TMLR Submissions

LIPEx – Locally Interpretable Probabilistic Explanations – To Look Beyond The True Class
TMLR Paper1891 Authors
- 03 Dec 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Vision-Language Instruction Tuning: A Review and Analysis
Chen Li, Yixiao Ge, Dian Li, Ying Shan
- Published: 14 Jul 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Granger Causal Interaction Skill Chains
Caleb Chuck, Kevin Black, Aditya Arjun, Yuke Zhu, Scott Niekum
- Published: 16 Mar 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Synthetic data shuffling accelerates the convergence of federated learning under data heterogeneity
Bo Li, Yasin Esfandiari, Mikkel N. Schmidt, Tommy Sonne Alstrøm, Sebastian U Stich
- Published: 01 Apr 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
GUARD: A Safe Reinforcement Learning Benchmark
Weiye Zhao, Yifan Sun, Feihan Li, Rui Chen, Ruixuan Liu, Tianhao Wei, Changliu Liu
- Published: 13 Apr 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Choosing the parameter of the Fermat distance: navigating geometry and noise
Frederic Chazal, Laure Ferraris, Pablo Groisman, Matthieu Jonckheere, Frederic Pascal, Facundo Fabián Sapienza
- Published: 26 Jun 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Noncommutative $C^*$-algebra Net: Learning Neural Networks with Powerful Product Structure in $C^*$-algebra
TMLR Paper1884 Authors
- 01 Dec 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Personalised Federated Learning On Heterogeneous Feature Spaces
TMLR Paper1883 Authors
- 01 Dec 2023 (modified: 17 Sept 2024)
- Withdrawn by Authors
- Readers: Everyone
Accurate Neural Network Pruning Requires Rethinking Sparse Optimization
Denis Kuznedelev, Eldar Kurtic, Eugenia Iofinova, Elias Frantar, Alexandra Peste, Dan Alistarh
- Published: 22 Jun 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Multi-conditioned Graph Diffusion for Neural Architecture Search
Rohan Asthana, Joschua Conrad, Youssef Dawoud, Maurits Ortmanns, Vasileios Belagiannis
- Published: 09 Mar 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
CLIP meets Model Zoo Experts: Pseudo-Supervision for Visual Enhancement
Mohammadreza Salehi, Mehrdad Farajtabar, Maxwell Horton, Fartash Faghri, Hadi Pouransari, Raviteja Vemulapalli, Oncel Tuzel, Ali Farhadi, Mohammad Rastegari, Sachin Mehta
- Published: 27 May 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
IDEAL: Interpretable-by-Design ALgorithms for learning from foundation feature spaces
TMLR Paper1879 Authors
- 28 Nov 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
On the Convergence of Adaptive Gradient Methods for Nonconvex Optimization
Dongruo Zhou, Jinghui Chen, Yuan Cao, Ziyan Yang, Quanquan Gu
- Published: 16 Mar 2024, Last Modified: 09 May 2025
- Accepted by TMLR
- Readers: Everyone
Benchmarking Robustness of Text-Image Composed Retrieval
TMLR Paper1877 Authors
- 28 Nov 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
STViT: Improving Self-supervised Multi-Camera Depth Estimation with Spatial-Temporal Context and Adversarial Geometry Regularization
TMLR Paper1876 Authors
- 28 Nov 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
State-wise Constrained Policy Optimization
Weiye Zhao, Rui Chen, Yifan Sun, Feihan Li, Tianhao Wei, Changliu Liu
- Published: 09 Apr 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Enhancing Vision-Language Model with Unmasked Token Alignment
Jihao Liu, Jinliang Zheng, Boxiao Liu, Yu Liu, Hongsheng Li
- Published: 26 May 2024, Last Modified: 09 May 2025
- Accepted by TMLR
- Readers: Everyone
Auto-Rotating Neural Networks: An Alternative Approach for Preventing Vanishing Gradients
TMLR Paper1873 Authors
- 26 Nov 2023 (modified: 17 Sept 2024)
- Withdrawn by Authors
- Readers: Everyone
Emergence of Grounded, Optimally Compositional Spatial Language among Homogeneous Agents
TMLR Paper1872 Authors
- 26 Nov 2023 (modified: 20 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Continuous U-Net: Faster, Greater and Noiseless
Chun-Wun Cheng, Christina Runkel, Lihao Liu, Raymond H. Chan, Carola-Bibiane Schönlieb, Angelica I Aviles-Rivero
- Published: 29 Apr 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Scaling Vision-and-Language Navigation With Offline RL
Valay Bundele, Mahesh Bhupati, Biplab Banerjee, Aditya Grover
- Published: 06 May 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Zone Method meets Physics-Informed Neural Networks: Data and Regularization for High-Temperature Processes
TMLR Paper1869 Authors
- 25 Nov 2023 (modified: 17 Sept 2024)
- Withdrawn by Authors
- Readers: Everyone
A VAE-based Framework for Learning Multi-Level Neural Granger-Causal Connectivity
Jiahe Lin, Huitian Lei, George Michailidis
- Published: 01 Mar 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Domain-Generalizable Multiple-Domain Clustering
Amit Rozner, Barak Battash, Lior Wolf, Ofir Lindenbaum
- Published: 08 Feb 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
CLIP-QDA: An Explainable Concept Bottleneck Model
Rémi Kazmierczak, Eloïse Berthier, Goran Frehse, Gianni Franchi
- Published: 28 May 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone