TMLR Submissions

FedConv: Enhancing Convolutional Neural Networks for Handling Data Heterogeneity in Federated Learning
Peiran Xu, Zeyu Wang, Jieru Mei, Liangqiong Qu, Alan Yuille, Cihang Xie, Yuyin Zhou
- Published: 28 Apr 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Time Series Continuous Modeling for Imputation and Forecasting with Implicit Neural Representations
Etienne Le Naour, Louis Serrano, Léon Migus, Yuan Yin, Ghislain Agoua, Nicolas Baskiotis, patrick gallinari, Vincent Guigue
- Published: 21 Apr 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Bit-by-Bit: Investigating the Vulnerabilities of Binary Neural Networks to Adversarial Bit Flipping
Shamik Kundu, Sanjay Das, Sayar Karmakar, Arnab Raha, Souvik Kundu, Yiorgos Makris, Kanad Basu
- Published: 19 Jun 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
As large as it gets – Studying Infinitely Large Convolutions via Neural Implicit Frequency Filters
Julia Grabinski, Janis Keuper, Margret Keuper
- Published: 20 May 2024, Last Modified: 09 May 2025
- Accepted by TMLR
- Readers: Everyone
Demonstrating and Reducing Shortcuts in Vision-Language Representation Learning
Maurits Bleeker, Mariya Hendriksen, Andrew Yates, Maarten de Rijke
- Published: 09 Aug 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Intriguing Properties of Hyperbolic Embeddings in Vision-Language Models
Sarah Ibrahimi, Mina Ghadimi Atigh, Nanne Van Noord, Pascal Mettes, Marcel Worring
- Published: 09 Jul 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Conciliator steering: Imposing user preference in multi-objective reinforcement learning
Sara Pyykölä, Klavdiya Olegovna Bochenina, Laura Ruotsalainen
- Published: 28 Jun 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
The Disagreement Problem in Explainable Machine Learning: A Practitioner’s Perspective
Satyapriya Krishna, Tessa Han, Alex Gu, Steven Wu, Shahin Jabbari, Himabindu Lakkaraju
- Published: 27 Jun 2024, Last Modified: 17 Apr 2025
- Accepted by TMLR
- Readers: Everyone
Experts on Demand: Dynamic Routing for Personalized Diffusion Models
TMLR Paper2109 Authors
- 28 Jan 2024 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
GOPlan: Goal-conditioned Offline Reinforcement Learning by Planning with Learned Models
Mianchu Wang, Rui Yang, Xi Chen, Hao Sun, Meng Fang, Giovanni Montana
- Published: 14 May 2024, Last Modified: 09 May 2025
- Accepted by TMLR
- Readers: Everyone
Self-attention-based Diffusion Model for Time-series Imputation in Partial Blackout Scenarios
TMLR Paper2106 Authors
- 27 Jan 2024 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
CascadedGaze: Efficiency in Global Context Extraction for Image Restoration
Amirhosein Ghasemabadi, Muhammad Kamran Janjua, Mohammad Salameh, CHUNHUA ZHOU, Fengyu Sun, Di Niu
- Published: 20 May 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Augmenting Ad-Hoc IR Dataset for Interactive Conversational Search
Pierre ERBACHER, Jian-Yun Nie, Philippe Preux, Laure Soulier
- Published: 04 Jun 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Towards Understanding Label Smoothing
TMLR Paper2102 Authors
- 26 Jan 2024 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Conservative Prediction via Data-Driven Confidence Minimization
Caroline Choi, Fahim Tajwar, Yoonho Lee, Huaxiu Yao, Ananya Kumar, Chelsea Finn
- Published: 03 Jun 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Revisiting Active Learning in the Era of Vision Foundation Models
Sanket Rajan Gupte, Josiah Aklilu, Jeffrey J Nirschl, Serena Yeung-Levy
- Published: 12 Jul 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
What Has Been Overlooked in Contrastive Source-Free Domain Adaptation: Leveraging Source-Informed Latent Augmentation within Neighborhood Context
Jing Wang, Wonho Bae, Jiahong Chen, Kuangen Zhang, Leonid Sigal, Clarence W. de Silva
- Published: 25 Apr 2024, Last Modified: 09 May 2025
- Accepted by TMLR
- Readers: Everyone
Efficient Parallelized Simulation of Cyber-Physical Systems
Bas van der Heijden, Laura Ferranti, Jens Kober, Robert Babuska
- Published: 09 May 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Piecewise-Stationary Dueling Bandits
Patrick Kolpaczki, Eyke Hüllermeier, Viktor Bengs
- Published: 11 Sept 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
The Survival Bandit Problem
Charles Riou, Junya Honda, Masashi Sugiyama
- Published: 02 Aug 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Meta-learning for Positive-unlabeled Classification
TMLR Paper2093 Authors
- 25 Jan 2024 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Internal-Coordinate Density Modelling of Protein Structure: Covariance Matters
Marloes Arts, Jes Frellsen, Wouter Boomsma
- Published: 28 May 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Differentially Private Kernel Inducing Points using features from ScatterNets (DP-KIP-ScatterNet) for Privacy Preserving Data Distillation
Margarita Vinaroz, Mijung Park
- Published: 24 May 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Physics Informed Distillation for Diffusion Models
Joshua Tian Jin Tee, Kang Zhang, Hee Suk Yoon, Dhananjaya Nagaraja Gowda, Chanwoo Kim, Chang D. Yoo
- Published: 09 Jun 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Simultaneous Dimensionality Reduction: A Data Efficient Approach for Multimodal Representations Learning
Eslam Abdelaleem, Ahmed Roman, K. Michael Martini, Ilya Nemenman
- Published: 04 Oct 2024, Last Modified: 04 Oct 2024
- Accepted by TMLR
- Readers: Everyone