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10/28/2022
Speaker recognition with two-step multi-modal deep cleansing
Neural network-based speaker recognition has achieved significant improv...
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10/26/2022
Visual Semantic Parsing: From Images to Abstract Meaning Representation
The success of scene graphs for visual scene understanding has brought a...
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03/31/2022
Graph-based Active Learning for Semi-supervised Classification of SAR Data
We present a novel method for classification of Synthetic Aperture Radar...
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03/26/2022
Driver Side and Traffic Based Evaluation Model for On-Street Parking Solutions
Parking has been a painful problem for urban drivers. The parking pain e...
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09/08/2021
Unsupervised Pre-training with Structured Knowledge for Improving Natural Language Inference
While recent research on natural language inference has considerably ben...
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09/07/2021
Unsupervised Conversation Disentanglement through Co-Training
Conversation disentanglement aims to separate intermingled messages into...
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10/05/2020
Learned Hardware/Software Co-Design of Neural Accelerators
The use of deep learning has grown at an exponential rate, giving rise t...
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06/21/2020
Improving Image Captioning with Better Use of Captions
Image captioning is a multimodal problem that has drawn extensive attent...
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02/11/2020
Generalised Lipschitz Regularisation Equals Distributional Robustness
The problem of adversarial examples has highlighted the need for a theor...
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06/17/2019
Learning Execution through Neural Code Fusion
As the performance of computer systems stagnates due to the end of Moore...
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04/22/2019
Exploring Unsupervised Pretraining and Sentence Structure Modelling for Winograd Schema Challenge
Winograd Schema Challenge (WSC) was proposed as an AI-hard problem in te...
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09/04/2018
Lipschitz Networks and Distributional Robustness
Robust risk minimisation has several advantages: it has been studied wit...
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06/08/2018
Monge beats Bayes: Hardness Results for Adversarial Training
The last few years have seen extensive empirical study of the robustness...
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04/30/2018
Towards Diverse Text Generation with Inverse Reinforcement Learning
Text generation is a crucial task in NLP. Recently, several adversarial ...
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07/02/2017
DAG-based Long Short-Term Memory for Neural Word Segmentation
Neural word segmentation has attracted more and more research interests ...
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04/25/2017
