Cezanne Camacho

Machine learning educator. Certainly uncertain. (say-zahn)

[Barbara Lee @BarbaraLee_CA]

I am the only candidate in CA’s US Senate race demanding an unconditional ceasefire.

My call now reflects a lifetime of anti-war advocacy.

After 9/11, I cast the lone vote against the War in Afghanistan & led against the War in Iraq.

We need a proven peace & security Senator.

[Nitasha Tiku @nitashatiku]

I talked to @timnitGebru about her new AI research institute, launched on the one year anniversary of being fired from Google. DAIR offers a competing vision for AI research from the broken incentives inside Big Tech https://t.co/fcMUgqRaOC

[Vinodkumar Prabhakaran @vinodkpg]

Thrilled to be able to finally share our work on dealing w/ disagreements in data!

Annotators are not interchangeable! When they disagree, especially on subjective tasks, it may be a signal rather than noise.

Ongoing work w/ my amazing intern @aidaa & colleague @blahtino. 1/N

[Cezanne Camacho @cezannecam]

A good day to interrogate the status quo and imagine a better world! For further reading, and learning more about the many facets of abolitionist work: https://t.co/LHwjdeKDLX

[Cezanne Camacho @cezannecam]

“The surest way of reducing police violence is to reduce the power of the police, by cutting budgets and the number of officers...
We don’t want to just close police departments. We want to make them obsolete.” - @prisonculture in the NYT https://t.co/VTZIuf0ghY

[Cezanne Camacho @cezannecam]

@ambrosemcduffy Not that many! Around 30-40 phone photos, which I cropped/augmented to make a training dataset of about 160 images total.

[Cezanne Camacho @cezannecam]

I have been taking pictures of clouds for a while and I recently gathered a bunch of photos and used them to train a low-res GAN. Here are some cute fake-clouds for #cloudtwitter

[Cezanne Camacho @cezannecam]

@MatDrinksTea I’m the same! Haven’t tried it yet, but I will let you know

[Cezanne Camacho @cezannecam]

@MatDrinksTea You’re reading my MIND, that’s where I’m going next!

[Cezanne Camacho @cezannecam]

@souravdlboy Great work! Did you have a favorite part - an interesting project or aspect of the community?

[Cezanne Camacho @cezannecam]

@CanumaGdt This is great, thanks for sharing! What did you use for the style image?

[Cezanne Camacho @cezannecam]

@leslysandra @luis_likes_math It was so great meeting you too! Wishing you lots of success now and in future :)

[Cezanne Camacho @cezannecam]

@adventuroussrv @udacity @akshtjn @palak_sadani @iamtrask @luis_likes_math @alexis_b_cook Great work!

[Cezanne Camacho @cezannecam]

@GabirYousef @udacity Thank you for saying this, I am so glad you enjoyed the program!

[Cezanne Camacho @cezannecam]

The blog post has some great visualizations such as this one, which shows a network, starting out with randomly-weighted connections then learning to strengthen important connections during training (thanks for the clarification @Mitchnw)! https://t.co/3aPoTs8apT

[Cezanne Camacho @cezannecam]

Very cool work on a neural net that can jointly learn the weights and *connections* between nodes in an NN during training! A simple update rule relates the "importance" of a node-node connection (wrt decreasing the training error) to a weight assigned to that connection

[Mitchell Wortsman @Mitchnw]

Excited to share our blog on ~Discovering Neural Wirings~ expanding on recent work with Ali Farhadi & @morastegari to appear at #NeurIPS2019 (see thread below for more info)!

Blog: https://t.co/kqCDJLNvXU
Preprint: https://t.co/lwaremWDTX
Code: https://t.co/SitT462ZOm

(1/4)

[Cezanne Camacho @cezannecam]

@Mitchnw Ah, that makes sense! Thank you

[Cezanne Camacho @cezannecam]

@e_sjule @NewYorker !!! LOL I love this

[Cezanne Camacho @cezannecam]

@math_rachel @rajiinio @usfca @craignewmark This was a really compelling seminar. I’m looking forward to seeing even more!

[Cezanne Camacho @cezannecam]

On auditing as a tool to make AI systems more transparent and accountable to the populations they affect. The brilliant @rajiinio discussed strategies for designing an actionable audit of facial recognition systems, taking inspiration from the social and information sciences