Parker-Holder, Michael A. Osborne, Yee Whye Teh

Comments Published at TMLR, 2023

Differentiable Logic Machines

Matthieu Zimmer, Xuening Feng, Claire Glanois, Zhaohui Jiang, Jianyi Zhang, Paul Weng, Dong Li, Jianye Hao, Wulong Liu

Comments Transactions on Machine Learning Research (TMLR)

Breaking the Spurious Causality of Conditional Generation via Fairness Intervention with Corrective Sampling

Junhyun Nam, Sangwoo Mo, Jaeho Lee, Jinwoo Shin

Comments TMLR 2023

Active Acquisition for Multimodal Temporal Data: A Challenging Decision-Making Task

Jannik Kossen, Cătălina Cangea, Eszter Vértes, Andrew Jaegle, Viorica Patraucean, Ira Ktena, Nenad Tomasev, Danielle Belgrave

Comments Published in Transactions on Machine Learning Research. Previous version accepted to Foundation Models for Decision Making Workshop at NeurIPS 2022

Learning to Switch Among Agents in a Team via 2-Layer Markov Decision Processes

Vahid Balazadeh, Abir De, Adish Singla, Manuel Gomez-Rodriguez

Comments Published in Transactions on Machine Learning Research

Towards fully covariant machine learning

Soledad Villar, David W. Hogg, Weichi Yao, George A. Kevrekidis, Bernhard Schölkopf

Comments substantial revision from v1; submitted to TMLR

CoCoFL: Communication- and Computation-Aware Federated Learning via Partial NN Freezing and Quantization

Kilian Pfeiffer, Martin Rapp, Ramin Khalili, Jörg Henkel

Comments Published at TMLR

Journal ref Transactions on Machine Learning Research, 06/2023

High-Modality Multimodal Transformer: Quantifying Modality & Interaction Heterogeneity for High-Modality Representation Learning

Paul Pu Liang, Yiwei Lyu, Xiang Fan, Jeffrey Tsaw, Yudong Liu, Shentong Mo, Dani Yogatama, Louis-Philippe Morency, Ruslan Salakhutdinov

Comments TMLR 2023, Code available at https://github.com/pliang279/HighMMT

Improving Differentially Private SGD via Randomly Sparsified Gradients

Junyi Zhu, Matthew B. Blaschko

Journal ref Transactions on Machine Learning Research (06/2023)

Provably Convergent Policy Optimization via Metric-aware Trust Region Methods

Jun Song, Niao He, Lijun Ding, Chaoyue Zhao

Journal ref Transactions on Machine Learning Research, 2023

Sequential Query Encoding For Complex Query Answering on Knowledge Graphs

Jiaxin Bai, Tianshi Zheng, Yangqiu Song

Comments Accepted by TMLR

Training with Mixed-Precision Floating-Point Assignments

Wonyeol Lee, Rahul Sharma, Alex Aiken

Comments Published in TMLR

Instance-Adaptive Video Compression: Improving Neural Codecs by Training on the Test Set

Ties van Rozendaal, Johann Brehmer, Yunfan Zhang, Reza Pourreza, Auke Wiggers, Taco S. Cohen

Comments Matches version published in TMLR

Finding Competence Regions in Domain Generalization

Jens Müller, Stefan T. Radev, Robert Schmier, Felix Draxler, Carsten Rother, Ullrich Köthe

Comments The paper has been published at TMLR (see https://openreview.net/forum?id=TSy0vuwQFN)

Journal ref Transactions on Machine Learning Research (06/2023)

You Only Transfer What You Share: Intersection-Induced Graph Transfer Learning for Link Prediction

Wenqing Zheng, Edward W Huang, Nikhil Rao, Zhangyang Wang, Karthik Subbian

Comments Accepted in TMLR (https://openreview.net/forum?id=Nn71AdKyYH)

Multi-dimensional concept discovery (MCD): A unifying framework with completeness guarantees

Johanna Vielhaben, Stefan Blücher, Nils Strodthoff

Comments v2: Version published by Transactions on Machine Learning Research in 2023 (TMLR ISSN 2835-8856) https://openreview.net/forum?id=KxBQPz7HKh. 25 pages, 11 figures. This work builds on an earlier manuscript (arXiv:2203.06043) and crucially extends it. Code is available at https://github.com/jvielhaben/MCD-XAI

Journal ref Version published by Transactions on Machine Learning Research in 2023 (TMLR ISSN 2835-8856) https://openreview.net/forum?id=KxBQPz7HKh

Event Tables for Efficient Experience Replay

Varun Kompella, Thomas J. Walsh, Samuel Barrett, Peter Wurman, Peter Stone

Journal ref Transactions on Machine Learning Research, 2023