TMLR Submissions

Data Models for Dataset Drift Controls in Machine Learning With Optical Images
Luis Oala, Marco Aversa, Gabriel Nobis, Kurt Willis, Yoan Neuenschwander, Michèle Buck, Christian Matek, Jerome Extermann, Enrico Pomarico, Wojciech Samek, Roderick Murray-Smith, Christoph Clausen, Bruno Sanguinetti
- Published: 02 May 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
DSDF: Coordinated look-ahead strategy in multi-agent reinforcement learning with noisy agents
TMLR Paper784 Authors
- 19 Jan 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb, Abubakar Abid, Adam Fisch, Adam R. Brown, Adam Santoro, Aditya Gupta, Adrià Garriga-Alonso, Agnieszka Kluska, Aitor Lewkowycz, Akshat Agarwal, Alethea Power, Alex Ray, Alex Warstadt, Alexander W. Kocurek, Ali Safaya, Ali Tazarv, Alice Xiang et al. (430 additional authors not shown)
- Published: 11 May 2023, Last Modified: 14 Dec 2024
- Accepted by TMLR
- Readers: Everyone
Optimistic Dynamic Regret Bounds
TMLR Paper782 Authors
- 18 Jan 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Training Data Size Induced Double Descent For Denoising Feedforward Neural Networks and the Role of Training Noise
Rishi Sonthalia, Raj Rao Nadakuditi
- Published: 06 Apr 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Spurious Features in Continual Learning
TMLR Paper780 Authors
- 16 Jan 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Releasing Graph Neural Networks with Differential Privacy Guarantees
Iyiola Emmanuel Olatunji, Thorben Funke, Megha Khosla
- Published: 26 Jun 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Mean-Field Control based Approximation of Multi-Agent Reinforcement Learning in Presence of a Non-decomposable Shared Global State
Washim Uddin Mondal, Vaneet Aggarwal, Satish Ukkusuri
- Published: 26 May 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Holistic Evaluation of Language Models
Percy Liang, Rishi Bommasani, Tony Lee, Dimitris Tsipras, Dilara Soylu, Michihiro Yasunaga, Yian Zhang, Deepak Narayanan, Yuhuai Wu, Ananya Kumar, Benjamin Newman, Binhang Yuan, Bobby Yan, Ce Zhang, Christian Cosgrove, Christopher D Manning, Christopher Re, Diana Acosta-Navas, Drew A. Hudson, Eric Zelikman et al. (30 additional authors not shown)
- Published: 23 Aug 2023, Last Modified: 14 Apr 2025
- Accepted by TMLR
- Readers: Everyone
Optimum-statistical Collaboration Towards General and Efficient Black-box Optimization
Wenjie Li, Chi-Hua Wang, Guang Cheng, Qifan Song
- Published: 02 Jun 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Understanding Noise-Augmented Training for Randomized Smoothing
Ambar Pal, Jeremias Sulam
- Published: 30 Apr 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Unsupervised Discovery and Composition of Object Light Fields
Cameron Omid Smith, Hong-Xing Yu, Sergey Zakharov, Fredo Durand, Joshua B. Tenenbaum, Jiajun Wu, Vincent Sitzmann
- Published: 20 Jun 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Uncovering the Representation of Spiking Neural Networks Trained with Surrogate Gradient
Yuhang Li, Youngeun Kim, Hyoungseob Park, Priyadarshini Panda
- Published: 26 Apr 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
FL Games: A federated learning framework for distribution shifts
TMLR Paper770 Authors
- 11 Jan 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
A Simulation Environment and Reinforcement Learning Method for Waste Reduction
Sami Jullien, Mozhdeh Ariannezhad, Paul Groth, Maarten de Rijke
- Published: 01 May 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Learning to Incentivize Improvements from Strategic Agents
Yatong Chen, Jialu Wang, Yang Liu
- Published: 10 Jun 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Data Distillation: A Survey
Noveen Sachdeva, Julian McAuley
- Published: 22 Jul 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Exploring the Approximation Capabilities of Multiplicative Neural Networks for Smooth Functions
Ido Ben-Shaul, Tomer Galanti, Shai Dekel
- Published: 06 Jun 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Supervised Knowledge May Hurt Novel Class Discovery Performance
ZIYUN LI, Jona Otholt, Ben Dai, Di Hu, Christoph Meinel, Haojin Yang
- Published: 01 Jul 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Improving Molecular Pretraining with Collaborative Featurizations
TMLR Paper764 Authors
- 10 Jan 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Limitations of Neural Collapse for Understanding Generalization in Deep Learning
TMLR Paper763 Authors
- 10 Jan 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Balance is Essence: Accelerating Sparse Training via Adaptive Gradient Correction
TMLR Paper762 Authors
- 09 Jan 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Federated High-Dimensional Online Decision Making
Chi-Hua Wang, Wenjie Li, Guang Lin
- Published: 15 Aug 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on Continual Learning and Functional Composition
Jorge A Mendez, ERIC EATON
- Published: 05 Jun 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Balanced k-Means Revisited
Pasi Fränti, Rieke de Maeyer
- 09 Jan 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone