this is wild — kNN using a gzip-based distance metric outperforms BERT and other neural methods for OOD sentence classification
intuition: 2 texts similar if cat-ing one to the other barely increases gzip size
no training, no tuning, no params — this is the entire algorithm:
CVPR'23 is starting this Sunday 🔥
Our (with @hila_chefer) tutorial - "All Thins ViTs" is also ready to go. The website is updated w/ all the latest details. Drop by if you're attending (physically or virtually)!
We'll also have @MokadyRon as our guest!
https://t.co/eXfdnvcMQ1
We're all set for the beta launch of The School of AI, an AI-assisted self-study platform for mastering AI/ML concepts. Join the waitlist now at https://t.co/iqHq1IMDy5
#AI#ML#Education#BetaLaunch
Indian PhD students from @iiscbangalore, who have first-authored papers at prestigious conferences like @CVPR, are facing unjust denials of Canadian visas. With Shocking reasons "limited employment possibilities in India" and "purpose of visit not consistent with a temp. stay."
The pipeline has two options:
1. Going from a source concept to a target concept ("cat -> dog" as shown above) with an input prompt.
2. Option 2, but with the support of conditioning the pipeline on a real input image (see below)
1/ From today's AI@ event: we announced our Imagen text-to-image model is coming soon to AI Test Kitchen. And for the 1st time, we shared an AI-generated super-resolution video using Phenaki to generate long, coherent videos from text prompts and Imagen Video to increase quality.
I received a series of rejections this week. It hurts, i won’t deny it. When I started to internalize them, I called one of my bros and he helped me remember that I’m so much more than any opportunity or accomplishment. In short it’s okay to let your folks know when youre down ❤️
@shiprocket.in I tried ordering three times, but no one is picking the order. Even the customer service is not able help. Please help us, or we will move to some other platform. #shiprocket
🥳 Introducing TensorFlow Similarity!
Our newest python package is focused on making similarity learning quick and easy, and is now in Beta.
Full details ↓ https://t.co/9T8o8rz3XZ
H-Transformer-1D: Fast One-Dimensional Hierarchical Attention for Sequences
Gains +6 points on average on the Long
Range Arena benchmark over the subquadratic alternatives.
Sets a new SOTA ppl on One-Billion Word
dataset with 5x fewer model parameters.
https://t.co/bP66VDZ8de
Being wrong is not a bad thing like they teach you in school. It is an opportunity to learn something.
There are no mistakes, only lessons. Growth is a process of trial and error. 🧠