86 citations · 195 across the 15 of their papers we have counts for
16 papers
Language Models are Crossword Solvers
Soumadeep Saha, Sutanoya Chakraborty, Saptarshi Saha +1
Crosswords are a form of word puzzle that require a solver to demonstrate a high degree of proficiency in natural language understanding, wordplay, reasoning, and world knowledge,…
LADDER: Revisiting the Cosmic Distance Ladder with Deep Learning Approaches and Exploring its Applications
Rahul Shah, Soumadeep Saha, Purba Mukherjee +2
We investigate the prospect of reconstructing the ''cosmic distance ladder'' of the Universe using a novel deep learning framework called LADDER - Learning Algorithm for Deep Dista…
HCDIR: End-to-end Hate Context Detection, and Intensity Reduction model for online comments
Neeraj Kumar Singh, Koyel Ghosh, Joy Mahapatra +2
Warning: This paper contains examples of the language that some people may find offensive. Detecting and reducing hateful, abusive, offensive comments is a critical and challenging…
VALUED -- Vision and Logical Understanding Evaluation Dataset
Soumadeep Saha, Saptarshi Saha, Utpal Garain
Starting with early successes in computer vision tasks, deep learning based techniques have since overtaken state of the art approaches in a multitude of domains. However, it has b…
DOST -- Domain Obedient Self-supervised Training for Multi Label Classification with Noisy Labels
Soumadeep Saha, Utpal Garain, Arijit Ukil +2
The enormous demand for annotated data brought forth by deep learning techniques has been accompanied by the problem of annotation noise. Although this issue has been widely discus…
Analyzing Semantic Faithfulness of Language Models via Input Intervention on Question Answering
Akshay Chaturvedi, Swarnadeep Bhar, Soumadeep Saha +2
Transformer-based language models have been shown to be highly effective for several NLP tasks. In this paper, we consider three transformer models, BERT, RoBERTa, and XLNet, in bo…
Pick-Object-Attack: Type-Specific Adversarial Attack for Object Detection
Omid Mohamad Nezami, Akshay Chaturvedi, Mark Dras +1
Many recent studies have shown that deep neural models are vulnerable to adversarial samples: images with imperceptible perturbations, for example, can fool image classifiers. In t…
Exploring the Robustness of NMT Systems to Nonsensical Inputs
Akshay Chaturvedi, Abijith KP, Utpal Garain
Neural machine translation (NMT) systems have been shown to give undesirable translation when a small change is made in the source sentence. In this paper, we study the behaviour o…
Mimic and Fool: A Task Agnostic Adversarial Attack
Akshay Chaturvedi, Utpal Garain
At present, adversarial attacks are designed in a task-specific fashion. However, for downstream computer vision tasks such as image captioning, image segmentation etc., the curren…
CapsDeMM: Capsule network for Detection of Munro's Microabscess in skin biopsy images
Anabik Pal, Akshay Chaturvedi, Utpal Garain +3
This paper presents an approach for automatic detection of Munro's Microabscess in stratum corneum (SC) of human skin biopsy in order to realize a machine assisted diagnosis of Pso…
Skin disease identification from dermoscopy images using deep convolutional neural network
Anabik Pal, Sounak Ray, Utpal Garain
In this paper, a deep neural network based ensemble method is experimented for automatic identification of skin disease from dermoscopic images. The developed algorithm is applied…
Automation of Feature Engineering for IoT Analytics
Snehasis Banerjee, Tanushyam Chattopadhyay, Arpan Pal +1
This paper presents an approach for automation of interpretable feature selection for Internet Of Things Analytics (IoTA) using machine learning (ML) techniques. Authors have condu…
Towards Wide Learning: Experiments in Healthcare
Snehasis Banerjee, Tanushyam Chattopadhyay, Swagata Biswas +4
In this paper, a Wide Learning architecture is proposed that attempts to automate the feature engineering portion of the machine learning (ML) pipeline. Feature engineering is wide…
Using Word Embeddings for Automatic Query Expansion
Dwaipayan Roy, Debjyoti Paul, Mandar Mitra +1
In this paper a framework for Automatic Query Expansion (AQE) is proposed using distributed neural language model word2vec. Using semantic and contextual relation in a distributed…
CRF-based Named Entity Recognition @ICON 2013
Arjun Das, Utpal Garain
This paper describes performance of CRF based systems for Named Entity Recognition (NER) in Indian language as a part of ICON 2013 shared task. In this task we have considered a se…
Machine Assisted Authentication of Paper Currency: an Experiment on Indian Banknotes
Ankush Roy, Biswajit Halder, Utpal Garain +1
Automatic authentication of paper money has been targeted. Indian bank notes are taken as reference to show how a system can be developed for discriminating fake notes from genuine…