[Representation Subspace Distance for Domain Adaptation Regression] 설명
49:11
[Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds] 설명
51:13
[Gradient episodic memory for continual learning] 설명
48:09
Lange Symposium 2025: Emmanuel Candès, Stanford University
52:39
[Active learning for convolutional neural networks: A core set approach] 설명
37:31
TransferLab: Towards a statistical theory of data selection under weak supervision - Pulkit Tandon
50:53
[Averaging weights leads to wider optima and better generalization] 설명
46:46
[What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision] 설명
24:52