Search Results for author:
Found 6 papers, 1 papers with code
SmartFRZ: An Efficient Training Framework using Attention-Based Layer Freezing
Therefore, there lacks a generic and smart layer freezing method that can automatically perform ``in-situation'' layer freezing for different networks during training processes.
EdgeOL: Efficient in-situ Online Learning on Edge Devices
Emerging applications, such as robot-assisted eldercare and object recognition, generally employ deep learning neural networks (DNNs) and naturally require: i) handling streaming-in inference requests and ii) adapting to possible deployment scenario changes.
Smart Meters Integration in Distribution System State Estimation with Collaborative Filtering and Deep Gaussian Process
The problem of state estimations for electric distribution system is considered.
ImageArg: A Multi-modal Tweet Dataset for Image Persuasiveness Mining
The growing interest in developing corpora of persuasive texts has promoted applications in automated systems, e. g., debating and essay scoring systems; however, there is little prior work mining image persuasiveness from an argumentative perspective.
An Analysis of Deep Reinforcement Learning Agents for Text-based Games
Text-based games(TBG) are complex environments which allow users or computer agents to make textual interactions and achieve game goals. In TBG agent design and training process, balancing the efficiency and performance of the agent models is a major challenge.
Detecting and estimating coherence based on coherence witnesses
Our coherence witnesses detect coherent states by testing whether the expectation value of the witness is negative or not.
Quantum Physics
