TMLR Submissions

Learning Identity-Preserving Transformations on Data Manifolds
Marissa Catherine Connor, Kion Fallah, Christopher John Rozell
- Published: 29 Mar 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
FLUID: A Unified Evaluation Framework for Flexible Sequential Data
Matthew Wallingford, Aditya Kusupati, Keivan Alizadeh-Vahid, Aaron Walsman, Aniruddha Kembhavi, Ali Farhadi
- Published: 23 Mar 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Good Artists Copy, Great Artists Steal: Model Extraction Attacks Against Image Translation Models
TMLR Paper564 Authors
- 04 Nov 2022 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Generalization as Dynamical Robustness--The Role of Riemannian Contraction in Supervised Learning
Leo Kozachkov, Patrick Wensing, Jean-Jacques Slotine
- Published: 24 Apr 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
VRNN’s got a GAN: Generating Time Series using Variational Recurrent Neural Models with Adversarial Training
TMLR Paper562 Authors
- 04 Nov 2022 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
StructCoder: Structure-Aware Transformer for Code Gener-ation
TMLR Paper560 Authors
- 02 Nov 2022 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Personalized Federated Learning: A Unified Framework and Universal Optimization Techniques
Filip Hanzely, Boxin Zhao, mladen kolar
- Published: 24 May 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Understanding and Simplifying Architecture Search in Spatio-Temporal Graph Neural Networks
Zhen Xu, quanming yao, Yong Li, Qiang Yang
- Published: 07 Feb 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Clustering using Approximate Nearest Neighbour Oracles
Enayat Ullah, Harry Lang, Raman Arora, Vladimir Braverman
- Published: 31 Mar 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Generalization bounds for Kernel Canonical Correlation Analysis
Enayat Ullah, Raman Arora
- Published: 30 Mar 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Towards Better Out-of-Distribution Generalization of Neural Algorithmic Reasoning Tasks
Sadegh Mahdavi, Kevin Swersky, Thomas Kipf, Milad Hashemi, Christos Thrampoulidis, Renjie Liao
- Published: 18 Mar 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Contrastive Search Is What You Need For Neural Text Generation
Yixuan Su, Nigel Collier
- Published: 24 Feb 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Learning Representations for Pixel-based Control: What Matters and Why?
Manan Tomar, Utkarsh Aashu Mishra, Amy Zhang, Matthew E. Taylor
- Published: 06 Jan 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
To ArXiv or not to ArXiv: A Study Quantifying Pros and Cons of Posting Preprints Online
TMLR Paper551 Authors
- 28 Oct 2022 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Blind Sequence Denoising with Self-Supervised Set Learning
TMLR Paper549 Authors
- 27 Oct 2022 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Escaping the Big Data Paradigm with Compact Transformers
TMLR Paper548 Authors
- 27 Oct 2022 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
ViViT: Curvature Access Through The Generalized Gauss-Newton’s Low-Rank Structure
Felix Dangel, Lukas Tatzel, Philipp Hennig
- Published: 27 Jan 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Learning objective-specific active learning strategies with Attentive Neural Processes
TMLR Paper546 Authors
- 27 Oct 2022 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
ImpressLearn: Continual Learning via Combined Task Impressions
TMLR Paper545 Authors
- 26 Oct 2022 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
U-Statistics for Importance-Weighted Variational Inference
Javier Burroni, Kenta Takatsu, Justin Domke, Daniel Sheldon
- Published: 27 Feb 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Proportional Fairness in Federated Learning
Guojun Zhang, Saber Malekmohammadi, Xi Chen, Yaoliang Yu
- Published: 23 Jan 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
A Unified Linear Speedup Analysis of Stochastic and Nesterov Federated Averaging
TMLR Paper542 Authors
- 26 Oct 2022 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Scalable Deep Compressive Sensing
Zhonghao Zhang, Yipeng Liu, Xingyu Cao, Fei Wen, Ce Zhu
- Published: 06 Apr 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
GSR: A Generalized Symbolic Regression Approach
Tony Tohme, Dehong Liu, KAMAL YOUCEF-TOUMI
- Published: 08 Jan 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Stacking Diverse Architectures to Improve Machine Translation
Andrea Schioppa, Nal Kalchbrenner
- Published: 24 Feb 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone