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20152026
most citedA Comprehensive guide to Bayesian Convolutional Neural Network with Variational Inference

162 citations · 1.2k across the 78 of their papers we have counts for

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Showing 2021Show all

6 papers · 1 filter

cs.AI2021★ 2 cited

Technical Language Supervision for Intelligent Fault Diagnosis in Process Industry

Karl Löwenmark, Cees Taal, Stephan Schnabel +2

In the process industry, condition monitoring systems with automated fault diagnosis methods assist human experts and thereby improve maintenance efficiency, process sustainability…

cs.LG2021★ 28 cited

Sharing to learn and learning to share; Fitting together Meta-Learning, Multi-Task Learning, and Transfer Learning: A meta review

Richa Upadhyay, Ronald Phlypo, Rajkumar Saini +1

Integrating knowledge across different domains is an essential feature of human learning. Learning paradigms such as transfer learning, meta-learning, and multi-task learning refle…

cs.CL2021★ 1 cited

Småprat: DialoGPT for Natural Language Generation of Swedish Dialogue by Transfer Learning

Tosin Adewumi, Rickard Brännvall, Nosheen Abid +4

Building open-domain conversational systems (or chatbots) that produce convincing responses is a recognized challenge. Recent state-of-the-art (SoTA) transformer-based models for t…

cs.CV2021★ 1 cited

Current Status and Performance Analysis of Table Recognition in Document Images with Deep Neural Networks

Khurram Azeem Hashmi, Marcus Liwicki, Didier Stricker +3

The first phase of table recognition is to detect the tabular area in a document. Subsequently, the tabular structures are recognized in the second phase in order to extract inform…

cs.CL2021★ 8 cited

Potential Idiomatic Expression (PIE)-English: Corpus for Classes of Idioms

Tosin P. Adewumi, Roshanak Vadoodi, Aparajita Tripathy +3

We present a fairly large, Potential Idiomatic Expression (PIE) dataset for Natural Language Processing (NLP) in English. The challenges with NLP systems with regards to tasks such…

cs.CV2021

Guided Table Structure Recognition through Anchor Optimization

Khurram Azeem Hashmi, Didier Stricker, Marcus Liwicki +2

This paper presents the novel approach towards table structure recognition by leveraging the guided anchors. The concept differs from current state-of-the-art approaches for table…