
-
Visual Companion for Booklovers
An innumerable number of individual choices go into discovering a new bo...
read it
-
Learning-Based Joint User-AP Association and Resource Allocation in Ultra Dense Network
With the advantages of Millimeter wave in wireless communication network...
read it
-
Learn to Segment Retinal Lesions and Beyond
Towards automated retinal screening, this paper makes an endeavor to sim...
read it
-
Rethinking Softmax Cross-Entropy Loss for Adversarial Robustness
Previous work shows that adversarially robust generalization requires la...
read it
-
Improving Adversarial Robustness via Promoting Ensemble Diversity
Though deep neural networks have achieved significant progress on variou...
read it
-
A Novel PMU Fog based Early Anomaly Detection for an Efficient Wide Area PMU Network
Based on phasor measurement units (PMUs), a synchronphasor system is wid...
read it
-
Analyzing and Improving Stein Variational Gradient Descent for High-dimensional Marginal Inference
Stein variational gradient descent (SVGD) is a nonparametric inference m...
read it
-
SAM: Semantic Attribute Modulation for Language Modeling and Style Variation
This paper presents a Semantic Attribute Modulation (SAM) for language m...
read it
-
On Timing Model Extraction and Hierarchical Statistical Timing Analysis
In this paper, we investigate the challenges to apply Statistical Static...
read it
-
Statistical Timing Analysis for Latch-Controlled Circuits with Reduced Iterations and Graph Transformations
Level-sensitive latches are widely used in high- performance designs. Fo...
read it
-
Fast Statistical Timing Analysis for Circuits with Post-Silicon Tunable Clock Buffers
Post-Silicon Tunable (PST) clock buffers are widely used in high perform...
read it
-
Timing Model Extraction for Sequential Circuits Considering Process Variations
As semiconductor devices continue to scale down, process vari- ations be...
read it
-
On Hierarchical Statistical Static Timing Analysis
Statistical static timing analysis deals with the increasing variations ...
read it
-
Discriminative Nonparametric Latent Feature Relational Models with Data Augmentation
We present a discriminative nonparametric latent feature relational mode...
read it
-
Gibbs Max-margin Topic Models with Data Augmentation
Max-margin learning is a powerful approach to building classifiers and s...
read it
-
Discriminative Relational Topic Models
Many scientific and engineering fields involve analyzing network data. F...
read it
-
Bayesian Inference with Posterior Regularization and applications to Infinite Latent SVMs
Existing Bayesian models, especially nonparametric Bayesian methods, rel...
read it