Author: Nitish Kumar

Nitish Kumar
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Nitish is a computer science undergraduate with keen interest in the field of deep learning. He has done various projects related to deep learning and closely follows the new advancements taking place in the field.

Researchers Propose a Novel Framework ‘FaceMAE’, Where the Face Privacy and Recognition Performance are Considered Simultaneously

This Article is written as a summay by Marktechpost Staff based on the Research Paper 'FaceMAE: Privacy-Preserving Face Recognition via Masked Autoencoders'. All Credit For...

University of Negev Researchers Develop DeepDPM: A Deep Clustering Algorithm With An Unknown Number Of Clusters

Clustering is an essential unsupervised learning job in which class labels are not accessible, unlike in the supervised situation of classification. Furthermore, the number...

In The Latest AI Research, CMU And Adobe Researchers Propose An Elegant Emsembling Mechanism For GAN Training That Improves FID by 1.5x to 2x...

This Article Is Based On The Research Paper 'Ensembling Off-the-shelf Models for GAN Training'. All Credit For This Research Goes To The Researchers of...

DeepMind Researchers Develop ‘Gato’: A Multi-Modal, Multi-Task, Multi-Embodiment AI Generalist Policy Tool That Can Perform Over 600 Tasks

This Article Is Based On The Research Paper 'A Generalist Agent'. All Credit For This Research Goes To The Researchers 👏👏👏 Please Don't Forget To...

Researchers At SenseTime Develop HuMMan: A Multi-Modal 4D Human Dataset For Versatile Sensing And Modeling

This Article Is Based On The Research Paper 'HuMMan: Multi-Modal 4D Human Dataset for Versatile Sensing and Modeling'. All Credit For This Research Goes...

AI Researchers At Amazon Develop GIT: Generative Insertion Transformer For Controlled Data Generation Via Insertion Operations

This Article Is Based On The Research 'Controlled Data Generation via Insertion Operations for NLU'. All Credit For This Research Goes To The Researchers...

Researchers @ SenseTime Develop GNR: Generalizable Neural Performer for Human Novel View Synthesis

This Article Is Based On The Research Paper 'Generalizable Neural Performer: Learning Robust Radiance Fields for Human Novel View Synthesis'. All Credit For This...

Deepmind Researchers Propose Fair Normalizing Flows (FNF): A Rigorous Approach For Learning Fair Representations

This Article Is Based On The Research Paper 'FAIR NORMALIZING FLOWS'. All Credit For This Research Goes To The Researchers Of This Paper 👏👏👏 ✍...

Researchers from Adobe and MIT Develop Any-resolution Training for High-resolution Image Synthesis

This article is based on the research paper 'Any-resolution Training for High-resolution Image Synthesis'. All credit for this research goes to the researchers...

Researchers Introduce gDNA: a Novel AI Method that Learns to Generate Detailed 3D Shapes of People in a Variety of Garments with Corresponding Skinning...

This article summary is based on the research paper: 'gDNA: Towards Generative Detailed Neural Avatars' All credits for this research goes to the authors of...

Researchers At Allen Institute For AI Develop Continuous Scene Representations For Embodied AI

This article summary is based on the research paper: 'Continuous Scene Representations for Embodied AI'. All credits for this research goes to the authors of...

Latest Paper From Amazon AI Research Analyzes And Explains The Challenges And Developments in The Field Of Federated Learning

This article summary is based on the research paper from Amazon: 'Federated learning challenges and opportunities: An outlook' All credits for this research goes to...

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