ArtificialIntelligenceArticles

"Deep Neural Networks as Scientific Models" by Radoslaw Cichy & Daniel Kaiser in Trends in CogSci argues that deep learning should be used as models of human cognition.

"First, given the current level of theory development and the need to trade-off model desiderata, we should embrace DNNs as one of many diverse kinds of useful models. Second, through their predictive power DNNs have rich potential as tools for scientific research and application. Third, we should use DNNs' explanatory power for theorisation, but make explicit what type of explanation is at stake to allow fair assessment and criticism. Finally, the exploratory power of DNNs deserves our heightened attention."

https://www.cell.com/trends/cognitive-sciences/fulltext/S1364-6613(19)30034-8#%20

511 views14:22

Hair-GANs: Recovering 3D Hair Structure from a Single Image
Meng Zhang Youyi Zheng : https://arxiv.org/pdf/1811.06229.pdf
#Hair #DeepLearning #GenerativeAdversarialNetworks

473 views15:36

ArtificialIntelligenceArticles

"The Visual Task Adaptation Benchmark"
Zhai et al.: https://arxiv.org/abs/1910.04867
GitHub: https://github.com/google-research/task_adaptation
#ArtificialIntelligence #DeepLearning #MachineLearning

arXiv.org

A Large-scale Study of Representation Learning with the Visual...

Representation learning promises to unlock deep learning for the long tail of vision tasks without expensive labelled datasets. Yet, the absence of a unified evaluation for general visual...

439 views15:37

ArtificialIntelligenceArticles

Deep Neural Networks Improve Radiologists’ Performance in Breast Cancer Screening

Deep learning #AI of > 1 M mammograms: "a hybrid model, averaging the probability of malignancy predicted by a radiologist with a prediction of our neural network, is more accurate than either of the two separately."

https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8861376

422 views15:47

ArtificialIntelligenceArticles

Securing machine learning models against adversarial attacks
https://www.elementai.com/news/2019/securing-machine-learning-models-against-adversarial-attacks

Element AI

Securing machine learning models against adversarial attacks

Adversarial defences are techniques used to protect against adversarial attacks. The arms race between adversarial attacks and defences is intensifying.

382 views15:47

ArtificialIntelligenceArticles

[Tutorial] Build a Gender Classifier for Live Webcam Stream using Tensorflow and OpenCV
https://hackernoon.com/gender-classifier-with-tensorflow-and-opencv-rg1ye3weq

Hackernoon

[Tutorial] Build a Gender Classifier for Live Webcam Stream using Tensorflow and OpenCV

Training a Neural Network from scratch suffers two main problems. First, a very large, classified input dataset is needed so that the Neural Network can learn the different features it needs for the classification.

390 views15:57

ArtificialIntelligenceArticles

Rachael Tatman - Put down the deep learning: When not to use neural networks and what to do instead
https://www.youtube.com/watch?time_continue=2&v=qw5dBdTXLEs

YouTube

Rachael Tatman - Put down the deep learning: When not to use neural networks and what to do instead

"Speaker: Rachael Tatman The deep learning hype is real, and the Python ecosystem makes it easier than ever to neural networks to everything from speech reco...

392 views15:58

ArtificialIntelligenceArticles

Activation maps for deep learning models in a few lines of code
https://www.kdnuggets.com/2019/10/activation-maps-deep-learning-models-lines-code.html

KDnuggets

Activation maps for deep learning models in a few lines of code - KDnuggets

We illustrate how to show the activation maps of various layers in a deep CNN model with just a couple of lines of code.

431 views15:59

ArtificialIntelligenceArticles

Working memory revived in older adults by synchronizing rhythmic brain circuits
https://www.nature.com/articles/s41593-019-0371-x.epdf

Nature Neuroscience

Working memory revived in older adults by synchronizing rhythmic brain circuits

The authors develop a noninvasive stimulation protocol to restore neural synchronization patterns and improve working memory in older humans, contributing to groundwork for future drug-free therapeutics targeting age-related cognitive decline.

437 views16:04

ArtificialIntelligenceArticles

Cvpr 2019 paper

https://openaccess.thecvf.com/CVPR2019.py

454 views17:18

ArtificialIntelligenceArticles

The paper "Learning Predict-and-Simulate Policies From Unorganized Human Motion Data" is available here:
https://mrl.snu.ac.kr/publications/ProjectICC/ICC.html

477 views17:25

ArtificialIntelligenceArticles

Materials of the Summer school on Deep learning and Bayesian methods 2019
GitHub : https://github.com/bayesgroup/deepbayes-2019
#ArtificialIntelligence #DeepLearning #Bayesian

517 views20:16

ArtificialIntelligenceArticles

Machine Learning for Intelligent Systems: Cornell CS4780/CS5780

Lectures: https://www.youtube.com/playlist?list=PLl8OlHZGYOQ7bkVbuRthEsaLr7bONzbXS

Course Website: https://www.cs.cornell.edu/courses/cs4780/2018fa/syllabus/index.html

508 views01:13

ArtificialIntelligenceArticles

Harnessing the Power of Infinitely Wide Deep Nets on Small-data Tasks
Arora et al.: https://arxiv.org/abs/1910.01663
#RandomForests #MachineLearning #DeepLearning

470 views01:14

ArtificialIntelligenceArticles

The Illustrated GPT-2 (Visualizing Transformer Language Models)
Blog by Jay Alammar : https://jalammar.github.io/illustrated-gpt2/
#BERT #Transformer #ArtificialIntelligence