DeepMind Has Reconciled Existing Neural Network Limitations To Outperform Neuro-Symbolic Models

Neural networks have achieved success in various perceptual tasks. However, it is stated that they are ineffective in solving problems requiring higher-level...

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...

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,...

Google AI Introduces Performer: A Generalized Attention Framework based on the Transformer architecture

Transformer model, a deep learning framework, has achieved state-of-the-art results across diverse domains, including natural language, conversation, images, and even music. The core block of any...

Nvidia’s New Technique — Called Adaptive Discriminator Augmentation (ADA) — Allows Researchers To Train...

Nvidia introduces a new method to train AI models using limited data sets. Using minimal study material required for a general GAN,...

PyRetri: An Open-Source Deep Learning Based Unsupervised Image Retrieval Library Built on PyTorch

Content-based image retrieval (CBIR) uses a representation of visual content to identify relevant images, and it is one of the fundamental research...

Hummingbird: A library for compiling trained traditional machine learning models into tensor computations

This is really a cool work out of Microsoft research called hummingbird. You can convert traditional machine learning models to tensor computations...

Machine Learning Metadata (MLMD) : A Library To Track Full Lineage Of Machine Learning...

Version control is used to keep track of modifications made in a software code. Similarly, when building machine learning (ML) systems, it...

SpeechSplit, an autoencoder that can decompose speech into content, timbre, rhythm and pitch

Human speech can be broken into four important components: content, timbre, pitch, and rhythm. The first component 'content' ofspeech shows the primary...

UC Berkeley Researchers Open-Source ‘RAD’ To Improve Any Reinforcement Learning Algorithm

In Reinforcement Learning (RL), it has always been challenging to learn from visual observations, which is a fundamental yet challenging problem. Despite...
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