Spectral Signatures in [Neural Net] Backdoor Attacks

paper: https://arxiv.org/abs/1811.00636

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing #emnlp2018

https://aclanthology.coli.uni-saarland.de/events/emnlp-2018#D18-1

Flow-based Deep Generative Models

Blog by Lilian Weng: https://lilianweng.github.io/lil-log/2018/10/13/flow-based-deep-generative-models.html

"Writing Code for NLP Research" tutorial at #emnlp2018

Slides by the Allen Institute for Artificial Intelligence: https://docs.google.com/presentation/d/17NoJY2SnC2UMbVegaRCWA7Oca7UCZ3vHnMqBV4SUayc/e

45 years ago today TCP/IP was born
Paper by Vint Cerf & Bob Kahn describing a protocol for sending packets across networks: https://www.cs.princeton.edu/courses/archive/fall06/cos561/papers/cerf74.pdf

"Machine learning and artificial intelligence in the quantum domain"

By Vedran Dunjko, Hans J. Briegel: https://arxiv.org/abs/1709.02779

Democratizing the Promise of Artificial Intelligence 😍

AI Commons is an international nonprofit organization seeking to gather a true ecosystem to democratize access to AI capabilities, to allow anyone, anywhere to benefit from the possibilities that AI can provide.

WebSite: https://www.aicommons.com/

A Corpus for Reasoning About Natural Language Grounded in Photographs

Suhr et al.: https://arxiv.org/abs/1811.00491

GitHub: https://github.com/clic-lab/nlvr

Generating Memoji from Photos

Blog by Pat Niemeyer: https://patniemeyer.github.io/2018/10/29/generating-memoji-from-photos.html

Reinforcement Learning with Prediction-Based Rewards

By Yura Burda and Harri Edwards, OpenAI: https://blog.openai.com/reinforcement-learning-with-prediction-based-rewards/

Learning to Dress: Synthesizing Human Dressing Motion via Deep Reinforcement Learning
https://www.cc.gatech.edu/~aclegg3/projects/LearningToDress.html

FishExplorer

1.5 million neurons, cell-level activity during multiple behaviors
15 TB raw, 56 GB compressed
18 fish whole-brain data, ~100k neurons/fish

Data and code: https://github.com/xiuyechen/fishexplorer

Paper:https://www.sciencedirect.com/science/article/pii/S0896627318308444

#bigdata #brain #datascience #machinelearning #research

Unsolved Problems in AI

https://medium.com/ai-roadmap-institute/unsolved-problems-in-ai-38f4ce18921d @ArtificialIntelligenceArticles

Toward an AI Physicist for Unsupervised Learning

By Tailin Wu (MIT), Max Tegmark (MIT): https://arxiv.org/abs/1810.10525

#ArtificialIntelligence #ComputationalPhysics #DisorderedSystems

book : Deep Learning with JavaScript

by François Chollet , Shanqing Cai, Stanley Bileschi, Eric D. Nielsen https://livebook.manning.com/#!/book/deep-learning-with-javascript/welcome/v-1/0

Open Courses and Textbooks

By Samuel G. Finlayson: https://sgfin.github.io/learning-resources/

#artificialintelligence #bigdata #deeplearning #machinelearning #neuralnetworks

Simple, Distributed, and Accelerated Probabilistic Programming"

https://arxiv.org/abs/1811.02091
Code:https://github.com/google-research/google-research/tree/master/simple_probabilistic_programming/

"Quora Insincere Questions Classification"

Detect toxic content to improve online conversations

Kaggle: https://www.kaggle.com/c/quora-insincere-questions-classification

Driving Computer Vision with Deep Learning"

Blog: https://wayve.ai/blog/2018/10/8/vision-for-driving-with-deep-learning

Machine Learning Videos

By Dustin Tran: https://github.com/dustinvtran/ml-videos