Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting Paper • 2406.10327 • Published Jun 14, 2024
AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series Forecasting Paper • 2502.10235 • Published 7 days ago • 8
ILLUME: Illuminating Your LLMs to See, Draw, and Self-Enhance Paper • 2412.06673 • Published Dec 9, 2024 • 11
Leveraging Ensemble Diversity for Robust Self-Training in the Presence of Sample Selection Bias Paper • 2310.14814 • Published Oct 23, 2023 • 1
MANO: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts Paper • 2405.18979 • Published May 29, 2024 • 1
SAMformer: Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention Paper • 2402.10198 • Published Feb 15, 2024 • 1
AIM 2024 Sparse Neural Rendering Challenge: Dataset and Benchmark Paper • 2409.15041 • Published Sep 23, 2024 • 14
PanGu-Coder: Program Synthesis with Function-Level Language Modeling Paper • 2207.11280 • Published Jul 22, 2022
MULAN: A Multi Layer Annotated Dataset for Controllable Text-to-Image Generation Paper • 2404.02790 • Published Apr 3, 2024
Human-like Episodic Memory for Infinite Context LLMs Paper • 2407.09450 • Published Jul 12, 2024 • 60