Arpit Garg

According to our database, Arpit Garg authored at least 12 papers between 2019 and 2026.

Collaborative distances:

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

2026

PASS: Peer-agreement based sample selection for training with instance dependent noisy labels.

Arpit Garg, Cuong Nguyen, Rafael Felix, Thanh-Toan Do, Gustavo Carneiro

Image Vis. Comput., 2026

2025

SineProject: Machine Unlearning for Stable Vision Language Alignment.

Arpit Garg, Hemanth Saratchandran, Simon Lucey

CoRR, November, 2025

Stable Forgetting: Bounded Parameter-Efficient Unlearning in LLMs.

Arpit Garg, Hemanth Saratchandran, Ravi Garg, Simon Lucey

CoRR, September, 2025

AEON: Adaptive Estimation of Instance-Dependent In-Distribution and Out-of-Distribution Label Noise for Robust Learning.

Arpit Garg, Cuong Nguyen, Rafael Felix, Yuyuan Liu, Thanh-Toan Do, Gustavo Carneiro

CoRR, January, 2025

2024

Instance-Dependent Noisy-Label Learning with Graphical Model Based Noise-Rate Estimation.

Arpit Garg, Cuong Nguyen, Rafael Felix, Thanh-Toan Do, Gustavo Carneiro

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Noisy-label Learning with Sample Selection based on Noise Rate Estimate.

Arpit Garg, Cuong Nguyen, Rafael Felix, Thanh-Toan Do, Gustavo Carneiro

CoRR, 2023

PASS: Peer-Agreement based Sample Selection for training with Noisy Labels.

Arpit Garg, Cuong Nguyen, Rafael Felix, Thanh-Toan Do, Gustavo Carneiro

CoRR, 2023

Instance-Dependent Noisy Label Learning via Graphical Modelling.

Arpit Garg, Cuong Nguyen, Rafael Felix, Thanh-Toan Do, Gustavo Carneiro

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

2021

PeR-ViS: Person Retrieval in Video Surveillance using Semantic Description.

Parshwa Shah, Arpit Garg, Vandit Gajjar

Proceedings of the IEEE Winter Conference on Applications of Computer Vision Workshops, 2021

2020

Defensive Escort Teams for Navigation in Crowds via Multi-Agent Deep Reinforcement Learning.

Yazied A. Hasan, Arpit Garg, Satomi Sugaya, Lydia Tapia

IEEE Robotics Autom. Lett., 2020

2019

Defensive Escort Teams via Multi-Agent Deep Reinforcement Learning.

Arpit Garg, Yazied A. Hasan, Adam Yañez, Lydia Tapia

CoRR, 2019

Comparison of Deep Reinforcement Learning Policies to Formal Methods for Moving Obstacle Avoidance.

Arpit Garg, Hao-Tien Lewis Chiang, Satomi Sugaya, Aleksandra Faust, Lydia Tapia

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019