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08/07/2023
Cross-Silo Prototypical Calibration for Federated Learning with Non-IID Data
Federated Learning aims to learn a global model on the server side that ...
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08/01/2023
LGViT: Dynamic Early Exiting for Accelerating Vision Transformer
Recently, the efficient deployment and acceleration of powerful vision t...
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11/11/2022
Dance of SNN and ANN: Solving binding problem by combining spike timing and reconstructive attention
The binding problem is one of the fundamental challenges that prevent th...
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09/07/2022
Semi-supervised Crowd Counting via Density Agency
In this paper, we propose a new agency-guided semi-supervised counting a...
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05/08/2022
On the Use of BERT for Automated Essay Scoring: Joint Learning of Multi-Scale Essay Representation
In recent years, pre-trained models have become dominant in most natural...
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03/05/2022
Boosting Crowd Counting via Multifaceted Attention
This paper focuses on the challenging crowd counting task. As large-scal...
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12/11/2021
Object Counting: You Only Need to Look at One
This paper aims to tackle the challenging task of one-shot object counti...
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07/04/2021
Direct Measure Matching for Crowd Counting
Traditional crowd counting approaches usually use Gaussian assumption to...
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05/18/2020
Attention-based Transducer for Online Speech Recognition
Recent studies reveal the potential of recurrent neural network transduc...
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04/20/2020
Gated Convolutional Bidirectional Attention-based Model for Off-topic Spoken Response Detection
Off-topic spoken response detection, the task aiming at assessing whethe...
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05/30/2019
SDN-based In-network Honeypot: Preemptively Disrupt and Mislead Attacks in IoT Networks
Detecting cyber attacks in the network environments used by Internet-of-...
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10/31/2018
Attention-based sequence-to-sequence model for speech recognition: development of state-of-the-art system on LibriSpeech and its application to non-native English
Recent research has shown that attention-based sequence-tosequence model...
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07/13/2018
Hybrid CTC-Attention based End-to-End Speech Recognition using Subword Units
In this paper, we present an end-to-end automatic speech recognition sys...
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07/02/2018
A Simple but Effective Classification Model for Grammatical Error Correction
We treat grammatical error correction (GEC) as a classification problem ...
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10/07/2016
Indoor Space Recognition using Deep Convolutional Neural Network: A Case Study at MIT Campus
In this paper, we propose a robust and parsimonious approach using Deep ...
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10/16/2012