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1.

Uncertainty in Deep Learning (2016)

mlg.eng.cam.ac.uk

9 years ago

260 points

2.

An Introduction to Flow Matching

mlg.eng.cam.ac.uk

2 years ago

72 points

3.

Uncertainty in Deep Learning

mlg.eng.cam.ac.uk

10 years ago

7 points

4.

What my deep model doesn't know

mlg.eng.cam.ac.uk

10 years ago

6 points

5.

Dropout as Bayesian inference for predictions and reinforcement learning

mlg.eng.cam.ac.uk

10 years ago

4 points

6.

Probabilistic Modelling, Machine Learning, and the Information Revolution (2012) [pdf]

mlg.eng.cam.ac.uk

12 years ago

3 points

7.

Uncertainty in Deep Learning – Yarin Gal (Cambridge Thesis, 2016) [pdf]

mlg.eng.cam.ac.uk

9 years ago

3 points

8.

Art generated by a neural network

mlg.eng.cam.ac.uk

11 years ago

3 points

9.

R vs. Matlab performance benchmarking

mlg.eng.cam.ac.uk

17 years ago

2 points

10.

Automation level up: The data science AI [pdf]

mlg.eng.cam.ac.uk

12 years ago

2 points

11.

Are You a Bayesian or a Frequentist? [pdf]

mlg.eng.cam.ac.uk

12 years ago

2 points

12.

A Comparison of Human and Agent Reinforcement Learning Algorithms

mlg.eng.cam.ac.uk

13 years ago

2 points

13.

Sustainable Growth (by Carl Rasmussen)

mlg.eng.cam.ac.uk

8 years ago

2 points

14.

What my deep model doesn't know

mlg.eng.cam.ac.uk

9 years ago

2 points

15.

Practical Probabilistic Programming with Monads (2015) [pdf]

mlg.eng.cam.ac.uk

10 years ago

2 points

16.

Atmospheric Carbon Dioxide Growth Rate

mlg.eng.cam.ac.uk

4 years ago

1 points