Vinu Sankar Sadasivan's repositories
Reliability-of-AI-text-detectors
Can AI-Generated Text be Reliably Detected?
Foreground-Extraction-towards-Object-Recognition
Foreground Extraction towards Object Recognition using superpixels, GIST descriptor, Visual vocabulary with bag of words representation
Panaroma-with-depth
Panaroma with depth, image stitching, warping and blending.
Sampling-and-sketching-methods-for-machine-learning
Introduction to data science course project
Face-recognition
Eigen faces for face recognition
Input-Sparsity-Time-Low-Rank-Approximation-via-Ridge-Leverage-Score-Sampling
Cohen, Michael B., Cameron Musco, and Christopher Musco. "Input sparsity time low-rank approximation via ridge leverage score sampling." Proceedings of the Twenty-Eighth Annual ACM-SIAM Symposium on Discrete Algorithms. Society for Industrial and Applied Mathematics, 2017.
NIC-Assignments
Assignment 3 and 4
Value-predicton
ISCA CVP entry
ai-detection-paraphrases
Official repository for our preprint "Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defense" (https://arxiv.org/abs/2303.13408).
approx-fpgas
Approximate arithmetic circuits for FPGAs
curriculum_learning
Code implementing the experiments described in the paper "Statistical Measures For Defining Curriculum Scoring Function" by Sadasivan & Dasgupta (SubsetML Workshop @ ICML 2021)
Fundamental-matrix
Fundamental matrix for geometric transformations.
jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
opacus
Training PyTorch models with differential privacy
OS-Lab-Assignments
OS course assignments and lab codes
vinusankars.github.io
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