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05/09/2023
Instant-NeRF: Instant On-Device Neural Radiance Field Training via Algorithm-Accelerator Co-Designed Near-Memory Processing
Instant on-device Neural Radiance Fields (NeRFs) are in growing demand f...
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04/25/2023
Hint-Aug: Drawing Hints from Foundation Vision Transformers Towards Boosted Few-Shot Parameter-Efficient Tuning
Despite the growing demand for tuning foundation vision transformers (FV...
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11/09/2022
ViTALiTy: Unifying Low-rank and Sparse Approximation for Vision Transformer Acceleration with a Linear Taylor Attention
Vision Transformer (ViT) has emerged as a competitive alternative to con...
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07/24/2022
e-G2C: A 0.14-to-8.31 μJ/Inference NN-based Processor with Continuous On-chip Adaptation for Anomaly Detection and ECG Conversion from EGM
This work presents the first silicon-validated dedicated EGM-to-ECG (G2C...
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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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03/16/2022
Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations?
Vision transformers (ViTs) have recently set off a new wave in neural ar...
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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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10/26/2021
Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks
Deep Neural Networks (DNNs) are known to be vulnerable to adversarial at...
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09/22/2021
Rapid detection and recognition of whole brain activity in a freely behaving Caenorhabditis elegans
Advanced volumetric imaging methods and genetically encoded activity ind...
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01/18/2021
