research
∙
08/08/2023
Teacher-Student Architecture for Knowledge Distillation: A Survey
Although Deep neural networks (DNNs) have shown a strong capacity to sol...
share
research
∙
06/27/2023
Reducing the gap between streaming and non-streaming Transducer-based ASR by adaptive two-stage knowledge distillation
Transducer is one of the mainstream frameworks for streaming speech reco...
research
∙
03/02/2023
Ternary Quantization: A Survey
Inference time, model size, and accuracy are critical for deploying deep...
research
∙
12/24/2022
Hyperspherical Quantization: Toward Smaller and More Accurate Models
Model quantization enables the deployment of deep neural networks under ...
research
∙
12/24/2022
Pruning On-the-Fly: A Recoverable Pruning Method without Fine-tuning
Most existing pruning works are resource-intensive, requiring retraining...
research
∙
12/24/2022
Hyperspherical Loss-Aware Ternary Quantization
Most of the existing works use projection functions for ternary quantiza...
research
∙
10/28/2022
Teacher-Student Architecture for Knowledge Learning: A Survey
Although Deep Neural Networks (DNNs) have shown a strong capacity to sol...
research
∙
10/07/2022
Flexible Alignment Super-Resolution Network for Multi-Contrast MRI
Magnetic resonance images play an essential role in clinical diagnosis b...
research
∙
06/12/2022
A Matrix Decomposition Model Based on Feature Factors in Movie Recommendation System
Matrix Factorization (MF) is one of the most successful Collaborative Fi...
research
∙
04/27/2022
AdaCoach: A Virtual Coach for Training Customer Service Agents
With the development of online business, customer service agents gradual...
research
∙
08/02/2021
Changes in European Solidarity Before and During COVID-19: Evidence from a Large Crowd- and Expert-Annotated Twitter Dataset
We introduce the well-established social scientific concept of social so...
research
∙
07/23/2021
Pruning Ternary Quantization
We propose pruning ternary quantization (PTQ), a simple, yet effective, ...
research
∙
07/01/2021
The USTC-NELSLIP Systems for Simultaneous Speech Translation Task at IWSLT 2021
This paper describes USTC-NELSLIP's submissions to the IWSLT2021 Simulta...
research
∙
12/22/2020
Learning to Retrieve Entity-Aware Knowledge and Generate Responses with Copy Mechanism for Task-Oriented Dialogue Systems
Task-oriented conversational modeling with unstructured knowledge access...
research
∙
09/07/2020
Edge Learning with Unmanned Ground Vehicle: Joint Path, Energy and Sample Size Planning
Edge learning (EL), which uses edge computing as a platform to execute m...
research
∙
01/13/2020
Towards Interpretable and Robust Hand Detection via Pixel-wise Prediction
The lack of interpretability of existing CNN-based hand detection method...
research
∙
01/08/2020
LiftTiles: Constructive Building Blocks for Prototyping Room-scale Shape-changing Interfaces
Large-scale shape-changing interfaces have great potential, but creating...
research
∙
12/18/2019
Enjoy the Untrusted Cloud: A Secure, Scalable and Efficient SQL-like Query Framework for Outsourcing Data
While the security of the cloud remains a concern, a common practice is ...
research
∙
06/11/2019
Scale Invariant Fully Convolutional Network: Detecting Hands Efficiently
Existing hand detection methods usually follow the pipeline of multiple ...
research
∙
01/31/2019
Learning Efficient Lexically-Constrained Neural Machine Translation with External Memory
Recent years has witnessed dramatic progress of neural machine translati...
research
∙
12/06/2018
The USTC-NEL Speech Translation system at IWSLT 2018
This paper describes the USTC-NEL system to the speech translation task ...
research
∙
12/11/2017
A Novel Way of Identifying Cyber Predators
Recurrent Neural Networks with Long Short-Term Memory cell (LSTM-RNN) ha...
research
∙
11/11/2016
