TMLR Submissions

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
Hybrid Active Learning with Uncertainty-Weighted Embeddings
Yinan He, Lile Cai, Jingyi Liao, Chuan-Sheng Foo
- Published: 11 Jun 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Towards Prototype Conformity Loss Functions for Better Outlier Detection in Traffic Sign Image Classification
TMLR Paper2087 Authors
- 23 Jan 2024 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Unifying the Perspectives of NLP and Software Engineering: A Survey on Language Models for Code
Ziyin Zhang, Chaoyu Chen, Bingchang Liu, Cong Liao, Zi Gong, Hang Yu, Jianguo Li, Rui Wang
- Published: 13 Sept 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
A Study of the Effects of Transfer Learning on Adversarial Robustness
Pratik Vaishnavi, Kevin Eykholt, Amir Rahmati
- Published: 31 May 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Learning Hybrid Interpretable Models: Theory, Taxonomy, and Methods
Julien Ferry, Gabriel Laberge, Ulrich Aïvodji
- Published: 05 Aug 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Contrastive Graph Autoencoder for Shape-based Polygon Retrieval from Large Geometry Datasets
Zexian Huang, Kourosh Khoshelham, Martin Tomko
- Published: 03 Jun 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Federated Variational Inference: Towards Improved Personalization and Generalization
Elahe Vedadi, Joshua V. Dillon, Philip Andrew Mansfield, Karan Singhal, Arash Afkanpour, Warren Richard Morningstar
- Published: 07 Aug 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Multi-task learning on partially labeled datasets via invariant/equivariant semi-supervised learning
TMLR Paper2080 Authors
- 21 Jan 2024 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
MUBen: Benchmarking the Uncertainty of Molecular Representation Models
Yinghao Li, Lingkai Kong, Yuanqi Du, Yue Yu, Yuchen Zhuang, Wenhao Mu, Chao Zhang
- Published: 17 Apr 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
A True-to-the-model Axiomatic Benchmark for Graph-based Explainers
Corrado Monti, Paolo Bajardi, Francesco Bonchi, André Panisson, Alan Perotti
- Published: 19 Apr 2024, Last Modified: 29 Nov 2024
- Accepted by TMLR
- Readers: Everyone
One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning
TMLR Paper2077 Authors
- 21 Jan 2024 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
MoMA: Model-based Mirror Ascent for Offline Reinforcement Learning
Mao Hong, Zhiyue Zhang, Yue Wu, Yanxun Xu
- Published: 22 Oct 2024, Last Modified: 22 Oct 2024
- Accepted by TMLR
- Readers: Everyone
Double Descent and Overfitting under Noisy Inputs and Distribution Shift for Linear Denoisers
Chinmaya Kausik, Kashvi Srivastava, Rishi Sonthalia
- Published: 25 Mar 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Shifted Inverse stereographic normal distributions as flexible distribution family on the hypertorus
TMLR Paper2074 Authors
- 20 Jan 2024 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Extreme Risk Mitigation in Reinforcement Learning using Extreme Value Theory
Karthik Somayaji NS, Yu Wang, Malachi Schram, Jan Drgona, Mahantesh M Halappanavar, Frank Liu, Peng Li
- Published: 17 May 2024, Last Modified: 09 May 2025
- Accepted by TMLR
- Readers: Everyone
PID Control-Based Self-Healing to Improve the Robustness of Large Language Models
Zhuotong Chen, Zihu Wang, Yifan Yang, Qianxiao Li, Zheng Zhang
- Published: 02 Apr 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
A Survey on Fairness Without Demographics
Patrik Joslin Kenfack, Samira Ebrahimi Kahou, Ulrich Aïvodji
- Published: 16 Jun 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Soft Merging of Experts with Adaptive Routing
Mohammed Muqeeth, Haokun Liu, Colin Raffel
- Published: 26 May 2024, Last Modified: 09 May 2025
- Accepted by TMLR
- Readers: Everyone
Accelerated Deep Active Learning with Graph-based Sub- Sampling
Dan Kushnir, Shiyun Xu
- Published: 17 Aug 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone