UC Berkeley

AI Researchers Propose ‘GANgealing’: A GAN-Supervised Algorithm That Learns Transformations of...

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The correspondence problem of visual alignment is one that computer vision algorithms must solve for many different applications.It's considered a critical element in Optical...

Researchers From Tel Aviv University, UC Berkeley and NVIDIA Introduce ‘DETReg’,...

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The application of self-supervised pretraining to computer vision has been beneficial, especially for object detection. However, previous approaches were not designed with localization in...

Researchers at Facebook AI, UC Berkeley, and Carnegie Mellon University Announced...

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To achieve success in the real world, walking robots must adapt to whatever surfaces they encounter, objects they carry, and conditions they are in,...

Researchers from UC Berkeley and CMU Introduce a Task-Agnostic Reinforcement Learning...

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Applying Deep Learning techniques to complex control tasks depends on simulations before transferring models to the real world. However, there is a challenging “reality...

Time-Travel Rephotography: An AI-Based Technique Using StyleGAN2 Framework To Color And...

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

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

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

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

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

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

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

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

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

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

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