Dipankar Das

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Assistant Professor, Department of Computer Science & Engineering at Jadavpur University

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

Graph Neural Networks (GNNs) use a fully-connected layer to extract feat...
03/19/2021 ∙ by Jacob R. Stevens, et al. ∙ 0 ∙ share

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Extending Sparse Tensor Accelerators to Support Multiple Compression Formats

Sparsity, which occurs in both scientific applications and Deep Learning...
03/18/2021 ∙ by Eric Qin, et al. ∙ 0 ∙ share

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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...
10/20/2020 ∙ by Sainik Kumar Mahata, et al. ∙ 0 ∙ share

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

Code-mixed texts are widespread nowadays due to the advent of social med...
07/29/2020 ∙ by Tathagata Raha, et al. ∙ 0 ∙ share

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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...
07/28/2020 ∙ by Sainik Kumar Mahata, et al. ∙ 0 ∙ share

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

Code-mixing is a phenomenon which arises mainly in multilingual societie...
07/24/2020 ∙ by Avishek Garain, et al. ∙ 0 ∙ share

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Code-Mixed to Monolingual Translation Framework

The use of multilingualism in the new generation is widespread in the fo...
11/09/2019 ∙ by Sainik Kumar Mahata, et al. ∙ 0 ∙ share

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K-TanH: Hardware Efficient Activations For Deep Learning

We propose K-TanH, a novel, highly accurate, hardware efficient approxim...
09/17/2019 ∙ by Abhisek Kundu, et al. ∙ 0 ∙ share

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High Performance Scalable FPGA Accelerator for Deep Neural Networks

Low-precision is the first order knob for achieving higher Artificial In...
08/29/2019 ∙ by Sudarshan Srinivasan, et al. ∙ 0 ∙ share

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Modeling Engagement Dynamics of Online Discussions using Relativistic Gravitational Theory

Online discussions are valuable resources to study user behaviour on a d...
08/10/2019 ∙ by Subhabrata Dutta, et al. ∙ 0 ∙ share

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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...
08/01/2019 ∙ by Sainik Kumar Mahata, et al. ∙ 0 ∙ share

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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...
08/01/2019 ∙ by Sainik Kumar Mahata, et al. ∙ 0 ∙ share

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Mixed Precision Training With 8-bit Floating Point

Reduced precision computation for deep neural networks is one of the key...
05/29/2019 ∙ by Naveen Mellempudi, et al. ∙ 0 ∙ share

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A Study of BFLOAT16 for Deep Learning Training

This paper presents the first comprehensive empirical study demonstratin...
05/29/2019 ∙ by Dhiraj Kalamkar, et al. ∙ 0 ∙ share

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

In the present article, we identified the qualitative differences betwee...
12/12/2018 ∙ by Sainik Kumar Mahata, et al. ∙ 0 ∙ share

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

As deep learning methods form a critical part in commercially important ...
09/04/2018 ∙ by Apoorv Vyas, et al. ∙ 0 ∙ share

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

We propose a novel attention based hierarchical LSTM model to classify d...
08/07/2018 ∙ by Subhabrata Dutta, et al. ∙ 0 ∙ share

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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 ...
03/18/2018 ∙ by Braja Gopal Patra, et al. ∙ 0 ∙ share

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

Analysis of informative contents and sentiments of social users has been...
03/11/2018 ∙ by Soumil Mandal, et al. ∙ 0 ∙ share

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

Language identification of social media text still remains a challenging...
03/10/2018 ∙ by Soumil Mandal, et al. ∙ 0 ∙ share

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Mixed Precision Training of Convolutional Neural Networks using Integer Operations

The state-of-the-art (SOTA) for mixed precision training is dominated by...
02/03/2018 ∙ by Dipankar Das, et al. ∙ 0 ∙ share

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On Scale-out Deep Learning Training for Cloud and HPC

The exponential growth in use of large deep neural networks has accelera...
01/24/2018 ∙ by Srinivas Sridharan, et al. ∙ 0 ∙ share

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

Multilingual speakers often switch between languages to express themselv...
01/08/2018 ∙ by Soumil Mandal, et al. ∙ 0 ∙ share

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RAIL: Risk-Averse Imitation Learning

Imitation learning algorithms learn viable policies by imitating an expe...
07/20/2017 ∙ by Anirban Santara, et al. ∙ 0 ∙ share

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Ternary Residual Networks

Sub-8-bit representation of DNNs incur some discernible loss of accuracy...
07/15/2017 ∙ by Abhisek Kundu, et al. ∙ 0 ∙ share

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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...
07/05/2017 ∙ by Souvick Ghosh, et al. ∙ 0 ∙ share

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Sentiment Identification in Code-Mixed Social Media Text

Sentiment analysis is the Natural Language Processing (NLP) task dealing...
07/04/2017 ∙ by Souvick Ghosh, et al. ∙ 0 ∙ share

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Complexity Metric for Code-Mixed Social Media Text

An evaluation metric is an absolute necessity for measuring the performa...
07/04/2017 ∙ by Souvick Ghosh, et al. ∙ 0 ∙ share

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Ternary Neural Networks with Fine-Grained Quantization

We propose a novel fine-grained quantization (FGQ) method to ternarize p...
05/02/2017 ∙ by Naveen Mellempudi, et al. ∙ 0 ∙ share

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Mixed Low-precision Deep Learning Inference using Dynamic Fixed Point

We propose a cluster-based quantization method to convert pre-trained fu...
01/31/2017 ∙ by Naveen Mellempudi, et al. ∙ 0 ∙ share

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Authorship Verification - An Approach based on Random Forest

Authorship attribution, being an important problem in many areas in-clud...
07/29/2016 ∙ by Promita Maitra, et al. ∙ 0 ∙ share

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Labeling of Query Words using Conditional Random Field

This paper describes our approach on Query Word Labeling as an attempt i...
07/29/2016 ∙ by Satanu Ghosh, et al. ∙ 0 ∙ share

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Dipankar Das

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