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Visual Question Answering using Deep Learning: A Survey and Performance Analysis [article]

Yash Srivastava, Vaishnav Murali, Shiv Ram Dubey, Snehasis Mukherjee
2020 arXiv   pre-print
Given an image and a question in natural language, the VQA system tries to find the correct answer to it using visual elements of the image and inference gathered from textual questions.  ...  The Visual Question Answering (VQA) task combines challenges for processing data with both Visual and Linguistic processing, to answer basic 'common sense' questions about given images.  ...  Vanilla VQA [1] : Considered as a benchmark for deep learning methods, the vanilla VQA model uses CNN for feature extraction and LSTM or Recurrent networks for language processing.  ... 
arXiv:1909.01860v2 fatcat:y7fu3ta3hzbbvjvhten3dekmue

Deep Learning applications for COVID-19

Connor Shorten, Taghi M. Khoshgoftaar, Borko Furht
2021 Journal of Big Data  
We hope that this survey will help accelerate the use of Deep Learning for COVID-19 research.  ...  Natural Language Processing applications include mining COVID-19 research for Information Retrieval and Question Answering, as well as Misinformation Detection, and Public Sentiment Analysis.  ...  Acknowledgements We would like to thank the reviewers in the Data Mining and Machine Learning Laboratory at Florida Atlantic University.  ... 
doi:10.1186/s40537-020-00392-9 pmid:33457181 pmcid:PMC7797891 fatcat:aokxo63z2rhdpfxo3egyf3xpcm

Learning to Perform Physics Experiments via Deep Reinforcement Learning [article]

Misha Denil, Pulkit Agrawal, Tejas D Kulkarni, Tom Erez, Peter Battaglia, Nando de Freitas
2017 arXiv   pre-print
We found that state of art deep reinforcement learning methods can learn to perform the experiments necessary to discover such hidden properties.  ...  By systematically manipulating the problem difficulty and the cost incurred by the agent for performing experiments, we found that agents learn different strategies that balance the cost of gathering information  ...  We would also like to thank the ICLR reviewers, whose helpful feedback allowed us to greatly improve the paper.  ... 
arXiv:1611.01843v3 fatcat:uggfwqt2xveubhj5fflp22li5e

iSAT: a visual learning analytics tool for instructors

Rwitajit Majumdar, Sridhar Iyer
2016 Research and Practice in Technology Enhanced Learning  
Interactive Stratified Attribute Tracking (iSAT) is a visual analytics tool for cohort analysis.  ...  Here, we report usefulness and usability data collected from those workshops. In conclusion, we highlight the power of iSAT for instructors to do cohort analysis in their teaching-learning practice.  ...  In PI (see Fig. 2 for activity flow), students are engaged in active learning by participating in a deep conceptual multiple-choice question (Q1) on any topic.  ... 
doi:10.1186/s41039-016-0043-3 pmid:30613249 pmcid:PMC6302866 fatcat:vilm6uvfufbspgv72r2airdcjy

Causal Reasoning Meets Visual Representation Learning: A Prospective Study [article]

Yang Liu, Yushen Wei, Hong Yan, Guanbin Li, Liang Lin
2022 arXiv   pre-print
analysis about why modern visual representation learning methods are easily collapse into data bias and have limited generalization and cognitive abilities.  ...  Visual representation learning is ubiquitous in various real-world applications, including visual comprehension, video understanding, multi-modal analysis, human-computer interaction, and urban computing  ...  Acknowledgments This work was supported by National Natural Science Foundation of China (No. 62002395), and the National Natural Science Foundation of Guangdong Province (No. 2021A15150123).  ... 
arXiv:2204.12037v4 fatcat:fgrz2vh42bdozcb5lfegfv5x34

Learning Styles: Learning that Empowers Students?

Tofi Rahal
2010 Learning & Teaching in Higher Education: Gulf Perspectives  
that offers a set of 116 questions covering all six categories and their respective elements for US$5 per survey.  ...  Visual Picture Whether you learn better by using your mind's eye or seeing illustrations and graphs.  ... 
doi:10.18538/lthe.v7.n2.45 fatcat:erbyn4xmujhjxg62bq233dlwga

Natural Language Processing Advancements By Deep Learning: A Survey [article]

Amirsina Torfi, Rouzbeh A. Shirvani, Yaser Keneshloo, Nader Tavaf, Edward A. Fox
2021 arXiv   pre-print
This survey categorizes and addresses the different aspects and applications of NLP that have benefited from deep learning.  ...  Recent developments in computational power and the advent of large amounts of linguistic data have heightened the need and demand for automating semantic analysis using data-driven approaches.  ...  image, Visual Question Answering (VQA) tries to answer a natural language question about the image [148] .  ... 
arXiv:2003.01200v4 fatcat:riw6vvl24nfvboy56v2zfcidpu

Medical Deep Learning – A systematic Meta-Review [article]

Jan Egger, Christina Gsaxner, Antonio Pepe, Jianning Li
2020 arXiv   pre-print
With these surveys as foundation, the aim of this contribution is to provide a very first high-level, systematic meta-review of medical deep learning surveys.  ...  Nevertheless, several review and survey articles about medical deep learning have been presented within the last years.  ...  [50] perform a systematic review on deep learning applications for EEG classification, addressing several questions, like where deep learning was used to classify specific EEG tasks.  ... 
arXiv:2010.14881v4 fatcat:56nrzawncnaopcpuzlzac5ceoy

Deep Learning for Embodied Vision Navigation: A Survey [article]

Fengda Zhu, Yi Zhu, Vincent CS Lee, Xiaodan Liang, Xiaojun Chang
2021 arXiv   pre-print
The remarkable learning ability of deep learning methods empowered the agents to accomplish embodied visual navigation tasks.  ...  This paper attempts to establish an outline of the current works in the field of embodied visual navigation by providing a comprehensive literature survey.  ...  Embodied Questioning and Answering (EQA) Visual Question Answering (VQA) [50] is a cross-modal task, in which a system answers a text-based question with a given image.  ... 
arXiv:2108.04097v4 fatcat:46p2p3zlivabbn7dvowkyccufe

Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers [article]

Fred Hohman, Minsuk Kahng, Robert Pienta, Duen Horng Chau
2018 arXiv   pre-print
We present a survey of the role of visual analytics in deep learning research, which highlights its short yet impactful history and thoroughly summarizes the state-of-the-art using a human-centered interrogative  ...  This survey helps researchers and practitioners in both visual analytics and deep learning to quickly learn key aspects of this young and rapidly growing body of research, whose impact spans a diverse  ...  Some work for interpreting visual question answering (VQA) models and tasks use these heatmaps to explain which parts of an image a VQA model is looking at in unison with text activation maps when answering  ... 
arXiv:1801.06889v3 fatcat:c5x3ftcf5fbapc5tsyhm5w2dhq

A Review on Methods and Applications in Multimodal Deep Learning [article]

Jabeen Summaira, Xi Li, Amin Muhammad Shoib, Jabbar Abdul
2022 arXiv   pre-print
Deep Learning has implemented a wide range of applications and has become increasingly popular in recent years.  ...  The goal of multimodal deep learning (MMDL) is to create models that can process and link information using various modalities.  ...  Our primary focus is distinctive in that we seek to survey the literature from up-to-date deep learning concepts using more modalities.  ... 
arXiv:2202.09195v1 fatcat:wwxrmrwmerfabbenleylwmmj7y

The value of learning analytics to networked learning on a personal learning environment

Hélène Fournier, Rita Kop, Hanan Sitlia
2011 Proceedings of the 1st International Conference on Learning Analytics and Knowledge - LAK '11  
Methodological concerns related to the analysis of Big Data collected on online networks as well as ethical and privacy concerns will also be highlighted and a case study of the use of learning analytics  ...  In this paper we will try to define learning analytics and their purpose for learning and education.  ...  Learning analytics tools have clearly provided scope for information filtering and visualization, as promising technologies to support people in clarifying and relating information, peer learners and digital  ... 
doi:10.1145/2090116.2090131 dblp:conf/lak/FournierKS11 fatcat:va3pribwkfeqxlm6r2ugoymivy

Show and Recall: Learning What Makes Videos Memorable [article]

Sumit Shekhar, Dhruv Singal, Harvineet Singh, Manav Kedia, Akhil Shetty
2017 arXiv   pre-print
With the explosion of video content on the Internet, there is a need for research on methods for video analysis which take human cognition into account.  ...  Prior research has looked into image memorability and shown that it is intrinsic to visual content, but the problem of modeling video memorability has not been addressed sufficiently.  ...  We also thank our colleagues from Adobe Research who provided insight and expertise that greatly assisted the research. We particularly thank Atanu Ranjan Sinha and P.  ... 
arXiv:1707.05357v3 fatcat:moo4owc5svglhmut3kazxo7tay

Are Deep Learning Approaches Suitable for Natural Language Processing? [chapter]

S. Alshahrani, E. Kapetanios
2016 Lecture Notes in Computer Science  
In this paper, we have surveyed major recent contributions that use DL techniques for NLP tasks.  ...  In recent years, Deep Learning (DL) techniques have gained much attention from Artificial Intelligence (AI) and Natural Language Processing (NLP) research communities because these approaches can often  ...  from the basic character level [57] and text categorization [11] .A further use of CNNs is in the visual question-answering model, known as mQA model, which is able to answer a question about image contents  ... 
doi:10.1007/978-3-319-41754-7_33 fatcat:ssbeueae2fh6vpexuehm5u5cna

Enhancing the Learning Process with Blended Learning

2020 International journal of recent technology and engineering  
Learning is a wonderful and never ending process. Teaching plays a vital role in the process of learning. Teaching should never be considered as an occupation. It might be a Passion.  ...  A Passionate teacher always thinks about the effective tools which make his students' learning process easy and interesting. Blended Learning will be a wonderful tool for these passionate teachers.  ...  Analysis and Discussion After collecting the questionnaire, a deep survey was made and analyzed. For the question, How far is the course useful to enhance the Vocabulary?  ... 
doi:10.35940/ijrte.d1029.1284s419 fatcat:ugn4lz5lvnaefogv53xusd6pra
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