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cs.LG2022★ 19 cited
POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution Samples
Duong H. Le, Khoi D. Nguyen, Khoi Nguyen +3
In this work, we propose to use out-of-distribution samples, i.e., unlabeled samples coming from outside the target classes, to improve few-shot learning. Specifically, we exploit…
cs.LG2021★ 17 cited
Network Pruning That Matters: A Case Study on Retraining Variants
Duong H. Le, Binh-Son Hua
Network pruning is an effective method to reduce the computational expense of over-parameterized neural networks for deployment on low-resource systems. Recent state-of-the-art tec…