Jhair Gallardo

According to our database, Jhair Gallardo authored at least 10 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Controlling Neural Collapse Enhances Out-of-Distribution Detection and Transfer Learning.

Md Yousuf Harun, Jhair Gallardo, Christopher Kanan

CoRR, February, 2025

2024

What Variables Affect Out-Of-Distribution Generalization in Pretrained Models?

Md Yousuf Harun, Kyungbok Lee, Jhair Gallardo, Giri Krishnan, Christopher Kanan

CoRR, 2024

Human Emotion Estimation through Physiological Data with Neural Networks.

Jhair Gallardo, Celal Savur, Ferat Sahin, Christopher Kanan

Proceedings of the 19th Annual System of Systems Engineering Conference, 2024

GRASP: A Rehearsal Policy for Efficient Online Continual Learning.

Md Yousuf Harun, Jhair Gallardo, Junyu Chen, Christopher Kanan

Proceedings of the Conference on Lifelong Learning Agents, 2024

2023

SIESTA: Efficient Online Continual Learning with Sleep.

Md Yousuf Harun, Jhair Gallardo, Tyler L. Hayes, Ronald Kemker, Christopher Kanan

Trans. Mach. Learn. Res., 2023

GRASP: A Rehearsal Policy for Efficient Online Continual Learning.

Md Yousuf Harun, Jhair Gallardo, Christopher Kanan

CoRR, 2023

How Efficient Are Today's Continual Learning Algorithms?

Md Yousuf Harun, Jhair Gallardo, Tyler L. Hayes, Christopher Kanan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2.

Zachary Alan Daniels, Aswin Raghavan, Jesse Hostetler, Abrar Rahman, Indranil Sur, Michael R. Piacentino, Ajay Divakaran, Roberto Corizzo, Kamil Faber, Nathalie Japkowicz, Michael Baron, James Seale Smith, Sahana Pramod Joshi, Zsolt Kira, Cameron Ethan Taylor, Mustafa Burak Gurbuz, Constantine Dovrolis, Tyler L. Hayes, Christopher Kanan, Jhair Gallardo

Proceedings of the Conference on Lifelong Learning Agents, 2022

2021

Self-Supervised Training Enhances Online Continual Learning.

Jhair Gallardo, Tyler L. Hayes, Christopher Kanan

CoRR, 2021

2017

Detection of Diabetic Retinopathy Based on a Convolutional Neural Network Using Retinal Fundus Images.

Gabriel García, Jhair Gallardo, Antoni Mauricio, Jorge López, Christian Del Carpio

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017