Time-Travel Rephotography: An AI-Based Technique Using StyleGAN2 Framework To Color And Restyle Old Photographs

Film and photography methods faced numerous challenges in capturing the essence of an image in the past. Initially, apart from the black...

Researchers at ETH Zurich and UC Berkeley Propose Deep Reward Learning by Simulating The...

In Reinforcement Learning (RL), the task specifications are usually handled by experts. It needs a lot of human interaction to Learn from...

Researchers from Google Research and UC Berkeley Introduce BoTNet: A Simple Backbone Architecture that...

Researchers at UC Berkeley and Google Research have proposed a conceptually simple yet powerful backbone architecture that incorporates self-attention for various computer...

Google AI and UC Berkeley Introduce PAIRED: A Novel Multi-Agent Approach for Adversarial Environment...

The success of any machine learning technique is hugely dependent on its training data. In the case of reinforcement learning (RL), we...

Exploring Self-Supervised Policy Adaptation To Continue Training After Deployment Without Using Any Rewards

Humans possess a remarkable ability to adapt, generalize their knowledge and use their experiences in new situations. Simultaneously, building an intelligent system...

University of Wisconsin-Madison, UC Berkeley, and Google Brain Introduce Nystromformer: A Nystrom-based Algorithm for...

Early days of research in Natural language processing established long-term dependencies. It also brought the vanishing gradient problem in front of us...

Researchers From UC Berkeley, University of Maryland, and UC Irvine Introduce A new Contextual...

A team of researchers at UC Berkeley, University of Maryland, and UC Irvine conducted a study to identify that can cause instability...

Understanding The Memorization Of Data Including Personal Identifiable Information in GPT-2 Model

The Berkeley Artificial Intelligence Research (BAIR) evaluated how large language models memorize and regurgitate their training data's rare snippets in a recent paper. The focus was on GPT-2 and found...

UC Berkeley Researchers Use AI For Digital Voicing Of Silent Speech

Researchers at UC Berkeley have developed an AI model that detects ‘silent speech.’ The model is based on digital voicing to predict...

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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