Allen Institute for AI Introduces TL;DR: An AI Tool That Summarizes Research Papers In...
The Researchers at Allen Institute for Artificial Intelligence (AI2) have developed a new AI model that summarizes text from scientific papers. It...
Facebook AI Introduces ‘ReBeL’: An Algorithm That Generalizes The Paradigm Of Self-Play Reinforcement Learning...
Most AI systems excel in generating specific responses to a particular problem. Today, AI can outperform humans in various fields. For AI...
Adobe Research Proposes HDMatt, A Deep Learning-Based Image Matting Approach
Image matting is an essential technique to estimate the foreground objects in images and videos for editing and composition. The conventional deep...
Georgia Tech and Facebook AI Researchers Devise a New Tensor Train Approach to Reduce...
A recent study conducted jointly by the Georgia Institute and Facebook AI researchers has opened the door to a new method called...
Multi-Expert Learning Architecture (MELA), A Method To Combine Deep Neural Networks
Researchers at the University of Edinburgh and Zhejiang University have revealed a unique way to combine deep neural networks (DNNs) for creating...
An MIT And IBM Research Group Has Proposed A Cross-Modal Auditory Localization Framework To...
Object localization means locating an instance of a particular moving object in a scene. This is done by using visual data as...
Inductive Biases May Bridge The Gap Between Current Deep Learning And Human Cognitive Abilities
At present, machine learning (ML) models find applications in various fields, and many ML systems have achieved remarkable accuracy in a variety...
Facebook AI And Sorbonne University Propose A New Benchmark, CTrL, To Evaluate How Efficiently...
In collaboration with Sorbonne University, Facebook AI introduced a new benchmark for continual learning (CL). This presents excellent means to improve traditional...
Exploring The Power Of Data In Quantum Machine Learning
Quantum computers have the capability to develop quantum machine learning algorithms. These algorithms can achieve better performance for modeling quantum-mechanical systems such as molecules,...
A Deep Generative Model for Fragment-Based Molecule Generation
In this paper, the authors discuss about the molecule generation, which is a challenging problem in cheminformatics. The two types of deep...
