TMLR Submissions

FairGrad: Fairness Aware Gradient Descent
Gaurav Maheshwari, Michaël Perrot
- Published: 18 Aug 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Minorization-Maximization for Learning Determinantal Point Processes
Takahiro Kawashima, Hideitsu Hino
- Published: 06 Nov 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Learned Thresholds Token Merging and Pruning for Vision Transformers
Maxim Bonnaerens, Joni Dambre
- Published: 16 Aug 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Momentum Tracking: Momentum Acceleration for Decentralized Deep Learning on Heterogeneous Data
Yuki Takezawa, Han Bao, Kenta Niwa, Ryoma Sato, Makoto Yamada
- Published: 20 Sept 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Communication Efficient Federated Learning over Wireless Channels using Robust Count Sketches
TMLR Paper1150 Authors
- 11 May 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Cross-validation for Geospatial Data: Estimating Generalization Performance in Geostatistical Problems
Jing Wang, Laurel Hopkins, Tyler Hallman, W. Douglas Robinson, Rebecca Hutchinson
- Published: 04 Oct 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
The ConceptARC Benchmark: Evaluating Understanding and Generalization in the ARC Domain
Arsenii Kirillovich Moskvichev, Victor Vikram Odouard, Melanie Mitchell
- Published: 07 Aug 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Optimizing Learning Rate Schedules for Iterative Pruning of Deep Neural Networks
Shiyu Liu, Rohan Ghosh, John Chong Min Tan, Mehul Motani
- Published: 12 Aug 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Accelerating Fair Federated Learning: Adaptive Federated Adam
TMLR Paper1146 Authors
- 11 May 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Task Weighting in Meta-learning with Trajectory Optimisation
Cuong C. Nguyen, Thanh-Toan Do, Gustavo Carneiro
- Published: 07 Sept 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Not All Causal Inference is the Same
Matej Zečević, Devendra Singh Dhami, Kristian Kersting
- Published: 30 Oct 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Sample Average Approximation for Black-Box Variational Inference
TMLR Paper1143 Authors
- 10 May 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Causal Parrots: Large Language Models May Talk Causality But Are Not Causal
Matej Zečević, Moritz Willig, Devendra Singh Dhami, Kristian Kersting
- Published: 01 Sept 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Self-Attention in Colors: Another Take on Encoding Graph Structure in Transformers
Romain Menegaux, Emmanuel Jehanno, Margot Selosse, Julien Mairal
- Published: 19 Oct 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Influence Learning in Complex Systems
TMLR Paper1140 Authors
- 10 May 2023 (modified: 25 Apr 2025)
- Rejected by TMLR
- Readers: Everyone
Meta-Learning via Classifier(-free) Diffusion Guidance
Elvis Nava, Seijin Kobayashi, Yifei Yin, Robert K. Katzschmann, Benjamin F Grewe
- Published: 14 Aug 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Learning representations that are closed-form Monge mapping optimal with application to domain adaptation
Oliver Struckmeier, Ievgen Redko, Anton Mallasto, Karol Arndt, Markus Heinonen, Ville Kyrki
- Published: 01 Aug 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Personalized Federated Learning with Communication Compression
El houcine Bergou, Konstantin Pavlovich Burlachenko, Aritra Dutta, Peter Richtárik
- Published: 23 Nov 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Kernel Normalized Convolutional Networks
TMLR Paper1136 Authors
- 09 May 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Mixture of Dynamical Variational Autoencoders for Multi-Source Trajectory Modeling and Separation
Xiaoyu Lin, Laurent Girin, Xavier Alameda-Pineda
- Published: 16 Dec 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Beyond Distribution Shift: Spurious Features Through the Lens of Training Dynamics
Nihal Murali, Aahlad Manas Puli, Ke Yu, Rajesh Ranganath, kayhan Batmanghelich
- Published: 24 Oct 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
On Equivalences between Weight and Function-Space Langevin Dynamics
TMLR Paper1132 Authors
- 08 May 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Federated $K$-Means Clustering via Dual Decomposition-based Distributed Optimization
TMLR Paper1131 Authors
- 07 May 2023 (modified: 17 Sept 2024)
- Withdrawn by Authors
- Readers: Everyone
CAE v2: Context Autoencoder with CLIP Latent Alignment
Xinyu Zhang, Jiahui Chen, Junkun Yuan, Qiang Chen, Jian Wang, Xiaodi Wang, Shumin Han, Xiaokang Chen, Jimin Pi, Kun Yao, Junyu Han, Errui Ding, Jingdong Wang
- Published: 05 Oct 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Graph Neural Networks for Temporal Graphs: State of the Art, Open Challenges, and Opportunities
Antonio Longa, Veronica Lachi, Gabriele Santin, Monica Bianchini, Bruno Lepri, Pietro Lio, franco scarselli, Andrea Passerini
- Published: 19 Aug 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone