Discovering Symbolic Models from Deep Learning with Inductive Biases (Paper Explained)
Converting Neural Networks to Symbolic Models
DeepMind Researchers Introduce Epistemic Neural Networks (ENNs) For Uncertainty Modeling In Deep Learning
A linear programming approach for optimizing features in ML models
Machine Learning Engineering for Production (MLOps)
EI Seminar - Deepak Pathak - Rapid Adaptation in Robot Learning
Facebook AI Introduces 'ConViT', A Computer Vision Model That Improves Vision Transformers (ViT) With Soft Convolutional Inductive Biases
Mind and matter: Modeling the human brain with machine learning
A machine learning breakthrough: using satellite images to improve human lives
DeepMind Introduces It's Supermodel AI 'Perceiver': A Neural Network Model That Could Process All Types Of Input
The Pentagon Is Bolstering Its AI Systems—by Hacking Itself
OpenAI Codex shows the limits of large language models
IBM unveils first machine-learning end-to-end pipeline starter kit | ZDNet
AI Generated Art Scene Explodes as Hackers Create Groundbreaking New Tools CLIP+VQ-GAN
You Don’t Understand Neural Networks Until You Understand the Universal Approximation Theorem
dblp: computer science bibliography
ICLR 2021 Keynote - "Geometric Deep Learning: The Erlangen Programme of ML" - M Bronstein
Nvidia’s Canvas AI painting tool instantly turns blobs into realistic landscapes
[ML News] Hugging Face course | GAN Theft Auto | AI Programming Puzzles | PyTorch 1.9 Released
#55 Self-Supervised Vision Models (Dr. Ishan Misra - FAIR).
[ML News] De-Biasing GPT-3 | RL cracks chip design | NetHack challenge | Open-Source GPT-J
Where Are the AI Jobs? Look to a Farm or a Forest - IEEE Spectrum
Computers can now predict our preferences directly from our brain
Toward Generalized Sim-to-Real Transfer for Robot Learning