TMLR Submissions

MAGDiff: Covariate Data Set Shift Detection via Activation Graphs of Neural Networks
Charles Arnal, Felix Hensel, Mathieu Carrière, Théo Lacombe, Hiroaki Kurihara, Yuichi Ike, Frederic Chazal
- Published: 13 May 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Reproducibility study of FairAC
Gijs de Jong, Macha J. Meijer, Derck W. E. Prinzhorn, Harold Ruiter
- Published: 16 Jun 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Transfer Learning with Informative Priors: Simple Baselines Better than Previously Reported
Ethan Harvey, Mikhail Petrov, Michael C Hughes
- Published: 23 May 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Reproducibility Study of "Explaining RL Decisions with Trajectories"
Clio Feng, Colin Bot, Bart den Boef, Bart Aaldering
- Published: 29 Apr 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
[Re] On the Reproducibility of Post-Hoc Concept Bottleneck Models
Nesta Midavaine, Gregory Hok Tjoan Go, Diego Canez, Ioana Simion, Satchit Chatterji
- Published: 08 May 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
[Re] Explaining Temporal Graph Models through an Explorer-Navigator Framework
Miklós Hamar, Matey Krastev, Kristiyan Danielov Hristov, David Beglou
- Published: 20 May 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
[Re] Learning Fair Graph Representations via Automated Data Augmentations
TMLR Paper2210 Authors
- 15 Feb 2024 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Parameter-efficient Multi-Task and Multi-Domain Learning using Factorized Tensor Networks
TMLR Paper2209 Authors
- 15 Feb 2024 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
A Large-Scale 3D Face Mesh Video Dataset via Neural Re-parameterized Optimization
Kim Youwang, Lee Hyun, Kim Sung-Bin, Suekyeong Nam, Janghoon Ju, Tae-Hyun Oh
- Published: 03 Sept 2024, Last Modified: 09 May 2025
- Accepted by TMLR
- Readers: Everyone
Reproducibility Study of “Studying How to Efficiently and Effectively Guide Models with Explanations”
TMLR Paper2207 Authors
- 15 Feb 2024 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Variable Complexity Weighted-Tempered Gibbs Samplers for Bayesian Variable Selection
TMLR Paper2205 Authors
- 15 Feb 2024 (modified: 17 Sept 2024)
- Withdrawn by Authors
- Readers: Everyone
'Explaining RL Decisions with Trajectories’: A Reproducibility Study
Karim Ahmed Abdel Sadek, Matteo Nulli, Joan Velja, Jort Vincenti
- Published: 31 May 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
XPL: A Cross-Model framework for Semi-Supervised Prompt Learning in Vision-Language Models
Omprakash Chakraborty, Aadarsh Sahoo, Rameswar Panda, Abir Das
- Published: 12 Jul 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Mini-Batch Optimization of Contrastive Loss
Jaewoong Cho, Kartik Sreenivasan, Keon Lee, Kyunghoo Mun, Soheun Yi, Jeong-Gwan Lee, Anna Lee, Jy-yong Sohn, Dimitris Papailiopoulos, Kangwook Lee
- Published: 17 Jul 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Transformer-Based Models Are Not Yet Perfect At Learning to Emulate Structural Recursion
Dylan Zhang, Curt Tigges, Zory Zhang, Stella Biderman, Maxim Raginsky, Talia Ringer
- Published: 24 Jul 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Scoping Review on Image-Text Multimodal Machine Learning Models
TMLR Paper2199 Authors
- 14 Feb 2024 (modified: 17 Sept 2024)
- Withdrawn by Authors
- Readers: Everyone
CompoDiff: Versatile Composed Image Retrieval With Latent Diffusion
Geonmo Gu, Sanghyuk Chun, Wonjae Kim, HeeJae Jun, Yoohoon Kang, Sangdoo Yun
- Published: 12 Jul 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Solving Inverse Problems with Model Mismatch using Untrained Neural Networks within Model-based Architectures
Peimeng Guan, Naveed Iqbal, Mark A. Davenport, Mudassir Masood
- Published: 05 May 2024, Last Modified: 09 May 2025
- Accepted by TMLR
- Readers: Everyone
[Re] GNNInterpreter: A probabilistic generative model-level explanation for Graph Neural Networks
Ana Vasilcoiu, T.H.F. Stessen, Thies Kersten, Batu Helvacioglu
- Published: 06 Jun 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Hyperbolic Random Forests
Lars Doorenbos, Pablo Márquez Neila, Raphael Sznitman, Pascal Mettes
- Published: 06 Jun 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Hierarchical Graph-Convolutional Variational Autoencoding for Generative Modelling of Human Motion
TMLR Paper2194 Authors
- 13 Feb 2024 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Improving Black-box Robustness with In-Context Rewriting
Kyle O'Brien, Nathan Hoyen Ng, Isha Puri, Jorge Mendez-Mendez, Hamid Palangi, Yoon Kim, Marzyeh Ghassemi, Thomas Hartvigsen
- Published: 04 Aug 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Language Models Are Better Than Humans at Next-token Prediction
Buck Shlegeris, Fabien Roger, Lawrence Chan, Euan McLean
- Published: 15 Jul 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Contextual Vision Transformers for Robust Representation Learning
TMLR Paper2190 Authors
- 13 Feb 2024 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Textless Low-Resource Speech-to-Speech Translation With Unit Language Models
TMLR Paper2188 Authors
- 12 Feb 2024 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone