Cutting out the Middle-Man: Training and Evaluating Energy-Based Models without Sampling
Grathwohl et al.: https://arxiv.org/abs/2002.05616
#ArtificialIntelligence #DeepLearning #MachineLearning
Grathwohl et al.: https://arxiv.org/abs/2002.05616
#ArtificialIntelligence #DeepLearning #MachineLearning
List of Machine Learning and Deep Learning conferences in 2020
https://tryolabs.com/blog/machine-learning-deep-learning-conferences/
https://tryolabs.com/blog/machine-learning-deep-learning-conferences/
Tryolabs
List of AI & ML conferences
Top AI & ML Conferences to attend in 2025 & 2026
"absolutely brilliant"
—Nobel Laureate Danny Kahneman
The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence
Gary Marcus: https://arxiv.org/abs/2002.06177
#AIDebate #DeepLearning #RobustAI
—Nobel Laureate Danny Kahneman
The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence
Gary Marcus: https://arxiv.org/abs/2002.06177
#AIDebate #DeepLearning #RobustAI
CS 287 Advanced Robotics – Fundamental Knowledge
Abbeel et al.: https://people.eecs.berkeley.edu/~pabbeel/cs287-fa19/exam/cs287-fa19-exam-study-handout.pdf
#ArtificialIntelligence #ReinforcementLearning #Robotics
Abbeel et al.: https://people.eecs.berkeley.edu/~pabbeel/cs287-fa19/exam/cs287-fa19-exam-study-handout.pdf
#ArtificialIntelligence #ReinforcementLearning #Robotics
Anyone here have a bio-inspired model they want to benchmark? There's a $20k Kaggle competition hosted by François Chollet:
The Abstraction and Reasoning Challenge -- Create an AI capable of solving reasoning tasks it has never seen before.
The Abstraction and Reasoning Corpus (ARC) provides a benchmark to measure AI skill-acquisition on unknown tasks, with the constraint that only a handful of demonstrations are shown to learn a complex task.
Link: https://www.kaggle.com/c/abstraction-and-reasoning-challenge/overview 😎
The Abstraction and Reasoning Challenge -- Create an AI capable of solving reasoning tasks it has never seen before.
The Abstraction and Reasoning Corpus (ARC) provides a benchmark to measure AI skill-acquisition on unknown tasks, with the constraint that only a handful of demonstrations are shown to learn a complex task.
Link: https://www.kaggle.com/c/abstraction-and-reasoning-challenge/overview 😎
Kaggle
Abstraction and Reasoning Challenge
Create an AI capable of solving reasoning tasks it has never seen before
Neural network based finger counting technique
#deeplearning #machinelearning #ai
Abstract: https://www.ijser.org/researchpaper/Neural-Network-based-finger-counting-technique.pdf
#deeplearning #machinelearning #ai
Abstract: https://www.ijser.org/researchpaper/Neural-Network-based-finger-counting-technique.pdf
Replacing Mobile Camera ISP with a Single Deep Learning Model. http://arxiv.org/abs/2002.05509
New benchmark dataset for data-driven weather forecasting: WeatherBench
WeatherBench: A benchmark dataset for data-driven weatherforecasting
code https://github.com/pangeo-data/WeatherBench
paper https://arxiv.org/pdf/2002.00469.pdf
WeatherBench: A benchmark dataset for data-driven weatherforecasting
code https://github.com/pangeo-data/WeatherBench
paper https://arxiv.org/pdf/2002.00469.pdf
GitHub
GitHub - pangeo-data/WeatherBench: A benchmark dataset for data-driven weather forecasting
A benchmark dataset for data-driven weather forecasting - pangeo-data/WeatherBench
Create machine learning or deep learning model only in 3 lines of code.
https://techgrabyte.com/amazon-creates-autogluon/
https://techgrabyte.com/amazon-creates-autogluon/
Techgrabyte
Amazon Creates New Tool To Engineer AI Models With Just A Few Lines Of Code
Building a machine learning or deep learning model is a complex and time-consuming task. It requires feature engineering, data must be transformed and preproces