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07/16/2023
A Model of Competitive Assortment Planning Algorithm
With a novel search algorithm or assortment planning or assortment optim...
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10/03/2022
Measurement of Trustworthiness of the Online Reviews
In electronic commerce (e-commerce)markets, a decision-maker faces a seq...
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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...
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10/30/2021
AdvCodeMix: Adversarial Attack on Code-Mixed Data
Research on adversarial attacks are becoming widely popular in the recen...
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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...
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03/18/2021
Extending Sparse Tensor Accelerators to Support Multiple Compression Formats
Sparsity, which occurs in both scientific applications and Deep Learning...
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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...
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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...
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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...
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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...
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11/09/2019
Code-Mixed to Monolingual Translation Framework
The use of multilingualism in the new generation is widespread in the fo...
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09/17/2019
K-TanH: Hardware Efficient Activations For Deep Learning
We propose K-TanH, a novel, highly accurate, hardware efficient approxim...
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08/29/2019
High Performance Scalable FPGA Accelerator for Deep Neural Networks
Low-precision is the first order knob for achieving higher Artificial In...
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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...
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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...
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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...
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05/29/2019
Mixed Precision Training With 8-bit Floating Point
Reduced precision computation for deep neural networks is one of the key...
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05/29/2019
A Study of BFLOAT16 for Deep Learning Training
This paper presents the first comprehensive empirical study demonstratin...
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12/12/2018
SMT vs NMT: A Comparison over Hindi & Bengali Simple Sentences
In the present article, we identified the qualitative differences betwee...
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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 ...
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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...
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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 ...
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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...
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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...
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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...
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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...
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01/08/2018
Analyzing Roles of Classifiers and Code-Mixed factors for Sentiment Identification
Multilingual speakers often switch between languages to express themselv...
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07/20/2017
RAIL: Risk-Averse Imitation Learning
Imitation learning algorithms learn viable policies by imitating an expe...
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07/15/2017
Ternary Residual Networks
Sub-8-bit representation of DNNs incur some discernible loss of accuracy...
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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...
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07/04/2017
Sentiment Identification in Code-Mixed Social Media Text
Sentiment analysis is the Natural Language Processing (NLP) task dealing...
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07/04/2017
Complexity Metric for Code-Mixed Social Media Text
An evaluation metric is an absolute necessity for measuring the performa...
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05/02/2017
Ternary Neural Networks with Fine-Grained Quantization
We propose a novel fine-grained quantization (FGQ) method to ternarize p...
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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...
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07/29/2016
Authorship Verification - An Approach based on Random Forest
Authorship attribution, being an important problem in many areas in-clud...
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07/29/2016
