TMLR Submissions

Fourier Sensitivity and Regularization of Computer Vision Models
Kiran Krishnamachari, See-Kiong Ng, Chuan-Sheng Foo
- Published: 20 Dec 2022, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Investigating Action Encodings in Recurrent Neural Networks in Reinforcement Learning
Matthew Kyle Schlegel, Volodymyr Tkachuk, Adam M White, Martha White
- Published: 07 Jan 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Accelerating Deep Learning with Dynamic Data Pruning
TMLR Paper366 Authors
- 16 Aug 2022 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
A Rigorous Study Of The Deep Taylor Decomposition
Leon Sixt, Tim Landgraf
- Published: 09 Nov 2022, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
On Sample Complexity of Offline Reinforcement Learning with Deep ReLU Networks in Besov Spaces
Thanh Nguyen-Tang, Sunil Gupta, Hung Tran-The, Svetha Venkatesh
- Published: 11 Dec 2022, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Uncertainty-Based Active Learning for Reading Comprehension
Jing Wang, Jie Shen, Xiaofei Ma, Andrew Arnold
- Published: 29 Dec 2022, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Reducing Training Sample Memorization in GANs by Training with Memorization Rejection
TMLR Paper361 Authors
- 13 Aug 2022 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Momentum via Primal Averaging: Theoretical Insights and Learning Rate Schedules for Non-Convex Optimization
TMLR Paper360 Authors
- 12 Aug 2022 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Enhanced gradient-based MCMC in discrete spaces
Benjamin Rhodes, Michael U. Gutmann
- Published: 13 Oct 2022, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Equivariant Finite Normalizing Flows
TMLR Paper358 Authors
- 11 Aug 2022 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Gaussian process surrogate models for neural networks
TMLR Paper357 Authors
- 11 Aug 2022 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Scaling Autoregressive Models for Content-Rich Text-to-Image Generation
Jiahui Yu, Yuanzhong Xu, Jing Yu Koh, Thang Luong, Gunjan Baid, Zirui Wang, Vijay Vasudevan, Alexander Ku, Yinfei Yang, Burcu Karagol Ayan, Ben Hutchinson, Wei Han, Zarana Parekh, Xin Li, Han Zhang, Jason Baldridge, Yonghui Wu
- Published: 07 Nov 2022, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Diffusion Models for Video Prediction and Infilling
Tobias Höppe, Arash Mehrjou, Stefan Bauer, Didrik Nielsen, Andrea Dittadi
- Published: 14 Nov 2022, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Action Noise in Off-Policy Deep Reinforcement Learning: Impact on Exploration and Performance
Jakob Hollenstein, Sayantan Auddy, Matteo Saveriano, Erwan Renaudo, Justus Piater
- Published: 15 Nov 2022, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Fail-Safe Adversarial Generative Imitation Learning
Philipp Geiger, Christoph-Nikolas Straehle
- Published: 07 Nov 2022, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Margin based Self-Supervised Neural Architecture Search
TMLR Paper352 Authors
- 10 Aug 2022 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
On a continuous time model of gradient descent dynamics and instability in deep learning
Mihaela Rosca, Yan Wu, Chongli Qin, Benoit Dherin
- Published: 25 Jan 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Convergence of denoising diffusion models under the manifold hypothesis
Valentin De Bortoli
- Published: 07 Nov 2022, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Fast and Accurate Spreading Process Temporal Scale Estimation
Abram Magner, Carolyn S Kaminski, Petko Bogdanov
- Published: 12 Dec 2022, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Instance-Conditioned GAN Data Augmentation for Representation Learning
TMLR Paper348 Authors
- 08 Aug 2022 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents
Kushagra Pandey, Avideep Mukherjee, Piyush Rai, Abhishek Kumar
- Published: 05 Dec 2022, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Exposing Outlier Exposure: What Can Be Learned From Few, One, and Zero Outlier Images
Philipp Liznerski, Lukas Ruff, Robert A. Vandermeulen, Billy Joe Franks, Klaus Robert Muller, Marius Kloft
- Published: 12 Nov 2022, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Cheap and Deterministic Inference for Deep State-Space Models of Interacting Dynamical Systems
Andreas Look, Barbara Rakitsch, Melih Kandemir, Jan Peters
- Published: 01 Mar 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Learning Two-Step Hybrid Policy for Graph-Based Interpretable Reinforcement Learning
Tongzhou Mu, Kaixiang Lin, Feiyang Niu, Govind Thattai
- Published: 19 Oct 2022, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Infinitely wide limits for deep Stable neural networks: sub-linear, linear and super-linear activation functions
Alberto Bordino, Stefano Favaro, Sandra Fortini
- Published: 01 Dec 2022, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone