Search Results for author: Anish Lakkapragada

Found 4 papers, 1 papers with code

Comprehensive OOD Detection Improvements

no code implementations18 Jan 2024 Anish Lakkapragada, Amol Khanna, Edward Raff, Nathan Inkawhich

As machine learning becomes increasingly prevalent in impactful decisions, recognizing when inference data is outside the model's expected input distribution is paramount for giving context to predictions.

Dimensionality Reduction Out of Distribution (OOD) Detection

A Novel Explanation Against Linear Neural Networks

no code implementations30 Dec 2023 Anish Lakkapragada

However, a novel explanation we propose in this paper for the impracticality of neural networks without activation functions, or linear neural networks, is that they actually reduce both training and testing performance.


Mitigating Negative Transfer in Multi-Task Learning with Exponential Moving Average Loss Weighting Strategies

no code implementations22 Nov 2022 Anish Lakkapragada, Essam Sleiman, Saimourya Surabhi, Dennis P. Wall

Multi-Task Learning (MTL) is a growing subject of interest in deep learning, due to its ability to train models more efficiently on multiple tasks compared to using a group of conventional single-task models.

Multi-Task Learning

Classification of Abnormal Hand Movement for Aiding in Autism Detection: Machine Learning Study

1 code implementation18 Aug 2021 Anish Lakkapragada, Aaron Kline, Onur Cezmi Mutlu, Kelley Paskov, Brianna Chrisman, Nate Stockham, Peter Washington, Dennis Wall

This work aims to demonstrate the feasibility of deep learning technologies for detecting hand flapping from unstructured home videos as a first step towards validating whether models and digital technologies can be leveraged to aid with autism diagnoses.

Action Detection Activity Detection +2

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