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08/04/2023
Adaptive Preferential Attached kNN Graph with Distribution-Awareness
Graph-based kNN algorithms have garnered widespread popularity for machi...
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04/12/2023
AutoShot: A Short Video Dataset and State-of-the-Art Shot Boundary Detection
The short-form videos have explosive popularity and have dominated the n...
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08/05/2022
A Hybrid Observer for Estimating the State of a Distributed Linear System
A hybrid observer is described for estimating the state of a system of t...
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06/12/2022
Stochastic Gradient Descent without Full Data Shuffle
Stochastic gradient descent (SGD) is the cornerstone of modern machine l...
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01/21/2022
Occupancy Information Ratio: Infinite-Horizon, Information-Directed, Parameterized Policy Search
We develop a new measure of the exploration/exploitation trade-off in in...
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11/20/2021
HeterPS: Distributed Deep Learning With Reinforcement Learning Based Scheduling in Heterogeneous Environments
Deep neural networks (DNNs) exploit many layers and a large number of pa...
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08/09/2021
ChemiRise: a data-driven retrosynthesis engine
We have developed an end-to-end, retrosynthesis system, named ChemiRise,...
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04/19/2020
Data Poisoning Attacks on Federated Machine Learning
Federated machine learning which enables resource constrained node devic...
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10/10/2018
Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space
Most existing deep reinforcement learning (DRL) frameworks consider eith...
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09/19/2018
TStarBots: Defeating the Cheating Level Builtin AI in StarCraft II in the Full Game
Starcraft II (SCII) is widely considered as the most challenging Real Ti...
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03/17/2018
Decentralization Meets Quantization
Optimizing distributed learning systems is an art of balancing between c...
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03/15/2017
