b'Dipankar Das'

research

∙ 10/03/2022

Measurement of Trustworthiness of the Online Reviews

In electronic commerce (e-commerce)markets, a decision-maker faces a seq...

Dipankar Das, et al. ∙

research

∙ 06/16/2022

JU_NLP at HinglishEval: Quality Evaluation of the Low-Resource Code-Mixed Hinglish Text

In this paper we describe a system submitted to the INLG 2022 Generation...

Prantik Guha, et al. ∙

research

∙ 10/30/2021

AdvCodeMix: Adversarial Attack on Code-Mixed Data

Research on adversarial attacks are becoming widely popular in the recen...

Sourya Dipta Das, et al. ∙

research

∙ 03/19/2021

GNNerator: A Hardware/Software Framework for Accelerating Graph Neural Networks

Graph Neural Networks (GNNs) use a fully-connected layer to extract feat...

Jacob R. Stevens, et al. ∙

research

∙ 03/18/2021

Extending Sparse Tensor Accelerators to Support Multiple Compression Formats

Sparsity, which occurs in both scientific applications and Deep Learning...

Eric Qin, et al. ∙

research

∙ 10/20/2020

JUNLP@Dravidian-CodeMix-FIRE2020: Sentiment Classification of Code-Mixed Tweets using Bi-Directional RNN and Language Tags

Sentiment analysis has been an active area of research in the past two d...

Sainik Kumar Mahata, et al. ∙

research

∙ 07/29/2020

Development of POS tagger for English-Bengali Code-Mixed data

Code-mixed texts are widespread nowadays due to the advent of social med...

Tathagata Raha, et al. ∙

research

∙ 07/28/2020

Preparation of Sentiment tagged Parallel Corpus and Testing its effect on Machine Translation

In the current work, we explore the enrichment in the machine translatio...

Sainik Kumar Mahata, et al. ∙

research

∙ 07/24/2020

JUNLP@SemEval-2020 Task 9:Sentiment Analysis of Hindi-English code mixed data

Code-mixing is a phenomenon which arises mainly in multilingual societie...

Avishek Garain, et al. ∙

research

∙ 11/09/2019

Code-Mixed to Monolingual Translation Framework

The use of multilingualism in the new generation is widespread in the fo...

Sainik Kumar Mahata, et al. ∙

research

∙ 09/17/2019

K-TanH: Hardware Efficient Activations For Deep Learning

We propose K-TanH, a novel, highly accurate, hardware efficient approxim...

Abhisek Kundu, et al. ∙

research

∙ 08/29/2019

High Performance Scalable FPGA Accelerator for Deep Neural Networks

Low-precision is the first order knob for achieving higher Artificial In...

Sudarshan Srinivasan, et al. ∙

research

∙ 08/10/2019

Modeling Engagement Dynamics of Online Discussions using Relativistic Gravitational Theory

Online discussions are valuable resources to study user behaviour on a d...

Subhabrata Dutta, et al. ∙

research

∙ 08/01/2019

JUMT at WMT2019 News Translation Task: A Hybrid approach to Machine Translation for Lithuanian to English

In the current work, we present a description of the system submitted to...

Sainik Kumar Mahata, et al. ∙

research

∙ 08/01/2019

JUCBNMT at WMT2018 News Translation Task: Character Based Neural Machine Translation of Finnish to English

In the current work, we present a description of the system submitted to...

Sainik Kumar Mahata, et al. ∙

research

∙ 05/29/2019

Mixed Precision Training With 8-bit Floating Point

Reduced precision computation for deep neural networks is one of the key...

Naveen Mellempudi, et al. ∙

research

∙ 05/29/2019

A Study of BFLOAT16 for Deep Learning Training

This paper presents the first comprehensive empirical study demonstratin...

Dhiraj Kalamkar, et al. ∙

research

∙ 12/12/2018

SMT vs NMT: A Comparison over Hindi & Bengali Simple Sentences

In the present article, we identified the qualitative differences betwee...

Sainik Kumar Mahata, et al. ∙

research

∙ 09/04/2018

Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-out Classifiers

As deep learning methods form a critical part in commercially important ...

Apoorv Vyas, et al. ∙

research

∙ 08/07/2018

How did the discussion go: Discourse act classification in social media conversations

We propose a novel attention based hierarchical LSTM model to classify d...

Subhabrata Dutta, et al. ∙

research

∙ 03/18/2018

Sentiment Analysis of Code-Mixed Indian Languages: An Overview of SAIL_Code-Mixed Shared Task @ICON-2017

Sentiment analysis is essential in many real-world applications such as ...

Braja Gopal Patra, et al. ∙

research

∙ 03/11/2018

Preparing Bengali-English Code-Mixed Corpus for Sentiment Analysis of Indian Languages

Analysis of informative contents and sentiments of social users has been...

Soumil Mandal, et al. ∙

research

∙ 03/10/2018

Language Identification of Bengali-English Code-Mixed data using Character & Phonetic based LSTM Models

Language identification of social media text still remains a challenging...

Soumil Mandal, et al. ∙

research

∙ 02/03/2018

Mixed Precision Training of Convolutional Neural Networks using Integer Operations

The state-of-the-art (SOTA) for mixed precision training is dominated by...

Dipankar Das, et al. ∙

research

∙ 01/24/2018

On Scale-out Deep Learning Training for Cloud and HPC

The exponential growth in use of large deep neural networks has accelera...

Srinivas Sridharan, et al. ∙

research

∙ 01/08/2018

Analyzing Roles of Classifiers and Code-Mixed factors for Sentiment Identification

Multilingual speakers often switch between languages to express themselv...

Soumil Mandal, et al. ∙

research

∙ 07/20/2017

RAIL: Risk-Averse Imitation Learning

Imitation learning algorithms learn viable policies by imitating an expe...

Anirban Santara, et al. ∙

research

∙ 07/15/2017

Ternary Residual Networks

Sub-8-bit representation of DNNs incur some discernible loss of accuracy...

Abhisek Kundu, et al. ∙

research

∙ 07/05/2017

Determining sentiment in citation text and analyzing its impact on the proposed ranking index

Whenever human beings interact with each other, they exchange or express...

Souvick Ghosh, et al. ∙

research

∙ 07/04/2017

Sentiment Identification in Code-Mixed Social Media Text

Sentiment analysis is the Natural Language Processing (NLP) task dealing...

Souvick Ghosh, et al. ∙

research

∙ 07/04/2017

Complexity Metric for Code-Mixed Social Media Text

An evaluation metric is an absolute necessity for measuring the performa...

Souvick Ghosh, et al. ∙

research

∙ 05/02/2017

Ternary Neural Networks with Fine-Grained Quantization

We propose a novel fine-grained quantization (FGQ) method to ternarize p...

Naveen Mellempudi, et al. ∙

research

∙ 01/31/2017

Mixed Low-precision Deep Learning Inference using Dynamic Fixed Point

We propose a cluster-based quantization method to convert pre-trained fu...

Naveen Mellempudi, et al. ∙

research

∙ 07/29/2016

Authorship Verification - An Approach based on Random Forest

Authorship attribution, being an important problem in many areas in-clud...

Promita Maitra, et al. ∙

research

∙ 07/29/2016

Labeling of Query Words using Conditional Random Field

This paper describes our approach on Query Word Labeling as an attempt i...

Satanu Ghosh, et al. ∙

Dipankar Das

Featured Co-authors