Author: 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 from George Mason and Emory University Develop ‘RES’: a Robust Python Framework for Learning to Explain DNNs (Deep Neural Networks) with Explanation Supervision

AI Paper Summary
The study on explainability or explainable AI is currently receiving a lot of attention as DNNs become accessible in a variety of application domains....

The University of Texas Austin Researchers Propose HM3D-ABO: A Photo-realistic Dataset for Object-Centric Multi-View 3D Reconstruction

AI Paper Summary
Since the rise in popularity of AR/VR applications, researchers have been studying the process of reconstructing 3D objects. Researchers can create data-driven algorithms for...

Researchers At Amazon Propose ‘AdaMix’, An Adaptive Differentially Private Algorithm For Training Deep Neural Network Classifiers Using Both Private And Public Image Data

AI Paper Summary
It is crucial to preserve privacy by restricting the amount of data that may be gathered about each training sample when training a deep...

Google AI Researchers Propose SAVi++: An Object-Centric Video Model Trained To Predict Depth Signals From A Slot-Based Video Representation

AI Paper Summary
The complexity of the natural world, which is made up of different entities, results from the combined, largely autonomous actions of the entities. To...

NTU Researchers Propose ‘NOAH’: Neural Prompt Search for Large Vision Models

AI Paper Summary
The scale of vision models has increased tremendously in recent years, from tens of millions to hundreds of millions, if even billions, for Transformers....

Harvard Researchers Introduce A Novel ViT Architecture Called Hierarchical Image Pyramid Transformer (HIPT) That Can Scale Vision Transformers To Gigapixel Images Via Hierarchical Self-Supervised...

AI Paper Summary
Tissue phenotyping is a basic challenge in computational pathology (CPATH), which tries to characterize objective, histopathologic aspects inside gigapixel whole-slide images (WSIs) for cancer...

Stanford AI Researchers Propose ‘FOCUS’: A Foundation Model Which Aims to Achieve Perfect Secrecy For Personal Tasks

AI Paper Summary
Machine learning holds the possibility of assisting people with personal activities. Personal jobs range from well-known activities like subject categorization over personal correspondence and...

In A Latest Speech Processing Research, Meta AI Researchers Explain Their Study On Similarities Between Deep Learning Models And The Human Brain

AI Paper Summary
This Article is written as a summay by Marktechpost Staff based on the research paper 'Toward a realistic model of speech processing in the brain...

Researchers From China Introduce Vision GNN (ViG): A Graph Neural Network For Computer Vision Systems

AI Paper Summary
This Article is written as a summay by Marktechpost Staff based on the research paper 'Vision GNN: An Image is Worth Graph of Nodes'....

New AI Research From Deepmind Explains How Few-Shot Learning (FSL) Emerges Only When The Training Data Is Distributed In Particular Ways That Are Also...

AI Paper Summary
This Article is written as a summay by Marktechpost Staff based on the Research Paper 'Data Distributional Properties Drive Emergent In-Context Learning in Transformers'. All...

Researchers at Stanford University Propose FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness

AI Paper Summary
In applications such as image classification and natural language processing, transformer models have emerged as the most often utilized architecture. Transformers have expanded in...

Researchers at Borealis AI Propose PUMA: Performance Unchanged Model Augmentation for Training Data Removal

AI Paper Summary
This Article is written as a summay by Marktechpost Staff based on the Research Paper 'PUMA: Performance Unchanged Model Augmentation for Training Data Removal'....
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