Search Results for author:
Found 7 papers, 1 papers with code
Exploring the Impact of Large Language Models on Recommender Systems: An Extensive Review
The paper underscores the significance of Large Language Models (LLMs) in reshaping recommender systems, attributing their value to unique reasoning abilities absent in traditional recommenders.
Recovering from Privacy-Preserving Masking with Large Language Models
To effectively perform adaptation, textual data of users is typically stored on servers or their local devices, where downstream natural language processing (NLP) models can be directly trained using such in-domain data.
Facial Expression Recognition using Squeeze and Excitation-powered Swin Transformers
The ability to recognize and interpret facial emotions is a critical component of human communication, as it allows individuals to understand and respond to emotions conveyed through facial expressions and vocal tones.
1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results
The 1$^{\text{st}}$ Workshop on Maritime Computer Vision (MaCVi) 2023 focused on maritime computer vision for Unmanned Aerial Vehicles (UAV) and Unmanned Surface Vehicle (USV), and organized several subchallenges in this domain: (i) UAV-based Maritime Object Detection, (ii) UAV-based Maritime Object Tracking, (iii) USV-based Maritime Obstacle Segmentation and (iv) USV-based Maritime Obstacle Detection.
Estimation of Warfarin Dosage with Reinforcement Learning
In this paper, it has attempted to use Reinforcement learning to model the proper dosage of Warfarin for patients. The paper first examines two baselines: a fixed model of 35 mg/week dosages and a linear model that relies on patient data.
COVID-19 Tests Gone Rogue: Privacy, Efficacy, Mismanagement and Misunderstandings
In this work, we discuss challenges complicating the existing covid-19 testing ecosystem and highlight the need to improve the testing experience for the user and reduce privacy invasions.
Computers and Society
Understanding the hand-gestures using Convolutional Neural Networks and Generative Adversial Networks
In this paper, it is introduced a hand gesture recognition system to recognize the characters in the real time.
