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08/23/2023
Less is More – Towards parsimonious multi-task models using structured sparsity
Group sparsity in Machine Learning (ML) encourages simpler, more interpr...
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08/10/2023
ReLU and Addition-based Gated RNN
We replace the multiplication and sigmoid function of the conventional r...
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06/23/2023
Bridging the Performance Gap between DETR and R-CNN for Graphical Object Detection in Document Images
This paper takes an important step in bridging the performance gap betwe...
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06/19/2023
Performance of data-driven inner speech decoding with same-task EEG-fMRI data fusion and bimodal models
Decoding inner speech from the brain signal via hybridisation of fMRI an...
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05/04/2023
Towards End-to-End Semi-Supervised Table Detection with Deformable Transformer
Table detection is the task of classifying and localizing table objects ...
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04/27/2023
Robust and Fast Vehicle Detection using Augmented Confidence Map
Vehicle detection in real-time scenarios is challenging because of the t...
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04/25/2023
NLP-LTU at SemEval-2023 Task 10: The Impact of Data Augmentation and Semi-Supervised Learning Techniques on Text Classification Performance on an Imbalanced Dataset
In this paper, we propose a methodology for task 10 of SemEval23, focusi...
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04/20/2023
Learning Self-Supervised Representations for Label Efficient Cross-Domain Knowledge Transfer on Diabetic Retinopathy Fundus Images
This work presents a novel label-efficient selfsupervised representation...
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04/19/2023
Domain Adaptable Self-supervised Representation Learning on Remote Sensing Satellite Imagery
This work presents a novel domain adaption paradigm for studying contras...
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04/05/2023
Deep Perceptual Similarity is Adaptable to Ambiguous Contexts
The concept of image similarity is ambiguous, meaning that images that a...
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03/29/2023
WordStylist: Styled Verbatim Handwritten Text Generation with Latent Diffusion Models
Text-to-Image synthesis is the task of generating an image according to ...
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03/04/2023
Lon-eå at SemEval-2023 Task 11: A Comparison of Activation Functions for Soft and Hard Label Prediction
We study the influence of different activation functions in the output l...
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02/08/2023
A Systematic Performance Analysis of Deep Perceptual Loss Networks Breaks Transfer Learning Conventions
Deep perceptual loss is a type of loss function in computer vision that ...
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01/28/2023
Bipol: Multi-axes Evaluation of Bias with Explainability in Benchmark Datasets
We evaluate five English NLP benchmark datasets (available on the superG...
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10/18/2022
Depth Contrast: Self-Supervised Pretraining on 3DPM Images for Mining Material Classification
This work presents a novel self-supervised representation learning metho...
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10/13/2022
Multi-Task Meta Learning: learn how to adapt to unseen tasks
This work aims to integrate two learning paradigms Multi-Task Learning (...
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10/11/2022
T5 for Hate Speech, Augmented Data and Ensemble
We conduct relatively extensive investigations of automatic hate speech ...
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07/06/2022
Identifying and Mitigating Flaws of Deep Perceptual Similarity Metrics
Measuring the similarity of images is a fundamental problem to computer ...
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05/07/2022
Vector Representations of Idioms in Conversational Systems
We demonstrate, in this study, that an open-domain conversational system...
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05/05/2022
Deep Neural Network approaches for Analysing Videos of Music Performances
This paper presents a framework to automate the labelling process for ge...
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05/02/2022
State-of-the-art in Open-domain Conversational AI: A Survey
We survey SoTA open-domain conversational AI models with the purpose of ...
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04/28/2022
SemAttNet: Towards Attention-based Semantic Aware Guided Depth Completion
Depth completion involves recovering a dense depth map from a sparse map...
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04/17/2022
Ìtàkúròso: Exploiting Cross-Lingual Transferability for Natural Language Generation of Dialogues in Low-Resource, African Languages
We investigate the possibility of cross-lingual transfer from a state-of...
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04/15/2022
ML_LTU at SemEval-2022 Task 4: T5 Towards Identifying Patronizing and Condescending Language
This paper describes the system used by the Machine Learning Group of LT...
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03/16/2022
A Survey of Historical Document Image Datasets
This paper presents a systematic literature review of image datasets for...
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03/15/2022
Magnification Prior: A Self-Supervised Method for Learning Representations on Breast Cancer Histopathological Images
This work presents a novel self-supervised pre-training method to learn ...
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02/11/2022
HaT5: Hate Language Identification using Text-to-Text Transfer Transformer
We investigate the performance of a state-of-the art (SoTA) architecture...
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12/11/2021
Technical Language Supervision for Intelligent Fault Diagnosis in Process Industry
In the process industry, condition monitoring systems with automated fau...
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11/23/2021
Sharing to learn and learning to share - Fitting together Meta-Learning, Multi-Task Learning, and Transfer Learning : A meta review
Integrating knowledge across different domains is an essential feature o...
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10/12/2021
Småprat: DialoGPT for Natural Language Generation of Swedish Dialogue by Transfer Learning
Building open-domain conversational systems (or chatbots) that produce c...
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04/29/2021
Current Status and Performance Analysis of Table Recognition in Document Images with Deep Neural Networks
The first phase of table recognition is to detect the tabular area in a ...
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04/25/2021
Potential Idiomatic Expression (PIE)-English: Corpus for Classes of Idioms
We present a fairly large, Potential Idiomatic Expression (PIE) dataset ...
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04/21/2021
Guided Table Structure Recognition through Anchor Optimization
This paper presents the novel approach towards table structure recogniti...
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11/15/2020
The Challenge of Diacritics in Yoruba Embeddings
The major contributions of this work include the empirical establishment...
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11/06/2020
Corpora Compared: The Case of the Swedish Gigaword Wikipedia Corpora
In this work, we show that the difference in performance of embeddings f...
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07/23/2020
Exploring Swedish English fastText Embeddings with the Transformer
In this paper, our main contributions are that embeddings from relativel...
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03/23/2020
Word2Vec: Optimal Hyper-Parameters and Their Impact on NLP Downstream Tasks
Word2Vec is a prominent tool for Natural Language Processing (NLP) tasks...
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03/16/2020
Pretraining Image Encoders without Reconstruction via Feature Prediction Loss
This work investigates three different loss functions for autoencoder-ba...
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03/03/2020
HyperEmbed: Tradeoffs Between Resources and Performance in NLP Tasks with Hyperdimensional Computing enabled Embedding of n-gram Statistics
Recent advances in Deep Learning have led to a significant performance i...
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01/10/2020
Improving Image Autoencoder Embeddings with Perceptual Loss
Autoencoders are commonly trained using element-wise loss. However, elem...
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06/11/2019
Improving Reproducible Deep Learning Workflows with DeepDIVA
The field of deep learning is experiencing a trend towards producing rep...
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06/11/2019
Survey of Artificial Intelligence for Card Games and Its Application to the Swiss Game Jass
In the last decades we have witnessed the success of applications of Art...
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06/06/2019
Mr and Professor
In this paper, the authors propose to increase the efficiency of blockch...
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05/22/2019
A Comprehensive Study of ImageNet Pre-Training for Historical Document Image Analysis
Automatic analysis of scanned historical documents comprises a wide rang...
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03/08/2019
ICDAR 2019 Historical Document Reading Challenge on Large Structured Chinese Family Records
We propose a Historical Document Reading Challenge on Large Chinese Stru...
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02/25/2019
Using Deep Object Features for Image Descriptions
Inspired by recent advances in leveraging multiple modalities in machine...
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01/08/2019
A Comprehensive guide to Bayesian Convolutional Neural Network with Variational Inference
Artificial Neural Networks are connectionist systems that perform a give...
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11/05/2018
Leveraging Random Label Memorization for Unsupervised Pre-Training
We present a novel approach to leverage large unlabeled datasets by pre-...
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10/17/2018
Offline Signature Verification by Combining Graph Edit Distance and Triplet Networks
Biometric authentication by means of handwritten signatures is a challen...
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10/16/2018
