TMLR Submissions

NovelCraft: A Dataset for Novelty Detection and Discovery in Open Worlds
Cynthia Feeney, Sarah Schneider, Panagiotis Lymperopoulos, Liping Liu, Matthias Scheutz, Michael C Hughes
- Published: 11 Apr 2023, Last Modified: 31 Jul 2025
- Accepted by TMLR
- Readers: Everyone
Reusable Options through Gradient-based Meta Learning
David Kuric, Herke van Hoof
- Published: 28 Mar 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
A Measure of the Complexity of Neural Representations based on Partial Information Decomposition
David Alexander Ehrlich, Andreas Christian Schneider, Viola Priesemann, Michael Wibral, Abdullah Makkeh
- Published: 18 May 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Fast&Fair: Training Acceleration and Bias Mitigation for GNNs
Oyku Deniz Kose, Yanning Shen
- Published: 10 May 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Adaptive Cross Batch Normalization for Metric Learning
TMLR Paper713 Authors
- 21 Dec 2022 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Enhancing image captioning with depth information using a Transformer-based framework
Aya Mahmoud Ahmed, Mohamed Yousef Bassyouni, Khaled Fatehy Hussain, Yousef Bassyouni Mahdy
- 20 Dec 2022 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Trip-ROMA: Self-Supervised Learning with Triplets and Random Mappings
Wenbin Li, Xuesong Yang, Meihao Kong, Lei Wang, Jing Huo, Yang Gao, Jiebo Luo
- Published: 16 May 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
On 3D Reconstruction Pre-training to Improve Adversarial Robustness
TMLR Paper710 Authors
- 20 Dec 2022 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
How Robust is Your Fairness? Evaluating and Sustaining Fairness under Unseen Distribution Shifts
Haotao Wang, Junyuan Hong, Jiayu Zhou, Zhangyang Wang
- Published: 14 Mar 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Contrastive Distillation Is a Sample-Efficient Self-Supervised Loss Policy for Transfer Learning
TMLR Paper708 Authors
- 19 Dec 2022 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
The Robustness Limits of SoTA Vision Models to Natural Variation
Mark Ibrahim, Quentin Garrido, Ari S. Morcos, Diane Bouchacourt
- Published: 02 Jun 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
A Separation Law of Membership Privacy between One- and Two-Layer Networks
TMLR Paper706 Authors
- 19 Dec 2022 (modified: 17 Sept 2024)
- Withdrawn by Authors
- Readers: Everyone
Mixed effects in machine learning – A flexible mixedML framework to add random effects to supervised machine learning regression
Pascal Kilian, Sangbeak Ye, Augustin Kelava
- Published: 03 Mar 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
U-NO: U-shaped Neural Operators
Md Ashiqur Rahman, Zachary E Ross, Kamyar Azizzadenesheli
- Published: 12 May 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
CLIP-TSA: CLIP-Assisted Temporal Self-Attention for Weakly-Supervised Video Anomaly Detection
TMLR Paper702 Authors
- 17 Dec 2022 (modified: 17 Sept 2024)
- Withdrawn by Authors
- Readers: Everyone
Privacy-Preserving Energy-Based Generative Models for Marginal Distribution Protection
Robert E. Tillman, Tucker Balch, Manuela Veloso
- Published: 21 Jun 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Group Fairness in Reinforcement Learning
Harsh Satija, Alessandro Lazaric, Matteo Pirotta, Joelle Pineau
- Published: 28 Apr 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Graph Neural Networks Designed for Different Graph Types: A Survey
Josephine Thomas, Alice Moallemy-Oureh, Silvia Beddar-Wiesing, Clara Holzhüter
- Published: 30 Mar 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Successor Feature Representations
Chris Reinke, Xavier Alameda-Pineda
- Published: 23 May 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
A Kernel Perspective on Behavioural Metrics for Markov Decision Processes
Pablo Samuel Castro, Tyler Kastner, Prakash Panangaden, Mark Rowland
- Published: 19 Jun 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
A Novel Information Theoretic Objective to Disentangle Representations for Fair Textual Classification
TMLR Paper695 Authors
- 13 Dec 2022 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
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, Russ Salakhutdinov
- Published: 30 May 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Multi-objective Bayesian Optimization with Heuristic Objectives for Biomedical and Molecular Data Analysis Workflows
Alina Selega, Kieran R. Campbell
- Published: 20 Mar 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Bridging Graph Position Encodings for Transformers with Weighted Graph-Walking Automata
Patrick Soga, David Chiang
- Published: 09 Apr 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Adaptive Compression for Communication-Efficient Distributed Training
Maksim Makarenko, Elnur Gasanov, Abdurakhmon Sadiev, Rustem Islamov, Peter Richtárik
- Published: 07 Aug 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone