TMLR Submissions

PixMIM: Rethinking Pixel Reconstruction in Masked Image Modeling
Yuan Liu, Songyang Zhang, Jiacheng Chen, Kai Chen, Dahua Lin
- Published: 29 Jan 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
A Pseudo-Metric between Probability Distributions based on Depth-Trimmed Regions
Guillaume Staerman, Pavlo Mozharovskyi, Pierre Colombo, Stephan Clémençon, Florence d'Alché-Buc
- Published: 11 Mar 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
What is the Solution for State-Adversarial Multi-Agent Reinforcement Learning?
Songyang Han, Sanbao Su, Sihong He, Shuo Han, Haizhao Yang, Shaofeng Zou, Fei Miao
- Published: 09 Feb 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Why should autoencoders work?
Matthew Kvalheim, Eduardo Sontag
- Published: 24 Feb 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Variational autoencoder with weighted samples for high-dimensional non-parametric adaptive importance sampling
Julien Demange-Chryst, Francois Bachoc, Jérôme Morio, Timothé Krauth
- Published: 19 Jan 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Evaluating Spatial Understanding of Large Language Models
Yutaro Yamada, Yihan Bao, Andrew Kyle Lampinen, Jungo Kasai, Ilker Yildirim
- Published: 17 Feb 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Do Smaller Language Models Answer Contextualised Questions Through Memorisation Or Generalisation?
TMLR Paper1678 Authors
- 12 Oct 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
A Unified View of Differentially Private Deep Generative Modeling
Dingfan Chen, Raouf Kerkouche, Mario Fritz
- Published: 10 Apr 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
The Relationship Between the Distribution of Neural Network Weights and Model Accuracy Using Benford’s Law
TMLR Paper1676 Authors
- 12 Oct 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
A Survey on Out-of-Distribution Detection in NLP
Hao Lang, Yinhe Zheng, Yixuan Li, Jian SUN, Fei Huang, Yongbin Li
- Published: 08 Jan 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Investigating the Nature of 3D Generalization in Deep Neural Networks
TMLR Paper1672 Authors
- 11 Oct 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Fast Training of Diffusion Models with Masked Transformers
Hongkai Zheng, Weili Nie, Arash Vahdat, Anima Anandkumar
- Published: 05 Mar 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Normalized/Clipped SGD with Perturbation for Differentially Private Non-Convex Optimization
TMLR Paper1670 Authors
- 11 Oct 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Synthesizing Libraries of Programs with Auxiliary Functions
Habibur Rahman, Thirupathi Reddy Emireddy, Kenneth Tjhia, Elham Parhizkar, Levi Lelis
- Published: 21 Apr 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Pull-back Geometry of Persistent Homology Encodings
Shuang Liang, Renata Turkes, Jiayi Li, Nina Otter, Guido Montufar
- Published: 04 Mar 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Speeding Up Speech Synthesis in Diffusion Models by Reducing Data Distribution Recovery Steps via Content Transfer.
TMLR Paper1666 Authors
- 10 Oct 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
A Unified View on Solving Objective Mismatch in Model-Based Reinforcement Learning
Ran Wei, Nathan Lambert, Anthony D McDonald, Alfredo Garcia, Roberto Calandra
- Published: 08 Feb 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Learning Personalized Decision Support Policies
TMLR Paper1664 Authors
- 10 Oct 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Unleashing the Potential of Acquisition Functions in High-Dimensional Bayesian Optimization
Jiayu Zhao, Renyu Yang, SHENGHAO QIU, Zheng Wang
- Published: 19 Jan 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Learning from Natural Language Feedback
Angelica Chen, Jérémy Scheurer, Jon Ander Campos, Tomasz Korbak, Jun Shern Chan, Samuel R. Bowman, Kyunghyun Cho, Ethan Perez
- Published: 01 Mar 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Molecular De Novo Design through Transformer-based Reinforcement Learning
TMLR Paper1660 Authors
- 09 Oct 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Group Robustness via Discounted Rank Upweighting
TMLR Paper1659 Authors
- 09 Oct 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
WaveBench: Benchmarking Data-driven Solvers for Linear Wave Propagation PDEs
Tianlin Liu, Jose Antonio Lara Benitez, Florian Faucher, AmirEhsan Khorashadizadeh, Maarten V. de Hoop, Ivan Dokmanić
- Published: 06 Feb 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
High-dimensional Bayesian Optimization via Covariance Matrix Adaptation Strategy
Lam Ngo, Huong Ha, Jeffrey Chan, Vu Nguyen, Hongyu Zhang
- Published: 26 Jan 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
MaskOCR: Scene Text Recognition with Masked Vision-Language Pre-training
Pengyuan Lyu, Chengquan Zhang, Shanshan Liu, Meina Qiao, Yangliu Xu, Liang Wu, Kun Yao, Junyu Han, Errui Ding, Jingdong Wang
- Published: 24 May 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone