148 citations · 759 across the 35 of their papers we have counts for
7 papers · 1 filter
Determining sentiment in citation text and analyzing its impact on the proposed ranking index
Souvick Ghosh, Dipankar Das, Tanmoy Chakraborty
Whenever human beings interact with each other, they exchange or express opinions, emotions, and sentiments. These opinions can be expressed in text, speech or images. Analysis of…
Sentiment Identification in Code-Mixed Social Media Text
Souvick Ghosh, Satanu Ghosh, Dipankar Das
Sentiment analysis is the Natural Language Processing (NLP) task dealing with the detection and classification of sentiments in texts. While some tasks deal with identifying the pr…
Complexity Metric for Code-Mixed Social Media Text
Souvick Ghosh, Satanu Ghosh, Dipankar Das
An evaluation metric is an absolute necessity for measuring the performance of any system and complexity of any data. In this paper, we have discussed how to determine the level of…
RAIL: Risk-Averse Imitation Learning
Anirban Santara, Abhishek Naik, Balaraman Ravindran +4
Imitation learning algorithms learn viable policies by imitating an expert's behavior when reward signals are not available. Generative Adversarial Imitation Learning (GAIL) is a s…
Ternary Residual Networks
Abhisek Kundu, Kunal Banerjee, Naveen Mellempudi +4
Sub-8-bit representation of DNNs incur some discernible loss of accuracy despite rigorous (re)training at low-precision. Such loss of accuracy essentially makes them equivalent to…
Ternary Neural Networks with Fine-Grained Quantization
Naveen Mellempudi, Abhisek Kundu, Dheevatsa Mudigere +3
We propose a novel fine-grained quantization (FGQ) method to ternarize pre-trained full precision models, while also constraining activations to 8 and 4-bits. Using this method, we…