Search Results for author: Sahaj Garg

Found 6 papers, 4 papers with code

Szloca: towards a framework for full 3D tracking through a single camera in context of interactive arts

no code implementations26 Jun 2022 Sahaj Garg

Realtime virtual data of objects and human presence in a large area holds a valuable key in enabling many experiences and applications in various industries and with exponential rise in the technological development of artificial intelligence, computer vision has expanded the possibilities of tracking and classifying things through just video inputs, which is also surpassing the limitations of most popular and common hardware setups known traditionally to detect human pose and position, such as low field of view and limited tracking capacity.

Anytime Sampling for Autoregressive Models via Ordered Autoencoding

1 code implementation ICLR 2021 Yilun Xu, Yang song, Sahaj Garg, Linyuan Gong, Rui Shu, Aditya Grover, Stefano Ermon

Experimentally, we demonstrate in several image and audio generation tasks that sample quality degrades gracefully as we reduce the computational budget for sampling.

Audio Generation

Dynamic Precision Analog Computing for Neural Networks

1 code implementation12 Feb 2021 Sahaj Garg, Joe Lou, Anirudh Jain, Mitchell Nahmias

We propose extending analog computing architectures to support varying levels of precision by repeating operations and averaging the result, decreasing the impact of noise.

Confounding Tradeoffs for Neural Network Quantization

1 code implementation12 Feb 2021 Sahaj Garg, Anirudh Jain, Joe Lou, Mitchell Nahmias

Many neural network quantization techniques have been developed to decrease the computational and memory footprint of deep learning.


Sliced Score Matching: A Scalable Approach to Density and Score Estimation

6 code implementations17 May 2019 Yang Song, Sahaj Garg, Jiaxin Shi, Stefano Ermon

However, it has been so far limited to simple, shallow models or low-dimensional data, due to the difficulty of computing the Hessian of log-density functions.

Variational Inference

Counterfactual Fairness in Text Classification through Robustness

no code implementations27 Sep 2018 Sahaj Garg, Vincent Perot, Nicole Limtiaco, Ankur Taly, Ed H. Chi, Alex Beutel

In this paper, we study counterfactual fairness in text classification, which asks the question: How would the prediction change if the sensitive attribute referenced in the example were different?

Fairness General Classification +2

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