Week 2 CS294-158 Deep Unsupervised Learning (2/6/19)

#UCBerkeley #deeplearning #computervision

https://m.youtube.com/watch?v=mYCLVPRy2nc&feature=share

Robustness beyond Security: Computer Vision Applications
Engstrom et al.: http://gradientscience.org/robust_apps/
#artificialintelligence #computervision #security #technology

The complete list of all 519 ICML-2019 papers with code. #icml2019 #AI #MachineLearning #ComputerVision #code

https://www.paperdigest.org/2019/05/icml-2019-papers-with-code/

A key conference quality indicator is low paper acceptance rates. The CVPR 2019 paper acceptance rate dropped to 25.1 percent from last year’s 29.6 percent 🤓☝️

The list of all 1300 research papers accepted for CVPR 2019 is available here: http://openaccess.thecvf.com/CVPR2019.py

Given you spend 1 hour to read 1 article and the rate of 8 articles per day, it will take you about 6 months to read all of them. You'd better start right now 🙃

#CVPR2019 #computervision #patternrecognition #deeplearning #machinelearning

Complex-YOLO: Real-time 3D Object Detection on Point Clouds

Simon et al.: https://arxiv.org/abs/1803.06199

#ArtificialIntelligence #ComputerVision #DeepLearning #MachineLearning #PatternRecognition

Adaptive Neural Trees
Tanno et al.: https://arxiv.org/abs/1807.06699
#ArtificialIntelligence #ComputerVision #EvolutionaryComputing #MachineLearning #PatternRecognition

Learning Data Augmentation Strategies for Object Detection

Zoph et al.: https://arxiv.org/abs/1906.11172


#ArtificialIntelligence #ComputerVision #PatternRecognition

Adaptive Neural Trees
Tanno et al.: https://arxiv.org/abs/1807.06699
#ArtificialIntelligence #ComputerVision #EvolutionaryComputing #MachineLearning #PatternRecognition

Deep Learning and Medical Imaging: Part 2 🎯]
If you're a crafty AI engineer who wants to play with code to learn how things work, just keep reading !
In this post, you'll learn how to use PyTorch to train an Anterior Ligament Cruciate tear classifier that successfully detects these injuries from the MRNet MRI dataset with a very high performance (AUC > 0.95)
You'll dive into the code and go through various tips and tricks ranging from transfer learning to data augmentation, stacking and handling medical images.
You'll also learn about optimization tricks as well as how to organize code efficiently with neural architecture design.
Link to part 2: https://ahmedbesbes.com/automate-the-diagnosis-of-knee-injuries-with-deep-learning-part-2-building-an-acl-tear-classifier.html
Github repo with full code: https://github.com/ahmedbesbes/mrnet

#deeplearning #mediclaimaging #computervision

Natural Adversarial Examples

Hendrycks et al.: https://arxiv.org/abs/1907.07174) arxiv.org/abs/1907.07174

Dataset and code: https://github.com/hendrycks/natural-adv-examples

#MachineLearning #ComputerVision #PatternRecognition

Sports Matches & Artificial Intelligence
https://www.youtube.com/watch?v=kaslJ-8piSE&feature=youtu.be

Check the final ICCV'19 program here: http://iccv2019.thecvf.com/

It has been a pleasure (and a lot of work) to serve as program chair along with Pr. Svetlana Lazebnik, Pr. Ming-Hsuan Yang and Pr. In So Kweon for the
IEEE/CVF International Conference in #computervision (ICCV'19)
- 4350 full submissions (twice the number of ICCV'17)
- 175 ACs, 1,500 reviewers,
- 13,000 reviews
4 award papers (11 nominations), 200 orals, 850 posters, 25 complaints.
See you in Seoul.
#computervision, #patternrecognition, #artificialintelligence, #machinelearning, #deeplearning

Complex-YOLO: Real-time 3D Object Detection on Point Clouds
Simon et al.: https://arxiv.org/abs/1803.06199
#ArtificialIntelligence #ComputerVision #DeepLearning #MachineLearning #PatternRecognition

We have a lot to thank neurobiologists and neuroscientists for the #deeplearning revolution. A LOT!

In my lectures about #computervision you've heard me talk about the famous cat experiment by Torsten Wiesel and David Hubel.

Here they are with Stephen Kuffler (left) at the Department of Neurobiology at Harvard Medical School which was founded in 1966.

Source: Harvard Medical School.
PS: My 10 min lectures will go a bit into detail about the experiments and what they mean.
#artificiallintelligence #aiplaybook #research

Best 2019 Paper Awards in #ComputerVision
https://www.datasciencecentral.com/profiles/blogs/best-paper-awards-in-machine-learning

PyTorch Geometry
The PyTorch Geometry package is a geometric computer vision library for PyTorch
By Arraiy: https://github.com/arraiy/torchgeometry
#ArtificialIntelligence #ComputerVision #DeepLearning #MachineLearning #PyTorch

How to implement a YOLO (v3) object detector from scratch in PyTorch: Part 1
Blog by Ayoosh Kathuria: https://blog.paperspace.com/how-to-implement-a-yolo-object-detector-in-pytorch/
#ArtificialIntelligence #ComputerVision #DeepLearning #MachineLearning #PatternRecognition

Deep learning-enabled medical computer vision

#deeplearning #machinelearning #artificialintelligence #computervision #healthcare #medicalimaging #radiologists #radiology
https://www.nature.com/articles/s41746-020-00376-2

2021- Courses List of Machine Learning, Deep Learning, and Computer Vision from a top school.
CS224W: Machine Learning with Graphs - Stanford / Winter 2021
https://youtube.com/playlist?list=PLuv1FSpHurUemjLiP4L1x9k6Z9D8rNbYW
Full Stack Deep Learning - Spring 2021 - UC Berkeley
https://youtube.com/playlist?list=PLuv1FSpHurUc2nlabZjCLLe8EQa9fOoa9
Berkeley CS182/282 Deep Learnings - 2021
https://youtube.com/playlist?list=PLuv1FSpHurUevSXe_k0S7Onh6ruL-_NNh\
Introduction to Deep Learning (I2DL) - Technical University of Munich
https://youtube.com/playlist?list=PLuv1FSpHurUdmk7v06MDyIx0SDxTrIoqk
3D Computer Vision - National University of Singapore - 2021
https://youtube.com/playlist?list=PLuv1FSpHurUflLnJF6hgi0FkeNG1zSFCZ
CV3DST - Computer Vision 3: Detection, Segmentation and Tracking
https://youtube.com/playlist?list=PLuv1FSpHurUd08wNo1FMd3eCUZXm8qexe
ADL4CV - Advanced Deep Learning for Computer Vision
https://youtube.com/playlist?list=PLuv1FSpHurUcQi2CwFIVQelSFCzxphJqz
#MachineLearning #artificialintelligence #deeplearning #computervision #MontrealAI

2021 DeepMind x UCL Reinforcement Learning Lecture Series
Taught by DeepMind researchers, this series was created in collaboration with University College London (UCL) to offer students a comprehensive introduction to modern reinforcement learning.
Playlist
https://youtube.com/playlist?list=PLki3HkfgNEsKiZXMoYlR-14r1t_MAS7M8
https://youtu.be/_DpLWBG_nvk
#MachineLearning #artificialintelligence #deeplearning #computervision #MontrealAI