TMLR Submissions

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
DORA: Exploring Outlier Representations in Deep Neural Networks
Kirill Bykov, Mayukh Deb, Dennis Grinwald, Klaus Robert Muller, Marina MC Höhne
- Published: 01 Jul 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
You Only Transfer What You Share: Intersection-Induced Graph Transfer Learning for Link Prediction
Wenqing Zheng, Edward W Huang, Nikhil Rao, Zhangyang Wang, Karthik Subbian
- Published: 31 Aug 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Robust Multi-Agent Reinforcement Learning with State Uncertainty
Sihong He, Songyang Han, Sanbao Su, Shuo Han, Shaofeng Zou, Fei Miao
- Published: 02 Jun 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
LEAD: Min-Max Optimization from a Physical Perspective
Reyhane Askari Hemmat, Amartya Mitra, Guillaume Lajoie, Ioannis Mitliagkas
- Published: 15 Jun 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Self-Supervised Graph Representation Learning for Neuronal Morphologies
Marissa A. Weis, Laura Pede, Timo Lüddecke, Alexander S Ecker
- Published: 06 Jul 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Attacking Perceptual Similarity Metrics
Abhijay Ghildyal, Feng Liu
- Published: 16 May 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Invariant Feature Coding using Tensor Product Representation
YUSUKE Mukuta, Tatsuya Harada
- Published: 26 Jun 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone