Search Results for author: Sabyasachi Ghosh

Found 5 papers, 3 papers with code

Learning from Rules Generalizing Labeled Exemplars

2 code implementations ICLR 2020 Abhijeet Awasthi, Sabyasachi Ghosh, Rasna Goyal, Sunita Sarawagi

Empirical evaluation on five different tasks shows that (1) our algorithm is more accurate than several existing methods of learning from a mix of clean and noisy supervision, and (2) the coupled rule-exemplar supervision is effective in denoising rules.

Denoising

A Compressed Sensing Approach to Pooled RT-PCR Testing for COVID-19 Detection

1 code implementation16 May 2020 Sabyasachi Ghosh, Rishi Agarwal, Mohammad Ali Rehan, Shreya Pathak, Pratyush Agrawal, Yash Gupta, Sarthak Consul, Nimay Gupta, Ritika, Ritesh Goenka, Ajit Rajwade, Manoj Gopalkrishnan

Tapestry combines ideas from compressed sensing and combinatorial group testing with a novel noise model for RT-PCR used for generation of synthetic data.

Efficient Neural Network based Classification and Outlier Detection for Image Moderation using Compressed Sensing and Group Testing

no code implementations12 May 2023 Sabyasachi Ghosh, Sanyam Saxena, Ajit Rajwade

The computational cost of running the QMPNN and the CS algorithms is significantly lower than the cost of using a neural network with the same number of parameters separately on each image to classify the images, which we demonstrate via extensive experiments.

Efficient Neural Network Outlier Detection

Compressive Recovery of Signals Defined on Perturbed Graphs

no code implementations12 Feb 2024 Sabyasachi Ghosh, Ajit Rajwade

This impedes recovery of signals which may have sparse representations in the GFT bases of the ground truth graph.

Image Reconstruction Model Selection

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