Women in Machine Learning Symposium 2022
2022-12-09
-- online --
[Women in Machine Learning Symposium 2021, Women in Machine Learning Symposium 2022]
who it's for
machine learning engineers, computer vision engineers, mobile ML engineers, research scientists, on-device inference engineers, ml product managers, data scientists, early-career researchers
topics
stable diffusion with KerasCV; latent diffusion image generation; MediaPipe Studio low-code vision; TensorFlow Lite runtime delivery; OpenXLA compiler optimization; recommender systems with TensorFlow Recommenders; UNet CNN black hole simulation; Monk Skin Tone Scale for evaluation; decision forests in Colab; DCGAN training with Keras; on-device model tasks and Model Maker
| title | author | length |
|---|---|---|
| Keynote | Joana Carrasqueira, Sharbani Roy, Laurence Moroney, Dominique Thorne | 23m |
Overview of concrete launches and demos: announces MediaPipe Studio and high-level MediaPipe tasks for low-code mobile and web ML, a forthcoming Kaggle mobile… | ||
| Top 5 takeaways | Joana Carrasqueira, Sharbani Roy | 06m |
Announces a low‑code/no‑code vision pipeline MediaPipe Studio and a first mobile Kaggle challenge focused on parents learning sign language Kaggle sign… | ||
| Human-centered technology and the role of Responsible AI | Tulsee Doshi | 11m |
Describes concrete fixes: Search uses BERT to reinterpret ambiguous queries so explicit or stereotyped results get reduced and demoted problematic content… | ||
| Diffusion models | Divyashree Sreepathihalli | 10m |
StableDiffusion is a latent diffusion pipeline that maps a prompt through a frozen text encoder, repeatedly denoises a latent patch with a diffusion model… | ||
| How to use Deep Learning in black hole weather forecasting | Roberta Duarte Pereira | 14m |
Claims a first AI simulation of a black hole accretion flow using a convolutional UNet CNN trained on GRMHD-like Navier–Stokes simulation frames, learning time… | ||
| Skin tone and computer vision | Auriel Wright | 11m |
Describes Google replacing the 6-point Fitzpatrick standard after Cloud Vision missed a darker student, developing the Monk Skin Tone Scale with Dr. Ellis Monk… | ||
| Introduction to Machine Learning | Soo Sung, Michelle Carney | 46m |
Hands-on demo trains a decision forests classifier in Colab with pandas and TensorFlow to predict Palmer Penguins species, starting from 344 rows, dropping… | ||
| TensorFlow Lite in Android | He Jiang | 46m |
TensorFlow Lite runs from Google Play services so apps can reduce binary size up to 5 MB by requesting the TFLite runtime and GPU delegate at runtime instead… | ||
| Advanced on-device ML made easy | Lu Wang | 32m |
MediaPipe introduces three tools — Tasks, Model Maker, and Studio — that package end-to-end on-device pipelines and cross-platform deployment. The preview… | ||
| Generative Adversarial Networks (GANs) and Stable Diffusion | Shilpa Kancharla | 44m |
Walkthrough builds a DCGAN on MNIST using Keras with Conv2DTranspose, Adam and binary cross-entropy, training for 50 epochs until noise converges into legible… | ||
| Career development panel: From being the only women in the room to empowering the next generation | Joana Carrasqueira, Divya jain, Anitha Vijayakumar, Anne Simonds, Joyce Shen | 27m |
A career-panel lays out concrete routes into applied ML: one path is Stanford SCPD courses then hands‑on work at startups and later product teams, another is… | ||
| Using Machine Learning and AI to serve people and communities | Vivienne Ming | 01h 03m |
Starts with facial analysis in 1999 and shows concrete outcomes: learned filters that improve cochlear implant speech-in-noise, a tablet system that reunites… | ||
| How to take action and get involved in Machine Learning | Carolyn Ujcic | 13m |
Career path moves from consulting to Google Cloud lead and includes building a workforce development program for fiber installers and running customer ML… | ||
| Creating successful study groups to empower everyone | Mari Kobayashi, Sari Furumuro | 10m |
AI/Advanced Programming Consortium runs a student‑led program started in 2019 and operates a 10-class autumn curriculum where beginners do lectures, quizzes… | ||
| nothing matches | ||