TMLR Submissions

Training with Mixed-Precision Floating-Point Assignments
Wonyeol Lee, Rahul Sharma, Alex Aiken
- Published: 22 Jun 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Breaking the Spurious Causality of Conditional Generation via Fairness Intervention with Corrective Sampling
Junhyun Nam, Sangwoo Mo, Jaeho Lee, Jinwoo Shin
- Published: 05 Jul 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Differentially Private Diffusion Models Generate Useful Synthetic Images
TMLR Paper931 Authors
- 09 Mar 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
On the Robustness of Dataset Inference
Sebastian Szyller, Rui Zhang, Jian Liu, N Asokan
- Published: 28 Jun 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Two-Stage Neural Contextual Bandits for Adaptive Personalised Recommendations
TMLR Paper928 Authors
- 08 Mar 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
On the Predictive Accuracy of Neural Temporal Point Process Models for Continuous-time Event Data
Tanguy Bosser, Souhaib Ben Taieb
- Published: 10 Jul 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Empirical Study on Optimizer Selection for Out-of-Distribution Generalization
Hiroki Naganuma, Kartik Ahuja, Shiro Takagi, Tetsuya Motokawa, Rio Yokota, Kohta Ishikawa, Ikuro Sato, Ioannis Mitliagkas
- Published: 16 Jun 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Interpretable Mixture of Experts
Aya Abdelsalam Ismail, Sercan O Arik, Jinsung Yoon, Ankur Taly, Soheil Feizi, Tomas Pfister
- Published: 26 May 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
How explainable are adversarially-robust CNNs?
TMLR Paper922 Authors
- 06 Mar 2023 (modified: 28 Oct 2024)
- Rejected by TMLR
- Readers: Everyone
Contextualize Me – The Case for Context in Reinforcement Learning
Carolin Benjamins, Theresa Eimer, Frederik Schubert, Aditya Mohan, Sebastian Döhler, André Biedenkapp, Bodo Rosenhahn, Frank Hutter, Marius Lindauer
- Published: 05 Jun 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Aux-Drop: Handling Haphazard Inputs in Online Learning Using Auxiliary Dropouts
Rohit Agarwal, Deepak Gupta, Alexander Horsch, Dilip K. Prasad
- Published: 29 May 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Fourier Features in Reinforcement Learning with Neural Networks
David Brellmann, David Filliat, Goran Frehse
- Published: 17 Oct 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
LTD: Low Temperature Distillation for Gradient Masking-free Adversarial Training
TMLR Paper917 Authors
- 05 Mar 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Analyzing Deep PAC-Bayesian Learning with Neural Tangent Kernel: Convergence, Analytic Generalization Bound, and Efficient Hyperparameter Selection
Wei Huang, Chunrui Liu, Yilan Chen, Richard Yi Da Xu, Miao Zhang, Tsui-Wei Weng
- Published: 30 May 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Summary Statistic Privacy in Data Sharing
TMLR Paper915 Authors
- 03 Mar 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
You Only Debias Once: Towards Flexible Accuracy-Fairness Trade-offs at Inference Time
TMLR Paper914 Authors
- 03 Mar 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
TESH-GCN: Text Enriched Sparse Hyperbolic Graph Convolutional Networks
TMLR Paper913 Authors
- 03 Mar 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Data-Efficient Training of CNNs and Transformers with Coresets: A Stability Perspective
TMLR Paper911 Authors
- 02 Mar 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Learning Robust Kernel Ensembles with Kernel Average Pooling
TMLR Paper910 Authors
- 02 Mar 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Lightweight Learner for Shared Knowledge Lifelong Learning
Yunhao Ge, Yuecheng Li, Di Wu, Ao Xu, Adam M. Jones, Amanda Sofie Rios, Iordanis Fostiropoulos, shixian wen, Po-Hsuan Huang, Zachary William Murdock, Gozde Sahin, Shuo Ni, Kiran Lekkala, Sumedh Anand Sontakke, Laurent Itti
- Published: 22 May 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Learning Augmentation Distributions using Transformed Risk Minimization
Evangelos Chatzipantazis, Stefanos Pertigkiozoglou, Kostas Daniilidis, Edgar Dobriban
- Published: 04 Aug 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Steerable Equivariant Representation Learning
TMLR Paper907 Authors
- 01 Mar 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
SC2 Benchmark: Supervised Compression for Split Computing
Yoshitomo Matsubara, Ruihan Yang, Marco Levorato, Stephan Mandt
- Published: 27 Jun 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Elementwise Language Representation
TMLR Paper905 Authors
- 28 Feb 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Predicting Out-of-Domain Generalization with Neighborhood Invariance
Nathan Hoyen Ng, Neha Hulkund, Kyunghyun Cho, Marzyeh Ghassemi
- Published: 18 Jun 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone