TMLR Submissions

Sparse Modal Regression with Mode-Invariant Skew Noise
Kazuki Koyama, Takayuki Kawashima, Hironori Fujisawa
- Published: 08 Sept 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Identifiable Causal Inference with Noisy Treatment and No Side Information
Antti Pöllänen, Pekka Marttinen
- Published: 20 Sept 2024, Last Modified: 20 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Revisiting the expressiveness of CNNs: a mathematical framework for feature extraction
TMLR Paper2625 Authors
- 04 May 2024 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
A Comprehensive Survey on AI-based Methods for Patents
TMLR Paper2624 Authors
- 03 May 2024 (modified: 12 Oct 2024)
- Rejected by TMLR
- Readers: Everyone
Implicit Neural Representations for Robust Joint Sparse-View CT Reconstruction
Jiayang Shi, Junyi Zhu, Daniel Pelt, Joost Batenburg, Matthew B. Blaschko
- Published: 08 Oct 2024, Last Modified: 08 Oct 2024
- Accepted by TMLR
- Readers: Everyone
Causal Mediation Analysis with Multi-dimensional and Indirectly Observed Mediators
TMLR Paper2622 Authors
- 03 May 2024 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Parametric Entropic Locally Linear Embedding for Small Sample Size Classification
TMLR Paper2621 Authors
- 03 May 2024 (modified: 20 Sept 2024)
- Withdrawn by Authors
- Readers: Everyone
Structural Pruning of Pre-trained Language Models via Neural Architecture Search
Aaron Klein, Jacek Golebiowski, Xingchen Ma, Valerio Perrone, Cedric Archambeau
- Published: 03 Sept 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Chronos: Learning the Language of Time Series
Abdul Fatir Ansari, Lorenzo Stella, Ali Caner Turkmen, Xiyuan Zhang, Pedro Mercado, Huibin Shen, Oleksandr Shchur, Syama Sundar Rangapuram, Sebastian Pineda Arango, Shubham Kapoor, Jasper Zschiegner, Danielle C. Maddix, Hao Wang, Michael W. Mahoney, Kari Torkkola, Andrew Gordon Wilson, Michael Bohlke-Schneider, Bernie Wang
- Published: 11 Nov 2024, Last Modified: 11 Nov 2024
- Accepted by TMLR
- Readers: Everyone
Interpretability in the Era of Large Language Models: Opportunities and Challenges
TMLR Paper2618 Authors
- 02 May 2024 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Merging Text Transformer Models from Different Initializations
Neha Verma, Maha Elbayad
- Published: 08 Nov 2024, Last Modified: 08 Nov 2024
- Accepted by TMLR
- Readers: Everyone
GCondNet: A Novel Method for Improving Neural Networks on Small High-Dimensional Tabular Data
Andrei Margeloiu, Nikola Simidjievski, Pietro Lio, Mateja Jamnik
- Published: 22 Aug 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Prioritized Federated Learning: Leveraging Non-Priority Clients for Targeted Model Improvement
Aditya Narayan Ravi, Ilan Shomorony
- Published: 20 Sept 2024, Last Modified: 20 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Perceptual Similarity for Measuring Decision-Making Style and Policy Diversity in Games
Chiu-Chou Lin, Wei-Chen Chiu, I-Chen Wu
- Published: 30 Aug 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Partially Personalized Federated Learning: Breaking the Curse of Data Heterogeneity
Konstantin Mishchenko, Rustem Islamov, Eduard Gorbunov, Samuel Horváth
- Published: 03 Feb 2025, Last Modified: 03 Feb 2025
- Accepted by TMLR
- Readers: Everyone
Meta-Learning Approach for Joint Multimodal Signals with Multimodal Iterative Adaptation
Sehun Lee, Wonkwang Lee, Gunhee Kim
- Published: 04 Aug 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Sparsifying Bayesian neural networks with latent binary variables and normalizing flows
Lars Skaaret-Lund, Geir Storvik, Aliaksandr Hubin
- Published: 03 Nov 2024, Last Modified: 03 Nov 2024
- Accepted by TMLR
- Readers: Everyone
Training-free Graph Neural Networks and the Power of Labels as Features
Ryoma Sato
- Published: 17 Aug 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Privacy-Preserving Split Learning with Vision Transformers using Patch-Wise Random and Noisy CutMix
Seungeun Oh, Sihun Baek, Jihong Park, Hyelin Nam, Praneeth Vepakomma, Ramesh Raskar, Mehdi Bennis, Seong-Lyun Kim
- Published: 14 Aug 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
RandAlign: A Parameter-Free Method for Regularizing Graph Convolutional Networks
Haimin ZHANG, Min Xu
- 01 May 2024 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Meta-Learning under Task Shift
Lei Sun, Yusuke Tanaka, Tomoharu Iwata
- Published: 06 Oct 2024, Last Modified: 06 Oct 2024
- Accepted by TMLR
- Readers: Everyone
Defending Against Unknown Corrupted Agents: Reinforcement Learning of Adversarially Robust Nash Equilibria
Andi Nika, Jonathan Nöther, Adish Singla, Goran Radanovic
- Published: 16 Aug 2024, Last Modified: 09 May 2025
- Accepted by TMLR
- Readers: Everyone
A Survey of Reinforcement Learning from Human Feedback
Timo Kaufmann, Paul Weng, Viktor Bengs, Eyke Hüllermeier
- Published: 27 Jun 2025, Last Modified: 27 Jun 2025
- Accepted by TMLR
- Readers: Everyone
Interpreting CLIP: Insights on the Robustness to ImageNet Distribution Shifts
Jonathan Crabbé, Pau Rodriguez, Vaishaal Shankar, Luca Zappella, Arno Blaas
- Published: 03 Nov 2024, Last Modified: 03 Nov 2024
- Accepted by TMLR
- Readers: Everyone
Neural Clamping: Joint Input Perturbation and Temperature Scaling for Neural Network Calibration
Yung-Chen Tang, Pin-Yu Chen, Tsung-Yi Ho
- Published: 21 Jul 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone