Good readings 2019

Not a paper, but something to be aware of deepmind losses

Little note: looking at the insane amount of money spent for a bunch of guys with fancy PhD and the very few concrete results they produced I’m wondering if it is fair.

2 Likes

AI Application:

Interactive Body-Driven Graphics for Augmented Video Performance : A system that augments live presentation videos with interactive graphics to create a powerful and expressive storytelling environment.

Turns out a paper came out earlier this month that basically accomplishes what I was describing here.

Training generative models to synthesize 1024x1024 images on a single GPU with 3 days training time.

How does an infinitely wide net perform?

Blog post : Ultra-Wide Deep Nets and Neural Tangent Kernel (NTK)

and the paper : On Exact Computation with an Infinitely Wide Neural Net

:wink:

1 Like

Transport-Based Neural Style Transfer for Smoke Simulations

Abs : Transfer features from natural images to smoke simulations, enabling general content-aware manipulations ranging from simple patterns to intricate motifs. The proposed algorithm is physically inspired, since it computes the density transport from a source input smoke to a desired target configuration. Temporal consistency is ensured by transporting and aligning subsequent stylized velocities, and 3D reconstructions are computed by seamlessly merging stylizations from different camera viewpoints.

2 Likes

Top Ten Research Papers of 2019
From Mariya Yao’s excellent Topbots blog

3 Likes

Just saw this paper to help with Data Augmentation for NLP.

Really great data augmentation system using label-conditioned language model generation to supplement data. And using a pretrained classifier to filter generated sentences to be close to the distribution of the original dataset.

5 Likes

Interesting… They’re quoting Jeremy too :wink:

WHAT DOES THE AI COMMUNITY THINK?

This is an interesting publication by S. Merity about a single headed attention LSTM with promising results for such a small model:
„Single Headed Attention RNN: Stop Thinking With Your Head“

4 Likes

On the Measure of Intelligence

François Chollet

5 Likes

74 Summaries of Machine Learning and NLP Research:

http://www.marekrei.com/blog/74-summaries-of-machine-learning-and-nlp-research/“

3 Likes

Stumbled upon this, short summaries on selected machine learning papers:

1 Like

URL is broken, gives a 404 error.

The last " is being included in the url

Thanks @urmas.pitsi , this looks like an excellent source. Could you please edit your post to fix the link?

1 Like

Sorry, my bad! Thanks for noticing! I fixed the link hopefully :slight_smile:

2 Likes

Pretty neat blogpost about compressing Bert. Various related papers and results.

1 Like

This is very interesting work on transfer learning for computer vision with medical image data (covers NN architectures and initializations):


2 Likes

Your “deep double descent” reading list:

(Optional but very nice) Intro blog post:

Deep double descendant blog post:

(Optional but very nice) Additional summary/comment:

(You can find the links to the official papers in the blog posts.)

4 Likes

Deep Learning for Symbolic Mathematics, is now on arXiv https://arxiv.org/abs/1912.01412