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PruneFuse: Efficient Data Selection via Weight Pruning and Network Fusion
Humaira Kousar, Hasnain Irshad Bhatti, Jaekyun Moon
- Published: 11 Mar 2026, Last Modified: 11 Mar 2026
- Accepted by TMLR
- Readers: Everyone
InfoScale: Unleashing Training-free Variable-scaled Image Generation via Effective Utilization of Information
Guohui Zhang, Jiangtong Tan, Linjiang Huang, Zhonghang Yuan, Mingde Yao, Jie Huang, Feng Zhao
- Published: 10 May 2026, Last Modified: 10 May 2026
- Accepted by TMLR
- Readers: Everyone
Phase Transitions or Continuous Evolution? Methodological Sensitivity in Neural Network Training Dynamics
TMLR Paper6615 Authors
- 23 Nov 2025 (modified: 24 Apr 2026)
- Rejected by TMLR
- Readers: Everyone
Open-Set Domain Adaptation Under Background Distribution Shift: Challenges and A Provably Efficient Solution
Shravan S Chaudhari, Yoav Wald, Suchi Saria
- Published: 18 May 2026, Last Modified: 18 May 2026
- Accepted by TMLR
- Readers: Everyone
Inference-Time Alignment via Hypothesis Reweighting
Yoonho Lee, Jonathan Williams, Henrik Marklund, Archit Sharma, Eric Mitchell, Anikait Singh, Chelsea Finn
- Published: 21 May 2026, Last Modified: 21 May 2026
- Accepted by TMLR
- Readers: Everyone
Accurate Split Learning on Noisy Signals
Hang Xu, Subhajit Maity, Aritra Dutta, Xin Li, Panos Kalnis
- Published: 01 Apr 2026, Last Modified: 01 Apr 2026
- Accepted by TMLR
- Readers: Everyone
PhasorTransformer: Integrating Rotational Inductive Biases for Complex-Valued Sequence Modeling
TMLR Paper6609 Authors
- 22 Nov 2025 (modified: 31 Dec 2025)
- Withdrawn by Authors
- Readers: Everyone
SpikingBrain: Spiking Brain-inspired Large Models
Yuqi Pan, Yupeng Feng, JingHao Zhuang, siyu ding, Han Xu, Zehao Liu, Bohan Sun, Yuhong Chou, Xuerui Qiu, Anlin Deng, Anjie Hu, Shurong Wang, Peng Zhou, Man Yao, Jibin Wu, jian yang, 孙国梁, Bo XU, Guoqi Li
- Published: 25 Mar 2026, Last Modified: 25 Mar 2026
- Accepted by TMLR
- Readers: Everyone
Diversity Boosts AI-Generated Text Detection
Advik Raj Basani, Pin-Yu Chen
- Published: 23 Feb 2026, Last Modified: 23 Feb 2026
- Accepted by TMLR
- Readers: Everyone
Reward Engineering for Spatial Epidemic Simulations: A Reinforcement Learning Platform for Individual Behavioral Learning
Radman Rakhshandehroo, Daniel Coombs
- Published: 24 Mar 2026, Last Modified: 24 Mar 2026
- Accepted by TMLR
- Readers: Everyone
Incremental Feature Selection in Dynamic Incomplete Ordered Decision Systems
TMLR Paper6604 Authors
- 22 Nov 2025 (modified: 16 Feb 2026)
- Rejected by TMLR
- Readers: Everyone
Adaptive Online Mirror Descent for Tchebycheff Scalarization in Multi-Objective Learning
Meitong Liu, Xiaoyuan Zhang, Chulin Xie, Kate Donahue, Han Zhao
- Published: 19 Mar 2026, Last Modified: 19 Mar 2026
- Accepted by TMLR
- Readers: Everyone
Rethinking Developmental Curricula for Contrastive Visual Learning
TMLR Paper6602 Authors
- 21 Nov 2025 (modified: 11 Apr 2026)
- Rejected by TMLR
- Readers: Everyone
Learn to Explore: Meta NAS via Bayesian Optimization Guided Graph Generation
TMLR Paper6601 Authors
- 21 Nov 2025 (modified: 09 Mar 2026)
- Rejected by TMLR
- Readers: Everyone
ChromaFormer: A Scalable and Accurate Transformer Architecture for Land Cover Classification
Mingshi Li, Dusan Grujicic, Ben Somers, Stien Heremans, Steven De Saeger, Matthew B. Blaschko
- Published: 26 May 2026, Last Modified: 26 May 2026
- Accepted by TMLR
- Readers: Everyone
Juliet: Per-Sample Conditional Branching for Efficient Con- volutional Networks
TMLR Paper6598 Authors
- 21 Nov 2025 (modified: 02 Mar 2026)
- Rejected by TMLR
- Readers: Everyone
Linear Convergence and Generalization of FedAvg Under Constrained PL-Type Assumptions: A Single Hidden Layer Neural Network Analysis
TMLR Paper6597 Authors
- 21 Nov 2025 (modified: 21 Apr 2026)
- Rejected by TMLR
- Readers: Everyone
Steering Large Reasoning Models towards Concise Reasoning via Flow Matching
Yawei Li, Benjamin Bergner, Yinghan Zhao, Vihang Prakash Patil, Bei Chen, Cheng Wang
- Published: 10 Feb 2026, Last Modified: 10 Feb 2026
- Accepted by TMLR
- Readers: Everyone
Structure is Supervision: Multiview Masked Autoencoders for Radiology
Sonia Laguna, Andrea Agostini, Alain Ryser, Samuel Ruiperez-Campillo, Irene Cannistraci, Moritz Vandenhirtz, Stephan Mandt, Nicolas Deperrois, Farhad Nooralahzadeh, Michael Krauthammer, Thomas M. Sutter, Julia E Vogt
- Published: 02 Apr 2026, Last Modified: 02 Apr 2026
- Accepted by TMLR
- Readers: Everyone
The Confusion is Real: GRAPHIC - A Network Science Approach to Confusion Matrices in Deep Learning
Johanna S. Fröhlich, Bastian Heinlein, Jan U. Claar, Hans Rosenberger, Vasileios Belagiannis, Ralf R. Müller
- Published: 21 Jan 2026, Last Modified: 11 May 2026
- Accepted by TMLR
- Readers: Everyone
Bayesian Optimisation via Difference-of-Convex Thompson Sampling
TMLR Paper6592 Authors
- 21 Nov 2025 (modified: 19 Mar 2026)
- Under review for TMLR
- Readers: Everyone
Improving Generalization and Data Efficiency with Diffusion in Offline Multi-agent RL
Zhuoran Li, Ling Pan, Jiatai Huang, Longbo Huang
- Published: 22 May 2026, Last Modified: 22 May 2026
- Accepted by TMLR
- Readers: Everyone
Flex-Act: Why Learn when you can Pick?
TMLR Paper6590 Authors
- 21 Nov 2025 (modified: 07 Jun 2026)
- Decision pending for TMLR
- Readers: Everyone
TS-Reasoner: Domain-Oriented Time Series Inference Agents for Reasoning and Automated Analysis
Wen Ye, Wei Yang, Defu Cao, Yizhou Zhang, Lumingyuan Tang, Jie Cai, Yan Liu
- Published: 20 Mar 2026, Last Modified: 20 Mar 2026
- Accepted by TMLR
- Readers: Everyone
Go Beyond Your Means: Unlearning with Per-Sample Gradient Orthogonalization
TMLR Paper6588 Authors
- 20 Nov 2025 (modified: 20 Feb 2026)
- Rejected by TMLR
- Readers: Everyone

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