93 citations · 390 across the 47 of their papers we have counts for
4 papers · 2 filters
Pre-trained Gaussian Processes for Bayesian Optimization
Zi Wang, George E. Dahl, Kevin Swersky +5
Bayesian optimization (BO) has become a popular strategy for global optimization of expensive real-world functions. Contrary to a common expectation that BO is suited to optimizing…
Zero-Shot Knowledge Distillation from a Decision-Based Black-Box Model
Zi Wang
Knowledge distillation (KD) is a successful approach for deep neural network acceleration, with which a compact network (student) is trained by mimicking the softmax output of a pr…
Data-Free Knowledge Distillation with Soft Targeted Transfer Set Synthesis
Zi Wang
Knowledge distillation (KD) has proved to be an effective approach for deep neural network compression, which learns a compact network (student) by transferring the knowledge from…
Exploring Adversarial Robustness of Deep Metric Learning
Thomas Kobber Panum, Zi Wang, Pengyu Kan +2
Deep Metric Learning (DML), a widely-used technique, involves learning a distance metric between pairs of samples. DML uses deep neural architectures to learn semantic embeddings o…