What a statement: $1,000,000 prize money at the Kaggle "Deepfake Detection Challenge" – Identifying videos with facial or voice manipulations.
@ArtificialIntelligenceArticles
"These content generation and modification technologies may affect the quality of public discourse and the safeguarding of human rights—especially given that deepfakes may be used maliciously as a source of misinformation, manipulation, harassment, and persuasion. Identifying manipulated media is a technically demanding and rapidly evolving challenge that requires collaborations across the entire tech industry and beyond.

AWS, Facebook, Microsoft, the Partnership on AI’s Media Integrity Steering Committee, and academics have come together to build the Deepfake Detection Challenge (DFDC)."

https://www.kaggle.com/c/deepfake-detection-challenge
#AI #deeplearning #deepfakes #kaggle https://t.iss.one/ArtificialIntelligenceArticles

SuperDyna
Toward a General AI-Agent Architecture
Rich Sutton (presentation starts at 15 min.) : https://slideslive.com/38921889/biological-and-artificial-reinforcement-learning-4
#ArtificialIntelligence #ReinforcementLearning #AGI

Quality-Diversity optimisation algorithms
List of papers related to QD algorithms, links to tutorials and workshops, and pointers to existing implementations of QD algorithms. Cully et al.: https://quality-diversity.github.io
#EvolutionaryAlgorithms #QualityDiversity #Illumination

Mesh R-CNN
Gkioxari et al.: https://arxiv.org/abs/1906.02739
#ArtificialIntelligence #DeepLearning #MachineLearning

Nvidia’s StyleGAN2: Analyzing and Improving the Image Quality of StyleGAN
Paper: https://arxiv.org/pdf/1912.04958.pdf
Code: https://github.com/NVlabs/stylegan2
https://www.marktechpost.com/2019/12/13/nvidias-stylegan2-analyzing-and-improving-the-image-quality-of-stylegan/

The #NeurIPS AI for social good workshop is live. Check out the live stream if you can't make it in person

https://slideslive.com/38922118/joint-workshop-on-ai-for-social-good-1

Yoshua Bengio: From Deep Learning To Consciousness
https://www.robinly.info/post/yoshua-bengio-from-deep-learning-to-consciousness

Artist in the Cloud
Towards the summit of AI, art, and autonomy
Gene Kogan : https://medium.com/@genekogan/artist-in-the-cloud-8384824a75c7
#ArtificialIntelligence #MachineLearning #Cryptoeconomics #Decentralization #Art

Useful Models for Robot Learning
Slides by Marc Deisenroth : https://deisenroth.cc/talks/2019-12-14-neurips-ws.pdf
#ReinforcementLearning #Robotics #MetaLearning

Deep Learning for symbolic mathematics
https://towardsdatascience.com/deep-learning-for-symbolic-mathematics-5830b22063d0

BMW shares AI algorithms used in production, available on GitHub
Github: https://github.com/BMW-InnovationLab

NeurIPS 2019 Notes
David Abel : https://david-abel.github.io/notes/neurips_2019.pdf
#ArtificialIntelligence #DeepLearning #NeurIPS2019

Few-shot Video-to-Video Synthesis

https://www.youtube.com/watch?v=8AZBuyEuDqc&feature=youtu.be



[Paper] 👉 https://arxiv.org/abs/1910.12713

[Video]👉https://www.youtube.com/watch?v=8AZBuyEuDqc&feature=youtu.be

Code👉https://github.com/NVlabs/few-shot-vid2vid

Nvidia’s StyleGAN2: Analyzing and Improving the Image Quality of StyleGAN
Paper: https://arxiv.org/pdf/1912.04958.pdf
Code: https://github.com/NVlabs/stylegan2
https://www.marktechpost.com/2019/12/13/nvidias-stylegan2-analyzing-and-improving-the-image-quality-of-stylegan/

How Meta-Learning Could Help Us Accomplish Our Grandest AI Ambitions, and Early, Exotic Steps in that Direction
Jeff Clune : https://www.cs.uwyo.edu/~jeffclune/share/2019_12_13_NeurIPS_Metalearning.pdf
#ArtificialGeneralIntelligence #AGI #MetaLearning

Nice list of references on using deep nets and models of brain and behavior, specifically using ConvNets as models of the visual cortex.

https://docs.google.com/document/d/1qil2ylAnw6XrHPymYjKKYNDJn2qZQYA_Qg2_ijl-MaQ/mobilebasic

@ArtificialIntelligenceArticles