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05/23/2023
Decoupled Rationalization with Asymmetric Learning Rates: A Flexible Lipshitz Restraint
A self-explaining rationalization model is generally constructed by a co...
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01/28/2023
A Survey on Approximate Multiplier Designs for Energy Efficiency: From Algorithms to Circuits
Given the stringent requirements of energy efficiency for Internet-of-Th...
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10/26/2022
Improving Adversarial Robustness with Self-Paced Hard-Class Pair Reweighting
Deep Neural Networks are vulnerable to adversarial attacks. Among many d...
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10/23/2022
Finding matchings in dense hypergraphs
We consider the algorithmic decision problem that takes as input an n-ve...
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08/12/2022
Semantic Compression with Side Information: A Rate-Distortion Perspective
We consider the semantic rate-distortion problem motivated by task-orien...
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02/09/2022
The decision problem for perfect matchings in dense hypergraphs
Given 1≤ℓ <k and δ≥0, let PM(k,ℓ,δ) be the decision problem for the exis...
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10/13/2021
Dropout Prediction Variation Estimation Using Neuron Activation Strength
It is well-known DNNs would generate different prediction results even g...
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05/31/2021
Know Your Surroundings: Panoramic Multi-Object Tracking by Multimodality Collaboration
In this paper, we focus on the multi-object tracking (MOT) problem of au...
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01/27/2021
Boost-S: Gradient Boosted Trees for Spatial Data and Its Application to FDG-PET Imaging Data
Boosting Trees are one of the most successful statistical learning appro...
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07/22/2019
A Stochastic-Computing based Deep Learning Framework using Adiabatic Quantum-Flux-Parametron SuperconductingTechnology
The Adiabatic Quantum-Flux-Parametron (AQFP) superconducting technology ...
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02/03/2018
