TMLR Submissions

Neural Causal Structure Discovery from Interventions
Nan Rosemary Ke, Olexa Bilaniuk, Anirudh Goyal, Stefan Bauer, Hugo Larochelle, Bernhard Schölkopf, Michael Curtis Mozer, Christopher Pal, Yoshua Bengio
- Published: 11 Sept 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Turning a Curse into a Blessing: Enabling In-Distribution-Data-Free Backdoor Removal via Stabilized Model Inversion
Si Chen, Yi Zeng, Won Park, Jiachen T. Wang, Xun Chen, Lingjuan Lyu, Zhuoqing Mao, Ruoxi Jia
- Published: 21 Sept 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Towards the Scalable Evaluation of Cooperativeness in Language Models
TMLR Paper990 Authors
- 23 Mar 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Greedier is Better: Selecting Multiple Neighbors per Iteration for Sparse Subspace Clustering
Jwo-Yuh Wu, Liang-Chi Huang, Wen Hsuan Li, Chun-Hung Liu, Rung-Hung Gau
- Published: 17 Oct 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Test-Time Adaptation for Visual Document Understanding
Sayna Ebrahimi, Sercan O Arik, Tomas Pfister
- Published: 10 Jun 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Fair Kernel Regression through Cross-Covariance Operators
Adrian Perez-Suay, Paula Gordaliza, Jean-Michel Loubes, Dino Sejdinovic, Gustau Camps-Valls
- Published: 19 Jul 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
TransFool: An Adversarial Attack against Neural Machine Translation Models
Sahar Sadrizadeh, Ljiljana Dolamic, Pascal Frossard
- Published: 25 Jun 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
INTEGRATE: Distance based Graph Convolutional Networks for Statistical Relational Learning
TMLR Paper985 Authors
- 22 Mar 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Conformal Data Cleaning: Statistical Guarantees for Data Quality Automation in Tables
TMLR Paper984 Authors
- 22 Mar 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Model Averaging for Manifold Learning
TMLR Paper983 Authors
- 22 Mar 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Spectral learning of Bernoulli linear dynamical systems models for decision-making
Iris R Stone, Yotam Sagiv, Il Memming Park, Jonathan W. Pillow
- Published: 25 Jul 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Empirical Limitations of the NTK for Understanding Scaling Laws in Deep Learning
Nikhil Vyas, Yamini Bansal, Preetum Nakkiran
- Published: 10 Aug 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Interventions in Graph Neural Networks Lead to New Neural Causal Models
TMLR Paper980 Authors
- 21 Mar 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Faster Training of Neural ODEs Using Gauß–Legendre Quadrature
Alexander Luke Ian Norcliffe, Marc Peter Deisenroth
- Published: 05 Sept 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Inversion by Direct Iteration: An Alternative to Denoising Diffusion for Image Restoration
Mauricio Delbracio, Peyman Milanfar
- Published: 27 Jun 2023, Last Modified: 14 Apr 2025
- Accepted by TMLR
- Readers: Everyone
Mind the Gap: Mitigating the Distribution Gap in Graph Few-shot Learning
Chunhui Zhang, Hongfu Liu, Jundong Li, Yanfang Ye, Chuxu Zhang
- Published: 10 Jul 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Bayesian Importance of Features (BIF)
TMLR Paper976 Authors
- 20 Mar 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Finding Competence Regions in Domain Generalization
Jens Müller, Stefan T. Radev, Robert Schmier, Felix Draxler, Carsten Rother, Ullrich Koethe
- Published: 10 Jun 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Actively Learning Costly Reward Functions for Reinforcement Learning
TMLR Paper974 Authors
- 20 Mar 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Do We Really Achieve Fairness with Explicit Sensitive Attributes?
TMLR Paper973 Authors
- 20 Mar 2023 (modified: 17 Sept 2024)
- Withdrawn by Authors
- Readers: Everyone
Understanding Self-Supervised Pretraining with Part-Aware Representation Learning
Jie Zhu, Jiyang Qi, Mingyu Ding, Xiaokang Chen, Ping Luo, Xinggang Wang, Wenyu Liu, Leye Wang, Jingdong Wang
- Published: 14 Jul 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Generalizability of Adversarial Robustness Under Distribution Shifts
Kumail Alhamoud, Hasan Abed Al Kader Hammoud, Motasem Alfarra, Bernard Ghanem
- Published: 22 May 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
mL-BFGS: A Momentum-based L-BFGS for Distributed Large-scale Neural Network Optimization
Yue Niu, Zalan Fabian, Sunwoo Lee, Mahdi Soltanolkotabi, Salman Avestimehr
- Published: 03 Aug 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Exploring Transformer Backbones for Heterogeneous Treatment Effect Estimation
YiFan Zhang, Hanlin Zhang, Zachary Chase Lipton, Li Erran Li, Eric Xing
- Published: 03 Nov 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
HQ-VAE: Hierarchical Discrete Representation Learning with Variational Bayes
TMLR Paper963 Authors
- 18 Mar 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone