97 citations
- Carnegie Mellon UniversityUS2 papers
- The University of AdelaideAU2 papers
- Allen (United States)US1 paper
- Apple (Germany)DE1 paper
- Australian Centre for Robotic VisionAU1 paper
- DELL (United States)US1 paper
- Duke UniversityUS1 paper
- Georgetown UniversityUS1 paper
- Imperial College LondonGB1 paper
- Indian Institute of Technology DelhiIN1 paper
- Indraprastha Institute of Information Technology DelhiIN1 paper
- Intel (United States)US1 paper
25 papers
Efficient Knowledge Graph Accuracy Evaluation
Junyang Gao, Xian Li, Yifan Ethan Xu +3
Estimation of the accuracy of a large-scale knowledge graph (KG) often requires humans to annotate samples from the graph. How to obtain statistically meaningful estimates for accu…
A Unified Optimization Approach for CNN Model Inference on Integrated GPUs
Leyuan Wang, Zhi Chen, Yizhi Liu +4
Modern deep learning applications urge to push the model inference taking place at the edge devices for multiple reasons such as achieving shorter latency, relieving the burden of…
Sub-band Convolutional Neural Networks for Small-footprint Spoken Term Classification
Chieh-Chi Kao, Ming Sun, Yixin Gao +2
This paper proposes a Sub-band Convolutional Neural Network for spoken term classification. Convolutional neural networks (CNNs) have proven to be very effective in acoustic applic…
Semantic Product Search
Priyanka Nigam, Yiwei Song, Vijai Mohan +7
We study the problem of semantic matching in product search, that is, given a customer query, retrieve all semantically related products from the catalog. Pure lexical matching via…
Compression of Acoustic Event Detection Models With Quantized Distillation
Bowen Shi, Ming Sun, Chieh-Chi Kao +3
Acoustic Event Detection (AED), aiming at detecting categories of events based on audio signals, has found application in many intelligent systems. Recently deep neural network sig…
Causal Regularization
Dominik Janzing
I argue that regularizing terms in standard regression methods not only help against overfitting finite data, but sometimes also yield better causal models in the infinite sample r…