244 citations · 1.5k across the 71 of their papers we have counts for
5 papers · 1 filter
Reducing the Teacher-Student Gap via Spherical Knowledge Disitllation
Jia Guo, Minghao Chen, Yao Hu +3
Knowledge distillation aims at obtaining a compact and effective model by learning the mapping function from a much larger one. Due to the limited capacity of the student, the stud…
Do Wider Neural Networks Really Help Adversarial Robustness?
Boxi Wu, Jinghui Chen, Deng Cai +2
Adversarial training is a powerful type of defense against adversarial examples. Previous empirical results suggest that adversarial training requires wider networks for better per…
Learning Graph-Level Representation for Drug Discovery
Junying Li, Deng Cai, Xiaofei He
Predicating macroscopic influences of drugs on human body, like efficacy and toxicity, is a central problem of small-molecule based drug discovery. Molecules can be represented as…
Fast Approximate Nearest Neighbor Search With The Navigating Spreading-out Graph
Cong Fu, Chao Xiang, Changxu Wang +1
Approximate nearest neighbor search (ANNS) is a fundamental problem in databases and data mining. A scalable ANNS algorithm should be both memory-efficient and fast. Some early gra…
Relational Multi-Manifold Co-Clustering
Ping Li, Jiajun Bu, Chun Chen +2
Co-clustering targets on grouping the samples (e.g., documents, users) and the features (e.g., words, ratings) simultaneously. It employs the dual relation and the bilateral inform…