A scalable pipeline for designing reconfigurable organisms
Kriegman et al.: https://www.pnas.org/content/early/2020/01/07/1910837117
#EvolutionaryComputation #ArtificialLife #Bioengineering

Choosing the Sample with Lowest Loss makes SGD Robust

https://arxiv.org/abs/2001.03316

PyTorch implementation of Meta Sequence-to-Sequence Learning
Github: https://github.com/facebookresearch/meta_seq2seq
Paper: https://cims.nyu.edu/~brenden/papers/Lake2019NeurIPS.pdf
Referred Tutorial: https://github.com/spro/practical-pytorch/blob/master/seq2seq-translation/seq2seq-translation-batched.ipynb

Deep Plastic Surgery: Robust and Controllable Image Editing with Human-Drawn Sketches
Yang et al.: https://arxiv.org/abs/2001.02890
#ArtificialIntelligence #DeepLearning #MachineLearning

Numenta Research Meeting - Geoff Hinton 1981 Paper reviews

https://www.youtube.com/watch?v=sq-BitMGgtc

Geoffrey Hinton Capsule theory

https://www.youtube.com/watch?v=6S1_WqE55UQ

Brain surgeons are bringing artificial intelligence and new imaging techniques into the operating room, to diagnose tumors as accurately as pathologists, and much faster

https://www.nytimes.com/2020/01/06/health/artificial-intelligence-brain-cancer.html?smtyp=cur&smid=tw-nytimesscience

Deep Residual Dense U-Net for Resolution Enhancement in Accelerated MRI Acquisition. https://arxiv.org/abs/2001.04488

Symmetric Skip Connection Wasserstein GAN for High-Resolution Facial Image Inpainting. https://arxiv.org/abs/2001.03725

Can Giraffes Become Birds? An Evaluation of Image-to-image Translation for Data Generation. https://arxiv.org/abs/2001.03637

Backward Feature Correction: How Deep Learning Performs Deep Learning
https://arxiv.org/abs/2001.04413

"My Top 10 Deep RL Papers of 2019"
Blog by Robert Tjarko Lange: https://roberttlange.github.io/posts/2019/12/blog-post-9/
#ArtificialIntelligence #Deeplearning #ReinforcementLearning

Improving sample diversity of a pre-trained, class-conditional GAN by changing its class embeddings
Qi Li, Long Mai, Anh Nguyen: https://anhnguyen.me/project/biggan-am/
#DeepLearning #GenerativeAdversarialNetworks #GAN

DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery Detection
Github: https://github.com/EndlessSora/DeeperForensics-1.0
Paper: https://arxiv.org/abs/2001.03024v1
Project Page: https://liming-jiang.com/projects/DrF1/DrF1.html
Video: https://youtu.be/b6iKqkJht38

Deep Plastic Surgery: Robust and Controllable Image Editing with Human-Drawn Sketches
Yang et al.: https://arxiv.org/abs/2001.02890
#ArtificialIntelligence #DeepLearning #MachineLearning

Hello, Millionaire Mohammad Rastegari! :) Super congrats to the team!

https://techcrunch.com/2020/01/15/apple-buys-edge-based-ai-startup-xnor-ai-for-a-reported-200m/?guccounter=1&guce_referrer=aHR0cHM6Ly93d3cuZ29vZ2xlLmNvbS8&guce_referrer_sig=AQAAAIwhp3HVzxPc6-Y-uSL214IVtdjF3myhyYl25Ua_pHK4AmqY31NL1qDSuISenFDRbvNWSlnnG0W7Ui61QhV2WM_cOS4p1bEQLU4m7V2cBrGm1dAnpNd0bv4a79aKHQuKjyizkHSdZSfOftAFFCG_OM-C1cNhxfBHqGwfizV2yTya

DDSP: Differentiable Digital Signal Processing
Engel et al.
⌨️ Blog: https://magenta.tensorflow.org/ddsp
🎵 Examples: https://g.co/magenta/ddsp-examples
⏯ Colab: https://g.co/magenta/ddsp-demo
💻 Code: https://github.com/magenta/ddsp
📝 Paper: https://g.co/magenta/ddsp-paper
#ArtificialIntelligence #TensorFlow #SignalProcessing

"Everybody’s Talkin’: Let Me Talk as You Want"
Paper pdf: https://arxiv.org/pdf/2001.05201.pdf
Github: https://wywu.github.io/projects/EBT/EBT.html
Youtube: https://youtu.be/tNPuAnvijQk
This paper presents a method to edit a target portrait footage by taking a sequence of audio as input to synthesize a photo-realistic video.

Bayesian Deep Learning Benchmarks
Oxford Applied and Theoretical Machine Learning Group : https://github.com/OATML/bdl-benchmarks
#Bayesian #Benchmark #DeepLearning