Statistical Learning
Multi-Task Learning with Summary Statistics
However, the application of multi-task learning to real-world settings is hindered by data-sharing constraints, especially in healthcare settings.
D4_camera_ready
M1: Chunking long documents into max-context-length chunks, and averaging all-mini-LM-v6 embeddings across chunks to produce a final document embedding.
Learning Fine-grained View-Invariant Representations from Unpaired Ego-Exo Videos via Temporal Alignment
The problem is challenging on two fronts.
Distribution-Free Model-Agnostic Regression Calibration via Nonparametric Methods
Specifically, we consider an individual calibration objective for characterizing the quantiles of the prediction model.
CAPro: Webly Supervised Learning with Cross-Modality Aligned Prototypes Y ulei Qin 1 Xingyu Chen
For instance, web images retrieved with queries of " tiger cat " (a cat species) and " drumstick " (a musical instrument) are almost dominated by images of tigers and
