TMLR Submissions

Exploring Neural Network Landscapes: Star-Shaped and Geodesic Connectivity
TMLR Paper2686 Authors
- 14 May 2024 (modified: 17 Sept 2024)
- Withdrawn by Authors
- Readers: Everyone
Revisiting System-Heterogeneous Federated Learning through Dynamic Model Search
TMLR Paper2685 Authors
- 14 May 2024 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Large Language Models Synergize with Automated Machine Learning
Jinglue Xu, Jialong Li, Zhen Liu, NAV Suryanarayanan, Guoyuan Zhou, JIA GUO, Hitoshi Iba, Kenji Tei
- Published: 09 Sept 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Greedy Growing Enables High-Resolution Pixel-Based Diffusion Models
Cristina Nader Vasconcelos, Abdullah Rashwan, Austin Waters, Trevor Walker, Keyang Xu, Jimmy Yan, Rui Qian, Yeqing Li, SHIXIN LUO, Yasumasa Onoe, Zarana Parekh, Ivana Kajic, Mandy Guo, Wenlei Zhou, Sarah Rosston, Roopal Garg, Hongliang Fei, Jordi Pont-Tuset, Su Wang, Henna Nandwani et al. (5 additional authors not shown)
- Published: 23 Oct 2024, Last Modified: 23 Oct 2024
- Accepted by TMLR
- Readers: Everyone
Efficient Identification of Direct Causal Parents via Invariance and Minimum Error Testing
Minh Nguyen, Mert R. Sabuncu
- Published: 29 Sept 2024, Last Modified: 29 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Exploiting Hankel-Toeplitz Structures for Fast Computation of Kernel Precision Matrices
Frida Marie Viset, Anton Kullberg, Frederiek Wesel, Arno Solin
- Published: 29 Jul 2024, Last Modified: 09 May 2025
- Accepted by TMLR
- Readers: Everyone
Considerations for Distribution Shift Robustness of Diagnostic Models in Healthcare
TMLR Paper2680 Authors
- 13 May 2024 (modified: 20 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Reweighting Improves Conditional Risk Bounds
Yikai Zhang, Jiahe Lin, Fengpei Li, Songzhu Zheng, Anant Raj, Anderson Schneider, Yuriy Nevmyvaka
- Published: 11 Jan 2025, Last Modified: 11 Jan 2025
- Accepted by TMLR
- Readers: Everyone
Oops, I Sampled it Again: Reinterpreting Confidence Intervals in Few-Shot Learning
Raphael Lafargue, Luke A Smith, Franck VERMET, Matthias Löwe, Ian Reid, Jack Valmadre, Vincent Gripon
- Published: 05 Sept 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Adaptive Self-Distillation for Minimizing Client Drift in Heterogeneous Federated Learning
M Yashwanth, Gaurav Kumar Nayak, Arya Singh, Yogesh Simmhan, Anirban Chakraborty
- Published: 20 Dec 2024, Last Modified: 20 Dec 2024
- Accepted by TMLR
- Readers: Everyone
Adaptive $k$-nearest neighbor classifier based on the local estimation of the shape operator
TMLR Paper2676 Authors
- 12 May 2024 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
MixedNUTS: Training-Free Accuracy-Robustness Balance via Nonlinearly Mixed Classifiers
Yatong Bai, Mo Zhou, Vishal M. Patel, Somayeh Sojoudi
- Published: 07 Sept 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Robust Feature Inference: A Test-time Defense Strategy using Spectral Projections
Anurag Singh, Mahalakshmi Sabanayagam, Krikamol Muandet, Debarghya Ghoshdastidar
- Published: 24 Aug 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Optimized Tradeoffs for Private Prediction with Majority Ensembling
Shuli Jiang, Qiuyi Zhang, Gauri Joshi
- Published: 29 Nov 2024, Last Modified: 29 Nov 2024
- Accepted by TMLR
- Readers: Everyone
Strengthening Interpretability: An Investigative Study of Integrated Gradient Methods
Shree Singhi, Anupriya Kumari
- Published: 01 Dec 2024, Last Modified: 01 Dec 2024
- Accepted by TMLR
- Readers: Everyone
Equivariant Graph Network Approximations of High-Degree Polynomials for Force Field Prediction
Zhao Xu, Haiyang Yu, Montgomery Bohde, Shuiwang Ji
- Published: 30 Aug 2024, Last Modified: 09 May 2025
- Accepted by TMLR
- Readers: Everyone
Highway Graph to Accelerate Reinforcement Learning
Zidu Yin, Zhen Zhang, Dong Gong, Stefano V Albrecht, Javen Qinfeng Shi
- Published: 09 Jan 2025, Last Modified: 09 Jan 2025
- Accepted by TMLR
- Readers: Everyone
MDP: A Generalized Framework for Text-Guided Image Editing by Manipulating the Diffusion Path
Qian Wang, Biao Zhang, Michael Birsak, Peter Wonka
- Published: 17 Sept 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Norm-count Hypothesis: On the Relationship Between Norm and Object Count in Visual Representations
TMLR Paper2664 Authors
- 10 May 2024 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Analyzing the Impact of Learnable Softmax Temperature in Contrastive Visual-Textual Alignment Systems: Benefits, Drawbacks, and Alternative Approaches
Zhun Sun, Chao Li
- Published: 03 Nov 2024, Last Modified: 03 Nov 2024
- Accepted by TMLR
- Readers: Everyone
ISR: Invertible Symbolic Regression
TMLR Paper2661 Authors
- 10 May 2024 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Federated Learning under Evolving Distribution Shifts
TMLR Paper2660 Authors
- 10 May 2024 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Data Valuation in the Absence of a Reliable Validation Set
Himanshu Jahagirdar, Jiachen T. Wang, Ruoxi Jia
- Published: 05 Oct 2024, Last Modified: 09 May 2025
- Accepted by TMLR
- Readers: Everyone
Robust Stochastic Optimization via Gradient Quantile Clipping
Ibrahim Merad, Stéphane Gaïffas
- Published: 09 Oct 2024, Last Modified: 09 Oct 2024
- Accepted by TMLR
- Readers: Everyone
APBench: A Unified Availability Poisoning Attack and Defenses Benchmark
Tianrui Qin, Xitong Gao, Juanjuan Zhao, Kejiang Ye, Cheng-zhong Xu
- Published: 14 Aug 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone