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06/23/2023
NetBooster: Empowering Tiny Deep Learning By Standing on the Shoulders of Deep Giants
Tiny deep learning has attracted increasing attention driven by the subs...
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06/10/2023
ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer
Vision Transformers (ViTs) have shown impressive performance and have be...
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04/24/2023
Instant-3D: Instant Neural Radiance Field Training Towards On-Device AR/VR 3D Reconstruction
Neural Radiance Field (NeRF) based 3D reconstruction is highly desirable...
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04/24/2023
Gen-NeRF: Efficient and Generalizable Neural Radiance Fields via Algorithm-Hardware Co-Design
Novel view synthesis is an essential functionality for enabling immersiv...
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11/18/2022
Castling-ViT: Compressing Self-Attention via Switching Towards Linear-Angular Attention During Vision Transformer Inference
Vision Transformers (ViTs) have shown impressive performance but still r...
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10/24/2022
NASA: Neural Architecture Search and Acceleration for Hardware Inspired Hybrid Networks
Multiplication is arguably the most cost-dominant operation in modern de...
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10/18/2022
ViTCoD: Vision Transformer Acceleration via Dedicated Algorithm and Accelerator Co-Design
Vision Transformers (ViTs) have achieved state-of-the-art performance on...
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07/08/2022
SuperTickets: Drawing Task-Agnostic Lottery Tickets from Supernets via Jointly Architecture Searching and Parameter Pruning
Neural architecture search (NAS) has demonstrated amazing success in sea...
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06/15/2022
i-FlatCam: A 253 FPS, 91.49 μJ/Frame Ultra-Compact Intelligent Lensless Camera for Real-Time and Efficient Eye Tracking in VR/AR
We present a first-of-its-kind ultra-compact intelligent camera system, ...
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06/02/2022
EyeCoD: Eye Tracking System Acceleration via FlatCam-based Algorithm Accelerator Co-Design
Eye tracking has become an essential human-machine interaction modality ...
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05/17/2022
ShiftAddNAS: Hardware-Inspired Search for More Accurate and Efficient Neural Networks
Neural networks (NNs) with intensive multiplications (e.g., convolutions...
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03/15/2022
LDP: Learnable Dynamic Precision for Efficient Deep Neural Network Training and Inference
Low precision deep neural network (DNN) training is one of the most effe...
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03/07/2022
I-GCN: A Graph Convolutional Network Accelerator with Runtime Locality Enhancement through Islandization
Graph Convolutional Networks (GCNs) have drawn tremendous attention in t...
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12/22/2021
GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design
Graph Convolutional Networks (GCNs) have emerged as the state-of-the-art...
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09/18/2021
G-CoS: GNN-Accelerator Co-Search Towards Both Better Accuracy and Efficiency
Graph Neural Networks (GNNs) have emerged as the state-of-the-art (SOTA)...
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03/19/2021
HW-NAS-Bench:Hardware-Aware Neural Architecture Search Benchmark
HardWare-aware Neural Architecture Search (HW-NAS) has recently gained t...
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03/01/2021
GEBT: Drawing Early-Bird Tickets in Graph Convolutional Network Training
Graph Convolutional Networks (GCNs) have emerged as the state-of-the-art...
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01/07/2021
Max-Affine Spline Insights Into Deep Network Pruning
In this paper, we study the importance of pruning in Deep Networks (DNs)...
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01/04/2021
SmartDeal: Re-Modeling Deep Network Weights for Efficient Inference and Training
The record-breaking performance of deep neural networks (DNNs) comes wit...
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12/24/2020
FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training
Recent breakthroughs in deep neural networks (DNNs) have fueled a tremen...
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10/28/2020
DNA: Differentiable Network-Accelerator Co-Search
Powerful yet complex deep neural networks (DNNs) have fueled a booming d...
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10/24/2020
ShiftAddNet: A Hardware-Inspired Deep Network
Multiplication (e.g., convolution) is arguably a cornerstone of modern d...
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05/07/2020
SmartExchange: Trading Higher-cost Memory Storage/Access for Lower-cost Computation
We present SmartExchange, an algorithm-hardware co-design framework to t...
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09/26/2019
Drawing early-bird tickets: Towards more efficient training of deep networks
(Frankle & Carbin, 2019) shows that there exist winning tickets (small b...
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11/19/2018
