Requests for Research 2.0
We’re releasing a new batch of seven unsolved problems which have come up in the course of our research at OpenAI.
We’re releasing a new batch of seven unsolved problems which have come up in the course of our research at OpenAI.
The algorithms are implemented for Bernoulli bandit in lilianweng/multi-armed-bandit.
Exploitation vs Exploration
The exploration vs exploitation dilemma exists in many aspects of our life. Say, your favorite restaurant is right around the corner. If …
Deep Learning (the favourite buzzword of late 2010s along with blockchain/bitcoin and Data Science/Machine Learning) has enabled us to do some really cool stuff the last few years. Other than the advances in algorithms (which admittedly are based on id…
[Updated on 2018-12-20: Remove YOLO here. Part 4 will cover multiple fast object detection algorithms, including YOLO.]
[Updated on 2018-12-27: Add bbox regression and tricks sections for R-CNN.]
In the series of “Object Detection for Dummies&r…
Part 1 of the “Object Detection for Dummies” series introduced: (1) the concept of image gradient vector and how HOG algorithm summarizes the information across all the gradient vectors in one image; (2) how the image segmentation algorith…
We’re releasing highly-optimized GPU kernels for an underexplored class of neural network architectures: networks with block-sparse weights. Depending on the chosen sparsity, these kernels can run orders of magnitude faster than cuBLAS or cuSPARSE. We’…
By creating user interfaces which let us work with the representations inside machine learning models, we can give people new tools for reasoning.
A visual guide to Connectionist Temporal Classification, an algorithm used to train deep neural networks in speech recognition, handwriting recognition and other sequence problems.