Samyak Parajuli

About Samyak Parajuli

Samyak Parajuli, With an exceptional h-index of 6 and a recent h-index of 6 (since 2020), a distinguished researcher at University of California, Berkeley, specializes in the field of Computer Vision, Reinforcement Learning, Self-Supervised Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Let's Go Shopping (LGS)--Web-Scale Image-Text Dataset for Visual Concept Understanding

Dynamic adaptation of deep neural networks

Learning Generalizable Multi-Lane Mixed-Autonomy Behaviors in Single Lane Representations of Traffic

Explore and control with adversarial surprise

The many faces of robustness: A critical analysis of out-of-distribution generalization

Dynamically throttleable neural networks (TNN)

A Critical Analysis of Distribution Shift

Samyak Parajuli Information

University

Position

___

Citations(all)

1179

Citations(since 2020)

1179

Cited By

47

hIndex(all)

6

hIndex(since 2020)

6

i10Index(all)

3

i10Index(since 2020)

3

Email

University Profile Page

Google Scholar

Samyak Parajuli Skills & Research Interests

Computer Vision

Reinforcement Learning

Self-Supervised Learning

Top articles of Samyak Parajuli

Let's Go Shopping (LGS)--Web-Scale Image-Text Dataset for Visual Concept Understanding

arXiv preprint arXiv:2401.04575

2024/1/9

Dynamic adaptation of deep neural networks

2022/8/30

Learning Generalizable Multi-Lane Mixed-Autonomy Behaviors in Single Lane Representations of Traffic

arXiv preprint arXiv:2112.04688

2021/12/9

Explore and control with adversarial surprise

arXiv preprint arXiv:2107.07394

2021/7/12

Dynamically throttleable neural networks (TNN)

arXiv preprint arXiv:2011.02836

2020/11/1

See List of Professors in Samyak Parajuli University(University of California, Berkeley)