TMLR Submissions

Gradient-based Bi-level Optimization for Deep Learning: A Survey
TMLR Paper1065 Authors
- 17 Apr 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
TSMixer: An All-MLP Architecture for Time Series Forecast-ing
Si-An Chen, Chun-Liang Li, Sercan O Arik, Nathanael Christian Yoder, Tomas Pfister
- Published: 11 Sept 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Orthonormalising gradients improves neural network optimisation
TMLR Paper1063 Authors
- 17 Apr 2023 (modified: 17 Sept 2024)
- Withdrawn by Authors
- Readers: Everyone
Quantization Robust Federated Learning for Efficient Inference on Heterogeneous Devices
Kartik Gupta, Marios Fournarakis, Matthias Reisser, Christos Louizos, Markus Nagel
- Published: 18 Sept 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
MixTrain: Accelerating DNN Training via Input Mixing
TMLR Paper1061 Authors
- 16 Apr 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Textual Few-Shot Classification For API-based Models
TMLR Paper1060 Authors
- 16 Apr 2023 (modified: 17 Sept 2024)
- Withdrawn by Authors
- Readers: Everyone
Walking Out of the Weisfeiler Leman Hierarchy: Graph Learning Beyond Message Passing
Jan Tönshoff, Martin Ritzert, Hinrikus Wolf, Martin Grohe
- Published: 15 Sept 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Chaos Theory and Adversarial Robustness
TMLR Paper1058 Authors
- 15 Apr 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Towards a More Rigorous Science of Blindspot Discovery in Image Classification Models
Gregory Plumb, Nari Johnson, Angel Cabrera, Ameet Talwalkar
- Published: 13 Jul 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Effective Neural Network $L_0$ Regularization With BinMask
TMLR Paper1055 Authors
- 13 Apr 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
On-Demand Unlabeled Personalized Federated Learning
TMLR Paper1054 Authors
- 13 Apr 2023 (modified: 17 Sept 2024)
- Withdrawn by Authors
- Readers: Everyone
TabCBM: Concept-based Interpretable Neural Networks for Tabular Data
Mateo Espinosa Zarlenga, Zohreh Shams, Michael Edward Nelson, Been Kim, Mateja Jamnik
- Published: 28 Jul 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
IBIA: An Incremental Build-Infer-Approximate Framework for Approximate Inference of Partition Function
Shivani Bathla, Vinita Vasudevan
- Published: 28 Sept 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
RECLIP: Resource-efficient CLIP by Training with Small Images
Runze Li, Dahun Kim, Bir Bhanu, Weicheng Kuo
- Published: 28 Aug 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Conditional Generative Models are Provably Robust: Pointwise Guarantees for Bayesian Inverse Problems
Fabian Altekrüger, Paul Hagemann, Gabriele Steidl
- Published: 21 Jul 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
A Proximal Algorithm for Sampling
Jiaming Liang, Yongxin Chen
- Published: 03 Jul 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
The minimum-norm gauge for deep learning
TMLR Paper1048 Authors
- 10 Apr 2023 (modified: 17 Sept 2024)
- Withdrawn by Authors
- Readers: Everyone
WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series
Jean-Christophe Gagnon-Audet, Kartik Ahuja, Mohammad Javad Darvishi Bayazi, Pooneh Mousavi, Guillaume Dumas, Irina Rish
- Published: 02 Sept 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Numerical Data Imputation for Multimodal Data Sets: A Probabilistic Nearest-Neighbor Kernel Density Approach
Florian Lalande, Kenji Doya
- Published: 27 Jun 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Efficient Reward Poisoning Attacks on Online Deep Reinforcement Learning
Yinglun Xu, Qi Zeng, Gagandeep Singh
- Published: 14 Jul 2023, Last Modified: 09 May 2025
- Accepted by TMLR
- Readers: Everyone
A Few Adversarial Tokens Can Break Vision Transformers
TMLR Paper1043 Authors
- 07 Apr 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Universal Pyramid Adversarial Training for Improved ViT Performance
TMLR Paper1042 Authors
- 07 Apr 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Multi-annotator Deep Learning: A Probabilistic Framework for Classification
Marek Herde, Denis Huseljic, Bernhard Sick
- Published: 07 Sept 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Nonconvex-nonconcave min-max optimization on Riemannian manifolds
Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao
- Published: 26 Aug 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Out-of-distribution Few-shot Learning For Edge Devices without Model Fine-tuning
TMLR Paper1038 Authors
- 07 Apr 2023 (modified: 17 Sept 2024)
- Withdrawn by Authors
- Readers: Everyone