TMLR Submissions

Active & Passive Causal Inference: Introduction
TMLR Paper1833 Authors
- 15 Nov 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
LLMs and the Abstraction and Reasoning Corpus: Successes, Failures, and the Importance of Object-based Representations
Yudong Xu, Wenhao Li, Pashootan Vaezipoor, Scott Sanner, Elias Boutros Khalil
- Published: 06 Feb 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Multi-domain improves out-of-distribution and data-limited scenarios for medical image analysis
TMLR Paper1831 Authors
- 15 Nov 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Achieving the Asymptotically Minimax Optimal Sample Complexity of Offline Reinforcement Learning: A DRO-Based Approach
Yue Wang, Jinjun Xiong, Shaofeng Zou
- Published: 09 Jun 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Non-Uniform Smoothness for Gradient Descent
Albert S. Berahas, Lindon Roberts, Fred Roosta
- Published: 12 Feb 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Robust Distortion-free Watermarks for Language Models
Rohith Kuditipudi, John Thickstun, Tatsunori Hashimoto, Percy Liang
- Published: 02 Jun 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Leveraging Function Space Aggregation for Federated Learning at Scale
Nikita Dhawan, Nicole Elyse Mitchell, Zachary Charles, Zachary Garrett, Gintare Karolina Dziugaite
- Published: 13 Feb 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Decentralized Stochastic Gradient Descent Ascent for Finite-Sum Minimax Problems
TMLR Paper1826 Authors
- 14 Nov 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Discrete Graph Auto-Encoder
Yoann Boget, Magda Gregorova, Alexandros Kalousis
- Published: 02 Apr 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
ASPEST: Bridging the Gap Between Active Learning and Selective Prediction
Jiefeng Chen, Jinsung Yoon, Sayna Ebrahimi, Sercan O Arik, Somesh Jha, Tomas Pfister
- Published: 28 Feb 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Tabula: Efficiently Computing Nonlinear Activation Functions for Secure Neural Network Inference
Max Lam, Michael Mitzenmacher, Vijay Janapa Reddi, Gu-Yeon Wei, David Brooks
- Published: 06 Sept 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Stochastic Direct Search Methods for Blind Resource Allocation
Juliette Achddou, Olivier Cappé, Aurélien Garivier
- Published: 26 Apr 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Cooperative Online Learning with Feedback Graphs
Nicolò Cesa-Bianchi, Tommaso Cesari, Riccardo Della Vecchia
- Published: 20 Jun 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Exponential Moving Average of Weights in Deep Learning: Dynamics and Benefits
Daniel Morales-Brotons, Thijs Vogels, Hadrien Hendrikx
- Published: 12 Apr 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
An advantage based policy transfer algorithm for reinforcement learning with metrics of transferability
TMLR Paper1817 Authors
- 12 Nov 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
ChatGPT Asks, BLIP-2 Answers: Automatic Questioning Towards Enriched Visual Descriptions
Deyao Zhu, Jun Chen, Kilichbek Haydarov, Xiaoqian Shen, Wenxuan Zhang, Mohamed Elhoseiny
- Published: 18 Mar 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Guiding Online Reinforcement Learning with Action-Free Offline Pretraining
TMLR Paper1815 Authors
- 11 Nov 2023 (modified: 17 Sept 2024)
- Withdrawn by Authors
- Readers: Everyone
One by One, Continual Coordinating with Humans via Hyper-Teammate Identification
Cong Guan, Feng Chen, Ke Xue, Chunpeng Fan, Lichao Zhang, Ziqian Zhang, Pengyao Zhao, Zongzhang Zhang, Chao Qian, Lei Yuan, Yang Yu
- Published: 05 Nov 2024, Last Modified: 05 Nov 2024
- Accepted by TMLR
- Readers: Everyone
EffSeg: Efficient Fine-Grained Instance Segmentation using Structure-Preserving Sparsity
TMLR Paper1812 Authors
- 11 Nov 2023 (modified: 17 Sept 2024)
- Withdrawn by Authors
- Readers: Everyone
InduCE: Inductive Counterfactual Explanations for Graph Neural Networks
Samidha Verma, Burouj Armgaan, Sourav Medya, Sayan Ranu
- Published: 11 May 2024, Last Modified: 29 Nov 2024
- Accepted by TMLR
- Readers: Everyone
On the Robustness of Neural Collapse and the Neural Collapse of Robustness
Jingtong Su, Ya Shi Zhang, Nikolaos Tsilivis, Julia Kempe
- Published: 02 Apr 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Causal Graphs Underlying Generative Models: Path to Learning with Limited Data
TMLR Paper1806 Authors
- 09 Nov 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Asynchronous Training Schemes in Distributed Learning with Time Delay
Haoxiang Wang, Zhanhong Jiang, Chao Liu, Soumik Sarkar, Dongxiang Jiang, Young M Lee
- Published: 29 Mar 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
The Languini Kitchen: Enabling Language Modelling Research at Different Scales of Compute
TMLR Paper1804 Authors
- 09 Nov 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Adapting Contrastive Language-Image Pretrained (CLIP) Models for Out-of-Distribution Detection
Nikolas Adaloglou, Felix Michels, Tim Kaiser, Markus Kollmann
- Published: 10 Mar 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone