Search Results for author: Sourav Saha

Found 6 papers, 1 papers with code

ir_explain: a Python Library of Explainable IR Methods

no code implementations29 Apr 2024 Sourav Saha, Harsh Agarwal, Swastik Mohanty, Mandar Mitra, Debapriyo Majumdar

The library is designed to make it easy to reproduce state-of-the-art ExIR baselines on standard test collections, as well as to explore new approaches to explaining IR models and methods.

Information Retrieval Retrieval

Engineering software 2.0 by interpolating neural networks: unifying training, solving, and calibration

no code implementations16 Apr 2024 Chanwook Park, Sourav Saha, Jiachen Guo, Xiaoyu Xie, Satyajit Mojumder, Miguel A. Bessa, Dong Qian, Wei Chen, Gregory J. Wagner, Jian Cao, Wing Kam Liu

The evolution of artificial intelligence (AI) and neural network theories has revolutionized the way software is programmed, shifting from a hard-coded series of codes to a vast neural network.

Tensor Decomposition

A Comparative Analysis of CNN-Based Pretrained Models for the Detection and Prediction of Monkeypox

no code implementations20 Jan 2023 Sourav Saha, Trina Chakraborty, Rejwan Bin Sulaiman, Tithi Paul

As a result, there is an urgent need for a novel technique to combat and anticipate the disease in the early phases of individual virus infection.

Explainability of Text Processing and Retrieval Methods: A Critical Survey

no code implementations14 Dec 2022 Sourav Saha, Debapriyo Majumdar, Mandar Mitra

This article provides a broad overview of research on the explainability and interpretability of natural language processing and information retrieval methods.

Document Ranking Information Retrieval +2

An Introduction to Kernel and Operator Learning Methods for Homogenization by Self-consistent Clustering Analysis

no code implementations1 Dec 2022 Owen Huang, Sourav Saha, Jiachen Guo, Wing Kam Liu

However, for large-scale engineering problems such as concurrent multiscale simulation for mechanical properties, the training cost for the current operator learning methods is very high.

Learning Theory Operator learning

Bangla Image Caption Generation through CNN-Transformer based Encoder-Decoder Network

1 code implementation24 Oct 2021 Md Aminul Haque Palash, MD Abdullah Al Nasim, Sourav Saha, Faria Afrin, Raisa Mallik, Sathishkumar Samiappan

Automatic Image Captioning is the never-ending effort of creating syntactically and validating the accuracy of textual descriptions of an image in natural language with context.

Caption Generation Decoder +1

Cannot find the paper you are looking for? You can Submit a new open access paper.