TMLR Submissions

DORA: Exploring Outlier Representations in Deep Neural Networks
Kirill Bykov, Mayukh Deb, Dennis Grinwald, Klaus Robert Muller, Marina MC Höhne
- Published: 01 Jul 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
You Only Transfer What You Share: Intersection-Induced Graph Transfer Learning for Link Prediction
Wenqing Zheng, Edward W Huang, Nikhil Rao, Zhangyang Wang, Karthik Subbian
- Published: 31 Aug 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Robust Multi-Agent Reinforcement Learning with State Uncertainty
Sihong He, Songyang Han, Sanbao Su, Shuo Han, Shaofeng Zou, Fei Miao
- Published: 02 Jun 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
LEAD: Min-Max Optimization from a Physical Perspective
Reyhane Askari Hemmat, Amartya Mitra, Guillaume Lajoie, Ioannis Mitliagkas
- Published: 15 Jun 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Self-Supervised Graph Representation Learning for Neuronal Morphologies
Marissa A. Weis, Laura Pede, Timo Lüddecke, Alexander S Ecker
- Published: 06 Jul 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Attacking Perceptual Similarity Metrics
Abhijay Ghildyal, Feng Liu
- Published: 16 May 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Invariant Feature Coding using Tensor Product Representation
YUSUKE Mukuta, Tatsuya Harada
- Published: 26 Jun 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Sequential Query Encoding for Complex Query Answering on Knowledge Graphs
Jiaxin Bai, Tianshi Zheng, Yangqiu Song
- Published: 25 Jun 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Critic Identifiability in Offline Reinforcement Learning with a Deterministic Exploration Policy
TMLR Paper895 Authors
- 24 Feb 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
An Explicit Expansion of the Kullback-Leibler Divergence along its Fisher-Rao Gradient Flow
Carles Domingo-Enrich, Aram-Alexandre Pooladian
- Published: 25 Jun 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
The Geometry of Mixability
Armando J Cabrera Pacheco, Robert Williamson
- Published: 11 Sept 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Robust Self-Supervised Learning with Lie Groups
TMLR Paper891 Authors
- 22 Feb 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Expected Worst Case Regret via Stochastic Sequential Covering
Changlong Wu, Mohsen Heidari, Ananth Grama, Wojciech Szpankowski
- Published: 05 Aug 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
The Vendi Score: A Diversity Evaluation Metric for Machine Learning
Dan Friedman, Adji Bousso Dieng
- Published: 01 Jul 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
CoCoFL: Communication- and Computation-Aware Federated Learning via Partial NN Freezing and Quantization
Kilian Pfeiffer, Martin Rapp, Ramin Khalili, Joerg Henkel
- Published: 28 Jun 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Positive Difference Distribution for Image Outlier Detection using Normalizing Flows and Contrastive Data
Robert Schmier, Ullrich Koethe, Christoph-Nikolas Straehle
- Published: 26 Apr 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
MAC: A unified framework boosting low resource automatic speech recognition
TMLR Paper886 Authors
- 22 Feb 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Dr-Fairness: Dynamic Data Ratio Adjustment for Fair Training on Real and Generated Data
Yuji Roh, Weili Nie, De-An Huang, Steven Euijong Whang, Arash Vahdat, Anima Anandkumar
- Published: 04 Jun 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Rotation-Invariant Random Features Provide a Strong Baseline for Machine Learning on 3D Point Clouds
Owen Melia, Eric M Jonas, Rebecca Willett
- Published: 19 Aug 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Likelihood Annealing: Fast Calibrated Uncertainty for Regression
TMLR Paper883 Authors
- 21 Feb 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Off-Policy Evaluation with Out-of-Sample Guarantees
Sofia Ek, Dave Zachariah, Fredrik D. Johansson, Peter Stoica
- Published: 17 Jul 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Comparative Generalization Bounds for Deep Neural Networks
Tomer Galanti, Liane Galanti, Ido Ben-Shaul
- Published: 26 May 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Improving Differentially Private SGD via Randomly Sparsified Gradients
Junyi Zhu, Matthew B. Blaschko
- Published: 28 Jun 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Assuming Locally Equal Calibration Errors for Non-Parametric Multiclass Calibration
Kaspar Valk, Meelis Kull
- Published: 06 Jun 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Membership Inference Attacks Against Semantic Segmentation Models
TMLR Paper878 Authors
- 20 Feb 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone