Search Results for author:
Found 8 papers, 4 papers with code
LightDepth: A Resource Efficient Depth Estimation Approach for Dealing with Ground Truth Sparsity via Curriculum Learning
Our approach devises model-agnostic curriculum-based learning for depth estimation.
Ranked #1 on
Depth Estimation
on KITTI Eigen split
Speeding Up Question Answering Task of Language Models via Inverted Index
Natural language processing applications, such as conversational agents and their question-answering capabilities, are widely used in the real world.
ODSearch: Fast and Resource Efficient On-device Natural Language Search for Fitness Trackers' Data
Mobile and wearable technologies have promised significant changes to the healthcare industry.
FEDZIP: A Compression Framework for Communication-Efficient Federated Learning
Next, clients transfer local updates of model weights and biases (training data) to a server.
SEFR: A Fast Linear-Time Classifier for Ultra-Low Power Devices
A fundamental challenge for running machine learning algorithms on battery-powered devices is the time and energy limitations, as these devices have constraints on resources.
CovidCTNet: An Open-Source Deep Learning Approach to Identify Covid-19 Using CT Image
In order to facilitate the detection of Covid-19 globally and assist radiologists and physicians in the screening process, we are releasing all algorithms and parametric details in an open-source format.
A Natural Language Query Interface for Searching Personal Information on Smartwatches
Through analyzing these questions, we have constructed a light-weight natural language based query interface, including a text parser algorithm and a user interface, to process the users' queries that have been used for searching quantified-self information.
Learning Mobile App Usage Routine through Learning Automata
Since its conception, smart app market has grown exponentially.
