Pravendra Singh | DeepAI

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Featured Co-authors

Vinay P. Namboodiri
64 publications
Piyush Rai
44 publications
Vinay Kumar Verma
20 publications
Vinay P. Namboodiri
16 publications
Pratik Mazumder
11 publications
Divyansh Agarwal
9 publications
Indu Joshi
6 publications
Kranti Kumar Parida
6 publications
Neeraj Matiyali
4 publications
Nikhil Verma
4 publications
Mohammed Asad Karim
4 publications

∙ 07/10/2023

SPLAL: Similarity-based pseudo-labeling with alignment loss for semi-supervised medical image classification

Medical image classification is a challenging task due to the scarcity o...

0 Md Junaid Mahmood, et al. ∙

∙ 07/10/2023

Recent Advancements in End-to-End Autonomous Driving using Deep Learning: A Survey

End-to-End driving is a promising paradigm as it circumvents the drawbac...

0 Pranav Singh Chib, et al. ∙

∙ 10/19/2022

Attaining Class-level Forgetting in Pretrained Model using Few Samples

In order to address real-world problems, deep learning models are jointl...

4 Pravendra Singh, et al. ∙

∙ 12/23/2021

DILF-EN framework for Class-Incremental Learning

Deep learning models suffer from catastrophic forgetting of the classes ...

23 Mohammed Asad Karim, et al. ∙

∙ 06/30/2021

Fair Visual Recognition in Limited Data Regime using Self-Supervision and Self-Distillation

Deep learning models generally learn the biases present in the training ...

4 Pratik Mazumder, et al. ∙

∙ 06/12/2021

Knowledge Consolidation based Class Incremental Online Learning with Limited Data

We propose a novel approach for class incremental online learning in a l...

0 Mohammed Asad Karim, et al. ∙

∙ 03/30/2021

Rectification-based Knowledge Retention for Continual Learning

Deep learning models suffer from catastrophic forgetting when trained in...

22 Pravendra Singh, et al. ∙

∙ 03/01/2021

Few-Shot Lifelong Learning

Many real-world classification problems often have classes with very few...

5 Pratik Mazumder, et al. ∙

∙ 11/22/2020

RNNP: A Robust Few-Shot Learning Approach

Learning from a few examples is an important practical aspect of trainin...

11 Pratik Mazumder, et al. ∙

∙ 06/29/2020

Improving Few-Shot Learning using Composite Rotation based Auxiliary Task

In this paper, we propose an approach to improve few-shot classification...

0 Pratik Mazumder, et al. ∙

∙ 06/08/2020

Passive Batch Injection Training Technique: Boosting Network Performance by Injecting Mini-Batches from a different Data Distribution

This work presents a novel training technique for deep neural networks t...

0 Pravendra Singh, et al. ∙

∙ 05/27/2020

AVGZSLNet: Audio-Visual Generalized Zero-Shot Learning by Reconstructing Label Features from Multi-Modal Embeddings

In this paper, we solve for the problem of generalized zero-shot learnin...

0 Pratik Mazumder, et al. ∙

∙ 05/26/2020

Minimizing Supervision in Multi-label Categorization

Multiple categories of objects are present in most images. Treating this...

21 Rajat, et al. ∙

∙ 01/15/2020

A "Network Pruning Network" Approach to Deep Model Compression

We present a filter pruning approach for deep model compression, using a...

0 Vinay Kumar Verma, et al. ∙

∙ 01/05/2020

Cooperative Initialization based Deep Neural Network Training

Researchers have proposed various activation functions. These activation...

0 Pravendra Singh, et al. ∙

∙ 10/21/2019

CPWC: Contextual Point Wise Convolution for Object Recognition

Convolutional layers are a major driving force behind the successes of d...

0 Pratik Mazumder, et al. ∙

∙ 05/11/2019

Play and Prune: Adaptive Filter Pruning for Deep Model Compression

While convolutional neural networks (CNN) have achieved impressive perfo...

0 Pravendra Singh, et al. ∙

∙ 03/11/2019

Accuracy Booster: Performance Boosting using Feature Map Re-calibration

Convolution Neural Networks (CNN) have been extremely successful in solv...

0 Pravendra Singh, et al. ∙

∙ 03/11/2019

HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs

We present a novel deep learning architecture in which the convolution o...

0 Pravendra Singh, et al. ∙

∙ 11/26/2018

Leveraging Filter Correlations for Deep Model Compression

We present a filter correlation based model compression approach for dee...

0 Pravendra Singh, et al. ∙

∙ 11/20/2018

Multi-layer Pruning Framework for Compressing Single Shot MultiBox Detector

We propose a framework for compressing state-of-the-art Single Shot Mult...

0 Pravendra Singh, et al. ∙

∙ 11/20/2018

Stability Based Filter Pruning for Accelerating Deep CNNs

Convolutional neural networks (CNN) have achieved impressive performance...

0 Pravendra Singh, et al. ∙

∙ 03/28/2015

Implementing an intelligent version of the classical sliding-puzzle game for unix terminals using Golang's concurrency primitives

An intelligent version of the sliding-puzzle game is developed using the...

0 Pravendra Singh, et al. ∙

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