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by _akhaliq on 2022-10-28 (UTC).

ERNIE-ViLG 2.0: Improving Text-to-Image Diffusion Model with Knowledge-Enhanced Mixture-of-Denoising-Experts
abs: https://t.co/TYNxPv2K5F

achieves a zero-shot FID-30k score of 6.75 on the MS-COCO dataset pic.twitter.com/VRUeIJRRVR

— AK (@_akhaliq) October 28, 2022
researchnlpcv
by _akhaliq on 2022-10-27 (UTC).

DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models
abs: https://t.co/nuhVrnsDw9
github: https://t.co/RTp4nNDYVR pic.twitter.com/OzzsrYNypo

— AK (@_akhaliq) October 27, 2022
researchw_codecvnlp
by ChelseaParlett on 2022-10-26 (UTC).

The math of Gaussian Mixture Model Clustering can be tough for undergrads to grasp, but it gives a TON of insight into how GMM works!

I made this GMM math worksheet to do with my class. https://t.co/oAYyMvNSRE pic.twitter.com/6ApX4GBvj2

— Chelsea Parlett-Pelleriti (@ChelseaParlett) October 26, 2022
learningtutorial
by _akhaliq on 2022-10-26 (UTC).

New Dreambooth method, train under 10 minutes without class images on multiple subjects

github: https://t.co/QO7UFwqXjf
colab: https://t.co/wIitnNdenM
reddit thread: https://t.co/gJlHikAt79 pic.twitter.com/7xKLtkzYza

— AK (@_akhaliq) October 26, 2022
tool
by _akhaliq on 2022-10-26 (UTC).

Lafite2: Few-shot Text-to-Image Generation
abs: https://t.co/WBV6jmciIl pic.twitter.com/fdpejYhPet

— AK (@_akhaliq) October 26, 2022
researchcv
by GoogleAI on 2022-10-25 (UTC).

Learn how Open Images V7 expands the Open Images dataset with new point-level label annotations, which provide localization information for 5.8k classes, and a new all-in-one visualization tool for better data exploration. https://t.co/1dbDuiifYT pic.twitter.com/oGGcTUJZpZ

— Google AI (@GoogleAI) October 25, 2022
datasetcv
by savvyRL on 2022-10-25 (UTC).

Now that ML is so much about scaling up on all fronts, and so little about ideas, scientific awards (e.g. "NeurIPS oral") should be resource normalized.

Student and independent researcher led research should NOT be evaluated the same way as industry-backed research. Period.

— Rosanne Liu @ NeurIPS (@savvyRL) October 25, 2022
thoughtmisc
by _akhaliq on 2022-10-25 (UTC).

Stable Diffusion v1-5 @Gradio Demo is out on @huggingface Spaces by @runwayml

demo: https://t.co/iCMHIFKpGe pic.twitter.com/6vtBHyG0tC

— AK (@_akhaliq) October 25, 2022
cvapplicationnlp
In a group with 16 other tweets.
by jjvincent on 2022-10-25 (UTC).

big AI art news from Shutterstock. the company is:

- integrating OpenAI's DALL-E to their site to generate stock images
- launching a fund to reimburse Shutterstock creators whose images are sold to train AI art modelshttps://t.co/7OlhYYyPlB

— James Vincent (@jjvincent) October 25, 2022
applicationcvnlp
by DeepMind on 2022-10-25 (UTC).

Is it possible to transform sensitive user data in a way that 𝘨𝘶𝘢𝘳𝘢𝘯𝘵𝘦𝘦𝘴 fairness while still being useful for (unknown) downstream applications?
 
Introducing LASSI: a new provably fair representation learning method for high-dimensional data: https://t.co/ww1I6qd4jA pic.twitter.com/D4VpJLY1qL

— DeepMind (@DeepMind) October 25, 2022
datasetresearch
by _akhaliq on 2022-10-25 (UTC).

Towards Real-Time Text2Video via CLIP-Guided, Pixel-Level Optimization
abs: https://t.co/qeHhRHxf4k
project page: https://t.co/ucoHXyVPAt pic.twitter.com/fYkMKXN5LY

— AK (@_akhaliq) October 25, 2022
researchcvnlp
by _akhaliq on 2022-10-24 (UTC).

Arcane Diffusion v3 - Updated dreambooth model now available on @huggingface

model: https://t.co/OiGSTfZnlv pic.twitter.com/78lTrv4t9J

— AK (@_akhaliq) October 24, 2022
cvapplication
In a group with 16 other tweets.
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