research
∙
09/12/2023
C4CAM: A Compiler for CAM-based In-memory Accelerators
Machine learning and data analytics applications increasingly suffer fro...
share
research
∙
07/27/2023
Accelerating Polynomial Modular Multiplication with Crossbar-Based Compute-in-Memory
Lattice-based cryptographic algorithms built on ring learning with error...
research
∙
02/08/2023
Mask Conditional Synthetic Satellite Imagery
In this paper we propose a mask-conditional synthetic image generation m...
research
∙
07/16/2022
Associative Memory Based Experience Replay for Deep Reinforcement Learning
Experience replay is an essential component in deep reinforcement learni...
research
∙
05/03/2022
Deep Multi-Scale U-Net Architecture and Noise-Robust Training Strategies for Histopathological Image Segmentation
Although the U-Net architecture has been extensively used for segmentati...
research
∙
02/18/2022
iMARS: An In-Memory-Computing Architecture for Recommendation Systems
Recommendation systems (RecSys) suggest items to users by predicting the...
research
∙
08/16/2021
Decentralized Multi-AGV Task Allocation based on Multi-Agent Reinforcement Learning with Information Potential Field Rewards
Automated Guided Vehicles (AGVs) have been widely used for material hand...
research
∙
08/01/2020
CROSSLINE: Breaking ”Security-by-Crash” based Memory Isolation in AMD SEV
AMD's Secure Encrypted Virtualization (SEV) is an emerging security feat...
research
∙
04/07/2020
Towards Non-task-specific Distillation of BERT via Sentence Representation Approximation
Recently, BERT has become an essential ingredient of various NLP deep mo...
research
∙
02/23/2020
Deep Learning Based FDD Non-Stationary Massive MIMO Downlink Channel Reconstruction
This paper proposes a model-driven deep learning-based downlink channel ...
research
∙
11/06/2019
Guiding Variational Response Generator to Exploit Persona
Leveraging persona information of users in Neural Response Generators (N...
research
∙
08/14/2019
