17 citations · 24 across the 4 of their papers we have counts for
6 papers
G2L: A Geometric Approach for Generating Pseudo-labels that Improve Transfer Learning
John R. Kender, Bishwaranjan Bhattacharjee, Parijat Dube +1
Transfer learning is a deep-learning technique that ameliorates the problem of learning when human-annotated labels are expensive and limited. In place of such labels, it uses inst…
P2L: Predicting Transfer Learning for Images and Semantic Relations
Bishwaranjan Bhattacharjee, John R. Kender, Matthew Hill +7
Transfer learning enhances learning across tasks, by leveraging previously learned representations -- if they are properly chosen. We describe an efficient method to accurately est…
Improving Transferability of Deep Neural Networks
Parijat Dube, Bishwaranjan Bhattacharjee, Elisabeth Petit-Bois +1
Learning from small amounts of labeled data is a challenge in the area of deep learning. This is currently addressed by Transfer Learning where one learns the small data set as a t…
IBM Deep Learning Service
Bishwaranjan Bhattacharjee, Scott Boag, Chandani Doshi +15
Deep learning driven by large neural network models is overtaking traditional machine learning methods for understanding unstructured and perceptual data domains such as speech, te…
L-Store: A Real-time OLTP and OLAP System
Mohammad Sadoghi, Souvik Bhattacherjee, Bishwaranjan Bhattacharjee +1
Arguably data is the new natural resource in the enterprise world with an unprecedented degree of proliferation. But to derive real-time actionable insights from the data, it is im…
Impliance: A Next Generation Information Management Appliance
Bishwaranjan Bhattacharjee, Vuk Ercegovac, Joseph Glider +9
ably successful in building a large market and adapting to the changes of the last three decades, its impact on the broader market of information management is surprisingly limited…