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09/21/2023
Audio Contrastive based Fine-tuning
Audio classification plays a crucial role in speech and sound processing...
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05/01/2023
Racial Bias within Face Recognition: A Survey
Facial recognition is one of the most academically studied and industria...
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01/05/2023
Deep Latent Variable Models for Semi-supervised Paraphrase Generation
This paper explores deep latent variable models for semi-supervised para...
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12/18/2022
On Isotropy and Learning Dynamics of Contrastive-based Sentence Representation Learning
Incorporating contrastive learning objectives in sentence representation...
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11/02/2022
Knowing the Past to Predict the Future: Reinforcement Virtual Learning
Reinforcement Learning (RL)-based control system has received considerab...
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09/02/2022
INTERACTION: A Generative XAI Framework for Natural Language Inference Explanations
XAI with natural language processing aims to produce human-readable expl...
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08/16/2022
Does lossy image compression affect racial bias within face recognition?
Yes - This study investigates the impact of commonplace lossy image comp...
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08/07/2022
Towards Graph Representation Learning Based Surgical Workflow Anticipation
Surgical workflow anticipation can give predictions on what steps to con...
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03/24/2022
Using Orientation to Distinguish Overlapping Chromosomes
A difficult step in the process of karyotyping is segmenting chromosomes...
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02/15/2022
MuLD: The Multitask Long Document Benchmark
The impressive progress in NLP techniques has been driven by the develop...
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10/19/2021
Measuring Hidden Bias within Face Recognition via Racial Phenotypes
Recent work reports disparate performance for intersectional racial grou...
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08/03/2021
ExBERT: An External Knowledge Enhanced BERT for Natural Language Inference
Neural language representation models such as BERT, pre-trained on large...
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06/04/2021
Towards Equal Gender Representation in the Annotations of Toxic Language Detection
Classifiers tend to propagate biases present in the data on which they a...
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05/14/2021
Agree to Disagree: When Deep Learning Models With Identical Architectures Produce Distinct Explanations
Deep Learning of neural networks has progressively become more prominent...
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05/05/2021
Attack-agnostic Adversarial Detection on Medical Data Using Explainable Machine Learning
Explainable machine learning has become increasingly prevalent, especial...
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01/10/2021
Curvature-based Feature Selection with Application in Classifying Electronic Health Records
Electronic Health Records (EHRs) are widely applied in healthcare facili...
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12/18/2020
Trying Bilinear Pooling in Video-QA
Bilinear pooling (BLP) refers to a family of operations recently develop...
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12/18/2020
On Modality Bias in the TVQA Dataset
TVQA is a large scale video question answering (video-QA) dataset based ...
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10/22/2020
Bilinear Fusion of Commonsense Knowledge with Attention-Based NLI Models
We consider the task of incorporating real-world commonsense knowledge i...
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04/19/2020
Exploring Racial Bias within Face Recognition via per-subject Adversarially-Enabled Data Augmentation
Whilst face recognition applications are becoming increasingly prevalent...
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11/26/2018
Using Variable Natural Environment Brain-Computer Interface Stimuli for Real-time Humanoid Robot Navigation
This paper addresses the challenge of humanoid robot teleoperation in a ...
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10/22/2018
An Exploration of Dropout with RNNs for Natural Language Inference
Dropout is a crucial regularization technique for the Recurrent Neural N...
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10/19/2018
Using Machine Learning to reduce the energy wasted in Volunteer Computing Environments
High Throughput Computing (HTC) provides a convenient mechanism for runn...
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05/10/2018
On the Classification of SSVEP-Based Dry-EEG Signals via Convolutional Neural Networks
In this paper, we propose a novel Convolutional Neural Network (CNN) app...
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06/17/2016
