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05/22/2023
Distributionally Robust Optimization Efficiently Solves Offline Reinforcement Learning
Offline reinforcement learning aims to find the optimal policy from a pr...
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11/25/2022
A Moral- and Event- Centric Inspection of Gender Bias in Fairy Tales at A Large Scale
Fairy tales are a common resource for young children to learn a language...
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11/01/2022
Excel Spreadsheet Analyzer
Spreadsheets are widely used in various fields to do large numerical ana...
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07/22/2022
HiKonv: Maximizing the Throughput of Quantized Convolution With Novel Bit-wise Management and Computation
Quantization for CNN has shown significant progress with the intention o...
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05/19/2021
Heterogeneous Contrastive Learning
With the advent of big data across multiple high-impact applications, we...
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04/27/2021
K-Clique Counting on GPUs
Counting k-cliques in a graph is an important problem in graph analysis ...
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06/26/2020
Can Quantum Computers Learn Like Classical Computers? A Co-Design Framework for Machine Learning and Quantum Circuits
Despite the pursuit of quantum supremacy in various applications, the po...
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12/03/2019
ELFISH: Resource-Aware Federated Learning on Heterogeneous Edge Devices
In this work, we propose ELFISH - a resource-aware federated learning fr...
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09/20/2019
SkyNet: a Hardware-Efficient Method for Object Detection and Tracking on Embedded Systems
Developing object detection and tracking on resource-constrained embedde...
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03/05/2019
Evaluation of Neural Network Uncertainty Estimation with Application to Resource-Constrained Platforms
The ability to accurately estimate uncertainties in neural network predi...
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11/23/2018
Revisiting Pre-training: An Efficient Training Method for Image Classification
The training method of repetitively feeding all samples into a pre-defin...
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10/05/2018
