TMLR Submissions

Zero-shot Node Classification with Graph Contrastive Embedding Network
Wei Ju, Yifang Qin, Siyu Yi, Zhengyang Mao, Kangjie Zheng, Luchen Liu, Xiao Luo, Ming Zhang
- Published: 12 Oct 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
DCP: Learning Accelerator Dataflow for Neural Network via Propagation
TMLR Paper1211 Authors
- 31 May 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Error Controlled Feature Selection for Ultrahigh Dimensional and Highly Correlated Feature Space Using Deep Learning
TMLR Paper1210 Authors
- 31 May 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Intrinsic Motivation via Surprise Memory
TMLR Paper1209 Authors
- 31 May 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Find Your Friends: Personalized Federated Learning with the Right Collaborators
TMLR Paper1208 Authors
- 30 May 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Deep Operator Learning Lessens the Curse of Dimensionality for PDEs
Ke Chen, Chunmei Wang, Haizhao Yang
- Published: 27 Sept 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Bayesian Optimization on the Cartesian Product of Weighted Graphs to Better Search Discrete Spaces with Irregular Increments
TMLR Paper1206 Authors
- 30 May 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Understanding convolution on graphs via energies
Francesco Di Giovanni, James Rowbottom, Benjamin Paul Chamberlain, Thomas Markovich, Michael M. Bronstein
- Published: 23 Aug 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Achieving Risk Control in Online Learning Settings
Shai Feldman, Liran Ringel, Stephen Bates, Yaniv Romano
- Published: 05 Nov 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Robust Learning Rate Selection for Stochastic Optimization via Splitting Diagnostic
Matteo Sordello, Niccolo Dalmasso, Hangfeng He, Weijie J Su
- Published: 17 Feb 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
On the special role of class-selective neurons in early training
Omkar Ranadive, Nikhil Thakurdesai, Ari S. Morcos, Matthew L Leavitt, Stephane Deny
- Published: 08 Sept 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Global Contrastive Learning for Long-Tailed Classification
Thong Bach, Anh Tong, Truong Son Hy, Vu Nguyen, Thanh Nguyen-Tang
- Published: 15 Sept 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Long-term Forecasting with TiDE: Time-series Dense Encoder
Abhimanyu Das, Weihao Kong, Andrew Leach, Shaan K Mathur, Rajat Sen, Rose Yu
- Published: 11 Aug 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
A Multilinear Least-Squares Formulation for Sparse Tensor Canonical Correlation Analysis
Jun Yu, Zhaoming Kong, Kun Chen, Xin Zhang, Yong Chen, Lifang He
- Published: 02 Feb 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Worst-case Feature Risk Minimization for Data-Efficient Learning
Jingshi Lei, Da Li, Chengming Xu, Liming Fang, Timothy Hospedales, Yanwei Fu
- Published: 26 Oct 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
On Adaptivity in Quantum Testing
Omar Fawzi, Nicolas Flammarion, Aurélien Garivier, Aadil Oufkir
- Published: 01 Sept 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Meta-Learning an Approximate Inference Algorithm for Low- Level Probabilistic Programs
TMLR Paper1196 Authors
- 26 May 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Vulnerability-Aware Instance Reweighting For Adversarial Training
Olukorede Fakorede, Ashutosh Kumar Nirala, Modeste Atsague, Jin Tian
- Published: 20 Jul 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
VoLTA: Vision-Language Transformer with Weakly-Supervised Local-Feature Alignment
Shraman Pramanick, Li Jing, Sayan Nag, Jiachen Zhu, Hardik J Shah, Yann LeCun, Rama Chellappa
- Published: 25 Oct 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Asymptotic Analysis of Conditioned Stochastic Gradient Descent
Rémi Leluc, François Portier
- Published: 16 Aug 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Stochastic Mirror Descent: Convergence Analysis and Adaptive Variants via the Mirror Stochastic Polyak Stepsize
Ryan D'Orazio, Nicolas Loizou, Issam H. Laradji, Ioannis Mitliagkas
- Published: 08 Nov 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Lattice Convolutional Networks for Learning Ground States of Quantum Many-Body Systems
TMLR Paper1191 Authors
- 24 May 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
ContraSim – Analyzing Neural Representations Based on Contrastive Learning
TMLR Paper1190 Authors
- 24 May 2023 (modified: 17 Sept 2024)
- Withdrawn by Authors
- Readers: Everyone
Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error
Ondrej Bohdal, Yongxin Yang, Timothy Hospedales
- Published: 24 Aug 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Self-Supervision is All You Need for Solving Rubik’s Cube
Kyo Takano
- Published: 25 Jul 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone