research
∙
05/12/2023
PillarAcc: Sparse PointPillars Accelerator for Real-Time Point Cloud 3D Object Detection on Edge Devices
3D object detection using point cloud (PC) data is vital for autonomous ...
share
research
∙
12/09/2022
Benchmarking Self-Supervised Learning on Diverse Pathology Datasets
Computational pathology can lead to saving human lives, but models are a...
research
∙
09/01/2022
Sparse Attention Acceleration with Synergistic In-Memory Pruning and On-Chip Recomputation
As its core computation, a self-attention mechanism gauges pairwise corr...
research
∙
04/07/2022
Accelerating Attention through Gradient-Based Learned Runtime Pruning
Self-attention is a key enabler of state-of-art accuracy for various tra...
research
∙
10/09/2021
RankingMatch: Delving into Semi-Supervised Learning with Consistency Regularization and Ranking Loss
Semi-supervised learning (SSL) has played an important role in leveragin...
research
∙
02/15/2021
CAP-GAN: Towards Adversarial Robustness with Cycle-consistent Attentional Purification
Adversarial attack is aimed at fooling the target classifier with imperc...
research
∙
02/12/2021
ReRankMatch: Semi-Supervised Learning with Semantics-Oriented Similarity Representation
This paper proposes integrating semantics-oriented similarity representa...
research
∙
02/28/2020
Applying Tensor Decomposition to image for Robustness against Adversarial Attack
Nowadays the deep learning technology is growing faster and shows dramat...
research
∙
10/24/2016
A 481pJ/decision 3.4M decision/s Multifunctional Deep In-memory Inference Processor using Standard 6T SRAM Array
This paper describes a multi-functional deep in-memory processor for inf...
research
∙
07/03/2016
