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07/19/2023
From West to East: Who can understand the music of the others better?
Recent developments in MIR have led to several benchmark deep learning m...
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07/16/2023
Self-Attention Based Generative Adversarial Networks For Unsupervised Video Summarization
In this paper, we study the problem of producing a comprehensive video s...
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05/03/2023
SeqAug: Sequential Feature Resampling as a modality agnostic augmentation method
Data augmentation is a prevalent technique for improving performance in ...
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04/06/2023
Efficient Audio Captioning Transformer with Patchout and Text Guidance
Automated audio captioning is multi-modal translation task that aim to g...
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03/24/2023
Depression detection in social media posts using affective and social norm features
We propose a deep architecture for depression detection from social medi...
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12/31/2022
Sample-Efficient Unsupervised Domain Adaptation of Speech Recognition Systems A case study for Modern Greek
Modern speech recognition systems exhibits rapid performance degradation...
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12/15/2022
Alternating Objectives Generates Stronger PGD-Based Adversarial Attacks
Designing powerful adversarial attacks is of paramount importance for th...
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12/01/2022
Adapted Multimodal BERT with Layer-wise Fusion for Sentiment Analysis
Multimodal learning pipelines have benefited from the success of pretrai...
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11/21/2022
A Dataset for Greek Traditional and Folk Music: Lyra
Studying under-represented music traditions under the MIR scope is cruci...
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10/03/2022
Extending Compositional Attention Networks for Social Reasoning in Videos
We propose a novel deep architecture for the task of reasoning about soc...
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07/02/2022
A Multi-Task BERT Model for Schema-Guided Dialogue State Tracking
Task-oriented dialogue systems often employ a Dialogue State Tracker (DS...
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04/28/2022
Regotron: Regularizing the Tacotron2 architecture via monotonic alignment loss
Recent deep learning Text-to-Speech (TTS) systems have achieved impressi...
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01/24/2022
MMLatch: Bottom-up Top-down Fusion for Multimodal Sentiment Analysis
Current deep learning approaches for multimodal fusion rely on bottom-up...
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10/30/2021
EmpBot: A T5-based Empathetic Chatbot focusing on Sentiments
In this paper, we introduce EmpBot: an end-to-end empathetic chatbot. Em...
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04/14/2021
UDALM: Unsupervised Domain Adaptation through Language Modeling
In this work we explore Unsupervised Domain Adaptation (UDA) of pretrain...
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04/14/2021
Unsupervised low-rank representations for speech emotion recognition
We examine the use of linear and non-linear dimensionality reduction alg...
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02/08/2021
End-to-end Generative Zero-shot Learning via Few-shot Learning
Contemporary state-of-the-art approaches to Zero-Shot Learning (ZSL) tra...
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06/09/2019
Attention-based Conditioning Methods for External Knowledge Integration
In this paper, we present a novel approach for incorporating external kn...
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04/11/2019
Cross-topic distributional semantic representations via unsupervised mappings
In traditional Distributional Semantic Models (DSMs) the multiple senses...
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04/07/2019
SEQ^3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sentence Compression
Neural sequence-to-sequence models are currently the dominant approach i...
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02/27/2019
An Embarrassingly Simple Approach for Transfer Learning from Pretrained Language Models
A growing number of state-of-the-art transfer learning methods employ la...
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11/09/2018
Integrating Recurrence Dynamics for Speech Emotion Recognition
We investigate the performance of features that can capture nonlinear re...
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09/03/2018
NTUA-SLP at IEST 2018: Ensemble of Neural Transfer Methods for Implicit Emotion Classification
In this paper we present our approach to tackle the Implicit Emotion Sha...
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06/01/2018
Pattern Search Multidimensional Scaling
We present a novel view of nonlinear manifold learning using derivative-...
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06/01/2018
Pattern Search MDS
We present a novel view of nonlinear manifold learning using derivative-...
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04/18/2018
NTUA-SLP at SemEval-2018 Task 3: Tracking Ironic Tweets using Ensembles of Word and Character Level Attentive RNNs
In this paper we present two deep-learning systems that competed at SemE...
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04/18/2018
NTUA-SLP at SemEval-2018 Task 1: Predicting Affective Content in Tweets with Deep Attentive RNNs and Transfer Learning
In this paper we present deep-learning models that submitted to the SemE...
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04/18/2018
NTUA-SLP at SemEval-2018 Task 2: Predicting Emojis using RNNs with Context-aware Attention
In this paper we present a deep-learning model that competed at SemEval-...
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01/07/2017
