research
∙
01/12/2023
Self-Attention Amortized Distributional Projection Optimization for Sliced Wasserstein Point-Cloud Reconstruction
Max sliced Wasserstein (Max-SW) distance has been widely known as a solu...
share
research
∙
09/21/2022
Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation
Data-free Knowledge Distillation (DFKD) has attracted attention recently...
research
∙
07/25/2022
Black-box Few-shot Knowledge Distillation
Knowledge distillation (KD) is an efficient approach to transfer the kno...
research
∙
07/25/2022
Efficient Classification with Counterfactual Reasoning and Active Learning
Data augmentation is one of the most successful techniques to improve th...
research
∙
05/13/2022
Fast Conditional Network Compression Using Bayesian HyperNetworks
We introduce a conditional compression problem and propose a fast framew...
research
∙
02/24/2022
Towards Effective and Robust Neural Trojan Defenses via Input Filtering
Trojan attacks on deep neural networks are both dangerous and surreptiti...
research
∙
10/29/2021
Model Fusion of Heterogeneous Neural Networks via Cross-Layer Alignment
Layer-wise model fusion via optimal transport, named OTFusion, applies s...
research
∙
08/28/2021
Maximum Likelihood Estimation of Diffusions by Continuous Time Markov Chain
In this paper we present a novel method for estimating the parameters of...
research
∙
08/22/2021
An Efficient Mini-batch Method via Partial Transportation
Mini-batch optimal transport (m-OT) has been widely used recently to dea...
research
∙
07/07/2021
Hub and Spoke Logistics Network Design for Urban Region with Clustering-Based Approach
This study aims to propose effective modeling and approach for designing...
research
∙
06/19/2020
Bayesian Optimization with Missing Inputs
Bayesian optimization (BO) is an efficient method for optimizing expensi...
research
∙
06/02/2020
DeepCoDA: personalized interpretability for compositional health
Interpretability allows the domain-expert to directly evaluate the model...
research
∙
12/03/2019
Moments of Student's t-distribution: A Unified Approach
In this note, we derive the closed form formulae for moments of Student'...
research
∙
11/28/2019
Bayesian Optimization for Categorical and Category-Specific Continuous Inputs
Many real-world functions are defined over both categorical and category...
research
∙
02/21/2019