Piyush Rai

About Piyush Rai

Piyush Rai, With an exceptional h-index of 34 and a recent h-index of 28 (since 2020), a distinguished researcher at Indian Institute of Technology Kanpur, specializes in the field of machine learning, probabilistic machine learning, artificial intelligence.

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

Verse: Virtual-gradient aware streaming lifelong learning with anytime inference

A Probabilistic Framework for Lifelong Test-Time Adaptation

FEATHER: Lifelong Test-Time Adaptation with Lightweight Adapters

Gradient Perturbation-based Efficient Deep Ensembles

Predicting PM2. 5 based on micro-satellite imagery and low-cost sensor network using CNN-RT-RF Joint Model

Federated Learning with Uncertainty via Distilled Predictive Distributions

Text-based Fine-Grained Emotion Prediction

Novel class discovery without forgetting

Piyush Rai Information

University

Position

___

Citations(all)

5829

Citations(since 2020)

4230

Cited By

3165

hIndex(all)

34

hIndex(since 2020)

28

i10Index(all)

71

i10Index(since 2020)

57

Email

University Profile Page

Indian Institute of Technology Kanpur

Google Scholar

View Google Scholar Profile

Piyush Rai Skills & Research Interests

machine learning

probabilistic machine learning

artificial intelligence

Top articles of Piyush Rai

Title

Journal

Author(s)

Publication Date

Verse: Virtual-gradient aware streaming lifelong learning with anytime inference

To appear in ICRA 2024

Soumya Banerjee

Vinay K Verma

Avideep Mukherjee

Deepak Gupta

Vinay P Namboodiri

...

2023/9/15

A Probabilistic Framework for Lifelong Test-Time Adaptation

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023, pp. 3582-3591

Dhanajit Brahma

Piyush Rai

2023

FEATHER: Lifelong Test-Time Adaptation with Lightweight Adapters

Dhanajit Brahma

Abhinav Joshi

Ashutosh Modi

Piyush Rai

2023/10/13

Gradient Perturbation-based Efficient Deep Ensembles

Amit Chandak

Purushottam Kar

Piyush Rai

2023

Predicting PM2. 5 based on micro-satellite imagery and low-cost sensor network using CNN-RT-RF Joint Model

EGU General Assembly Conference Abstracts

Sachchida Tripathi

Vaishali Jain

Avideep Mukherjee

Soumya Banerjee

Piyush Rai

...

2023/5

Federated Learning with Uncertainty via Distilled Predictive Distributions

Proceedings of Machine Learning Research

Shrey Bhatt

Aishwarya Gupta

Piyush Rai

2023

Text-based Fine-Grained Emotion Prediction

IEEE Transactions on Affective Computing

Gargi Singh

Dhanajit Brahma

Piyush Rai

Ashutosh Modi

2023/7/24

Novel class discovery without forgetting

KJ Joseph

Sujoy Paul

Gaurav Aggarwal

Soma Biswas

Piyush Rai

...

2022/10/23

Semi-supervised super-resolution

arXiv preprint arXiv:2204.08192

Ankur Singh

Piyush Rai

2022/4/18

Spacing loss for discovering novel categories

KJ Joseph

Sujoy Paul

Gaurav Aggarwal

Soma Biswas

Piyush Rai

...

2022

DiffuseVAE: Efficient, controllable and high-fidelity generation from low-dimensional latents

arXiv preprint arXiv:2201.00308

Kushagra Pandey

Avideep Mukherjee

Piyush Rai

Abhishek Kumar

2022/1/2

Rectification-based knowledge retention for task incremental learning

IEEE Transactions on Pattern Analysis and Machine Intelligence

Pratik Mazumder

Pravendra Singh

Piyush Rai

Vinay P Namboodiri

2022/11/30

Few-shot lifelong learning

Proceedings of the AAAI Conference on Artificial Intelligence

Pratik Mazumder

Pravendra Singh

Piyush Rai

2021/5/18

NeurInt: Learning to Interpolate through Neural ODEs

arXiv preprint arXiv:2111.04123

Avinandan Bose

Aniket Das

Yatin Dandi

Piyush Rai

2021/11/7

Generalized adversarially learned inference

Proceedings of the AAAI Conference on Artificial Intelligence

Yatin Dandi

Homanga Bharadhwaj

Abhishek Kumar

Piyush Rai

2021/5/18

Hypernetworks for continual semi-supervised learning

Dhanajit Brahma

Vinay Kumar Verma

Piyush Rai

2021/10/5

Variational Rejection Particle Filtering

arXiv preprint arXiv:2103.15343

Rahul Sharma

Soumya Banerjee

Dootika Vats

Piyush Rai

2021/3/29

Fine-grained emotion prediction by modeling emotion definitions

Gargi Singh

Dhanajit Brahma

Piyush Rai

Ashutosh Modi

2021/9/1

Rectification-based knowledge retention for continual learning

Pravendra Singh*

Pratik Mazumder*

Piyush Rai

Vinay P Namboodiri

2021/3/30

Bayesian structural adaptation for continual learning

Abhishek Kumar

Sunabha Chatterjee

Piyush Rai

2021

See List of Professors in Piyush Rai University(Indian Institute of Technology Kanpur)

Co-Authors

H-index: 71
Hal Daumé III

Hal Daumé III

University of Maryland, Baltimore

H-index: 32
Anurag Mittal

Anurag Mittal

Indian Institute of Technology Madras

H-index: 29
Vinay P. Namboodiri

Vinay P. Namboodiri

Indian Institute of Technology Kanpur

H-index: 18
Pravendra Singh

Pravendra Singh

Indian Institute of Technology Roorkee

H-index: 17
Vinay Kumar Verma

Vinay Kumar Verma

Duke University

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