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08/22/2023
3ET: Efficient Event-based Eye Tracking using a Change-Based ConvLSTM Network
This paper presents a sparse Change-Based Convolutional Long Short-Term ...
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06/27/2023
To Spike or Not To Spike: A Digital Hardware Perspective on Deep Learning Acceleration
As deep learning models scale, they become increasingly competitive from...
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06/08/2023
M3Exam: A Multilingual, Multimodal, Multilevel Benchmark for Examining Large Language Models
Despite the existence of various benchmarks for evaluating natural langu...
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05/16/2023
Easy-to-Hard Learning for Information Extraction
Information extraction (IE) systems aim to automatically extract structu...
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10/23/2022
Towards Generalizable and Robust Text-to-SQL Parsing
Text-to-SQL parsing tackles the problem of mapping natural language ques...
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10/14/2022
Prompt Conditioned VAE: Enhancing Generative Replay for Lifelong Learning in Task-Oriented Dialogue
Lifelong learning (LL) is vital for advanced task-oriented dialogue (ToD...
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08/01/2022
A 23 μW Keyword Spotting IC with Ring-Oscillator-Based Time-Domain Feature Extraction
This article presents the first keyword spotting (KWS) IC which uses a r...
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06/15/2022
A Projection-Based K-space Transformer Network for Undersampled Radial MRI Reconstruction with Limited Training Subjects
The recent development of deep learning combined with compressed sensing...
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04/16/2022
UniGDD: A Unified Generative Framework for Goal-Oriented Document-Grounded Dialogue
The goal-oriented document-grounded dialogue aims at responding to the u...
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03/14/2022
Skydiver: A Spiking Neural Network Accelerator Exploiting Spatio-Temporal Workload Balance
Spiking Neural Networks (SNNs) are developed as a promising alternative ...
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02/14/2022
Spiking Cochlea with System-level Local Automatic Gain Control
Including local automatic gain control (AGC) circuitry into a silicon co...
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08/04/2021
Spartus: A 9.4 TOp/s FPGA-based LSTM Accelerator Exploiting Spatio-temporal Sparsity
Long Short-Term Memory (LSTM) recurrent networks are frequently used for...
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12/25/2020
EdgeDRNN: Recurrent Neural Network Accelerator for Edge Inference
Low-latency, low-power portable recurrent neural network (RNN) accelerat...
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02/08/2020
Recurrent Neural Network Control of a Hybrid Dynamic Transfemoral Prosthesis with EdgeDRNN Accelerator
Lower leg prostheses could improve the lives of amputees by increasing c...
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07/03/2018
ReCoNet: Real-time Coherent Video Style Transfer Network
Image style transfer models based on convolutional neural networks usual...
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06/07/2017