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09/21/2023
Towards Answering Health-related Questions from Medical Videos: Datasets and Approaches
The increase in the availability of online videos has transformed the wa...
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06/13/2023
One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning
We present Generalized LoRA (GLoRA), an advanced approach for universal ...
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06/01/2023
Large Scale Generative Multimodal Attribute Extraction for E-commerce Attributes
E-commerce websites (e.g. Amazon) have a plethora of structured and unst...
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05/07/2023
Empowering Language Model with Guided Knowledge Fusion for Biomedical Document Re-ranking
Pre-trained language models (PLMs) have proven to be effective for docum...
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03/09/2023
Aux-Drop: Handling Haphazard Inputs in Online Learning Using Auxiliary Dropouts
Many real-world applications based on online learning produce streaming ...
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11/15/2022
Classifying text using machine learning models and determining conversation drift
Text classification helps analyse texts for semantic meaning and relevan...
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11/15/2022
Machine Learning enabled models for YouTube Ranking Mechanism and Views Prediction
With the continuous increase of internet usage in todays time, everyone ...
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11/14/2022
Learning to Answer Multilingual and Code-Mixed Questions
Question-answering (QA) that comes naturally to humans is a critical com...
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10/05/2022
Medical Image Retrieval via Nearest Neighbor Search on Pre-trained Image Features
Nearest neighbor search (NNS) aims to locate the points in high-dimensio...
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06/14/2022
CHQ-Summ: A Dataset for Consumer Healthcare Question Summarization
The quest for seeking health information has swamped the web with consum...
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01/30/2022
A Dataset for Medical Instructional Video Classification and Question Answering
This paper introduces a new challenge and datasets to foster research to...
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08/16/2021
BloomNet: A Robust Transformer based model for Bloom's Learning Outcome Classification
Bloom taxonomy is a common paradigm for categorizing educational learnin...
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07/01/2021
Reinforcement Learning for Abstractive Question Summarization with Question-aware Semantic Rewards
The growth of online consumer health questions has led to the necessity ...
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06/01/2021
Question-aware Transformer Models for Consumer Health Question Summarization
Searching for health information online is becoming customary for more a...
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03/08/2021
Domain Controlled Title Generation with Human Evaluation
We study automatic title generation and present a method for generating ...
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01/14/2021
Rescaling CNN through Learnable Repetition of Network Parameters
Deeper and wider CNNs are known to provide improved performance for deep...
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11/23/2020
Siamese Tracking with Lingual Object Constraints
Classically, visual object tracking involves following a target object t...
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08/26/2020
A Three-Stage Algorithm for the Large Scale Dynamic Vehicle Routing Problem with an Industry 4.0 Approach
Industry 4.0 is a concept which helps companies to have a smart supply c...
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08/10/2020
A Two-Stage Metaheuristic Algorithm for the Dynamic Vehicle Routing Problem in Industry 4.0 approach
Industry 4.0 is a concept that assists companies in developing a modern ...
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12/22/2019
Hiding Data in Images Using Cryptography and Deep Neural Network
Steganography is an art of obscuring data inside another quotidian file ...
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09/09/2019
Improving Neural Question Generation using World Knowledge
In this paper, we propose a method for incorporating world knowledge (li...
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11/01/2018
Helping each Other: A Framework for Customer-to-Customer Suggestion Mining using a Semi-supervised Deep Neural Network
Suggestion mining is increasingly becoming an important task along with ...
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08/05/2018
Combining Graph-based Dependency Features with Convolutional Neural Network for Answer Triggering
Answer triggering is the task of selecting the best-suited answer for a ...
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10/12/2017
Auto Analysis of Customer Feedback using CNN and GRU Network
Analyzing customer feedback is the best way to channelize the data into ...
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02/01/2017