LeCun : Video of a debate on AI with Michael Collins, Mike Jordan, Scott Shenker, Jitendra Malik and me.
It took place 09/06 at Columbia U. as part of "Papafest", a workshop in honor of Christos Papadimitriou.
https://www.youtube.com/watch?v=XfUpLolW6m0&feature=youtu.be&fbclid=IwAR0O408mudqxF7htJQPHzbEtgdgaRuOZ8s27bvHggZ3MBxdutlQMN63wvMk
It took place 09/06 at Columbia U. as part of "Papafest", a workshop in honor of Christos Papadimitriou.
https://www.youtube.com/watch?v=XfUpLolW6m0&feature=youtu.be&fbclid=IwAR0O408mudqxF7htJQPHzbEtgdgaRuOZ8s27bvHggZ3MBxdutlQMN63wvMk
YouTube
AI Panel: Collins, Jordan, LeCun, Malik, Shenker
AI Panel moderated by Jitendra Malik (UC Berkeley) Panelists: Michael Collins (Columbia), Yann LeCun (NYU), Michael Jordan (UC Berkeley), Scott Shenker (UC B...
Unsupervised Doodling and Painting with Improved SPIRAL
“Under the right circumstances, some aspects of human drawing can emerge from simulated embodiment, without the need for external supervision, imitation or social cues.”
https://learning-to-paint.github.io
pdf https://arxiv.org/abs/1910.01007
“Under the right circumstances, some aspects of human drawing can emerge from simulated embodiment, without the need for external supervision, imitation or social cues.”
https://learning-to-paint.github.io
pdf https://arxiv.org/abs/1910.01007
YOLO Nano: a Highly Compact You Only Look Once Convolutional Neural Network for Object Detection
Wong et al.: https://arxiv.org/abs/1910.01271
#ArtificialIntelligence #DeepLearning #MachineLearning
Wong et al.: https://arxiv.org/abs/1910.01271
#ArtificialIntelligence #DeepLearning #MachineLearning
arXiv.org
YOLO Nano: a Highly Compact You Only Look Once Convolutional...
Object detection remains an active area of research in the field of computer vision, and considerable advances and successes has been achieved in this area through the design of deep convolutional...
A Neural Network for Detailed Human Depth Estimation from a Single Image. https://arxiv.org/abs/1910.01275
Linking artificial and human neural representations of language. https://arxiv.org/abs/1910.01244
arXiv.org
Linking artificial and human neural representations of language
What information from an act of sentence understanding is robustly
represented in the human brain? We investigate this question by comparing
sentence encoding models on a brain decoding task,...
represented in the human brain? We investigate this question by comparing
sentence encoding models on a brain decoding task,...
Cardiac Segmentation of LGE MRI with Noisy Labels. https://arxiv.org/abs/1910.01242
arXiv.org
Cardiac Segmentation of LGE MRI with Noisy Labels
In this work, we attempt the segmentation of cardiac structures in late
gadolinium-enhanced (LGE) magnetic resonance images (MRI) using only minimal
supervision in a two-step approach. In the...
gadolinium-enhanced (LGE) magnetic resonance images (MRI) using only minimal
supervision in a two-step approach. In the...
OpenVSLAM: A Versatile Visual SLAM Framework. https://arxiv.org/abs/1910.01122
arXiv.org
OpenVSLAM: A Versatile Visual SLAM Framework
In this paper, we introduce OpenVSLAM, a visual SLAM framework with high usability and extensibility. Visual SLAM systems are essential for AR devices, autonomous control of robots and drones,...
Unsupervised Pose Flow Learning for Pose Guided Synthesis
Zheng et al.: https://arxiv.org/abs/1909.13819
#ArtificialIntelligence #DeepLearning #MachineLearning https://t.iss.one/ArtificialIntelligenceArticles
Zheng et al.: https://arxiv.org/abs/1909.13819
#ArtificialIntelligence #DeepLearning #MachineLearning https://t.iss.one/ArtificialIntelligenceArticles
Awesome Machine Learning
A curated list of awesome machine learning frameworks, libraries and software (by language).
libraries: https://github.com/josephmisiti/awesome-machine-learning
books: https://github.com/josephmisiti/awesome-machine-learning/blob/master/books.md
A curated list of awesome machine learning frameworks, libraries and software (by language).
libraries: https://github.com/josephmisiti/awesome-machine-learning
books: https://github.com/josephmisiti/awesome-machine-learning/blob/master/books.md
GitHub
GitHub - josephmisiti/awesome-machine-learning: A curated list of awesome Machine Learning frameworks, libraries and software.
A curated list of awesome Machine Learning frameworks, libraries and software. - josephmisiti/awesome-machine-learning
Deep learning pioneer Yoshua Bengio explains why and how AI is not magic.
Learn More: https://www.forbes.com/sites/gilpress/2019/09/20/deep-learning-pioneer-yoshua-bengio-says-ai-is-not-magic-and-intel-ai-experts-explain-why-and-how/
Learn More: https://www.forbes.com/sites/gilpress/2019/09/20/deep-learning-pioneer-yoshua-bengio-says-ai-is-not-magic-and-intel-ai-experts-explain-why-and-how/
Forbes
Deep Learning Pioneer Yoshua Bengio Says AI Is Not Magic And Intel AI Experts Explain Why And How
Deep learning pioneer Yoshua Bengio and Intel executives on the present and future of AI
Deep Reinforcement Learning
CS 294-112 at UC Berkeley | Instructor Sergey Levine
Lecture Slides : https://rail.eecs.berkeley.edu/deeprlcourse/
#artificialintelligence #deeplearning #reinforcementlearning
CS 294-112 at UC Berkeley | Instructor Sergey Levine
Lecture Slides : https://rail.eecs.berkeley.edu/deeprlcourse/
#artificialintelligence #deeplearning #reinforcementlearning
Deep Multi-Agent Reinforcement Learning
Jakob N. Foerster : https://ora.ox.ac.uk/objects/uuid:a55621b3-53c0-4e1b-ad1c-92438b57ffa4
#MultiAgent #ReinforcementLearning #DeepLearning
Jakob N. Foerster : https://ora.ox.ac.uk/objects/uuid:a55621b3-53c0-4e1b-ad1c-92438b57ffa4
#MultiAgent #ReinforcementLearning #DeepLearning
AI & Architecture
An Experimental Perspective
By Stanislas Chaillou, Harvard Graduate School of Design: https://towardsdatascience.com/ai-architecture-f9d78c6958e0
#artificialintelligence #architecture #design #deeplearning #technology
An Experimental Perspective
By Stanislas Chaillou, Harvard Graduate School of Design: https://towardsdatascience.com/ai-architecture-f9d78c6958e0
#artificialintelligence #architecture #design #deeplearning #technology
Medium
AI & Architecture
An Experimental Perspective
Visualizing the Loss Landscape of Neural Nets
PyTorch code by Tom Goldstein: https://github.com/tomgoldstein/loss-landscape
#pytorch #neuralnetworks #machinelearning #deeplearning #artificialintelligence
PyTorch code by Tom Goldstein: https://github.com/tomgoldstein/loss-landscape
#pytorch #neuralnetworks #machinelearning #deeplearning #artificialintelligence
GitHub
GitHub - tomgoldstein/loss-landscape: Code for visualizing the loss landscape of neural nets
Code for visualizing the loss landscape of neural nets - tomgoldstein/loss-landscape
Paper by Li Fei-Fei
Causal Induction from Visual Observations for Goal Directed Tasks
https://arxiv.org/abs/1910.01751
#MachineLearning #DeepLearning #ArtificialIntelligence
Causal Induction from Visual Observations for Goal Directed Tasks
https://arxiv.org/abs/1910.01751
#MachineLearning #DeepLearning #ArtificialIntelligence
Population dynamics of synthetic terraformation motifs
Solé et al.: https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.180121
#SyntheticBiology #TheoreticalBiology #Mathematics
Solé et al.: https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.180121
#SyntheticBiology #TheoreticalBiology #Mathematics
On Universal Approximation by Neural Networks with Uniform Guarantees on Approximation of Infinite Dimensional Maps
William H. Guss and Ruslan Salakhutdinov : https://arxiv.org/abs/1910.01545
#ArtificialIntelligence #FunctionalAnalysis #MachineLearning
William H. Guss and Ruslan Salakhutdinov : https://arxiv.org/abs/1910.01545
#ArtificialIntelligence #FunctionalAnalysis #MachineLearning