Private training data can easily be extracted from the predictions of a trained model. Your user data (health data, private information) isn't safe by default.
The good news? Adding just a little randomness can fully eliminate the memorization effect.
Private training data can easily be extracted from the predictions of a trained model. Your user data (health data, private information) isn't safe by default.
The good news? Adding just a little randomness can fully eliminate the memorization effect.
Meta-learning lets you tune hyperparameters with SGD! When @jonLorraine9 told me this, I thought it was too good to be true. The catch is you need large hypernetworks, but you can mostly avoid that by jointly training the hypernet and hyperparams: arxiv.org/abs/1802.09419
Do you want to learn about AI+Healthcare? Our @Stanford team is releasing a new Medium publication to share exciting work across the field! Check it out: medium.com/stanford-ai-fo…
Announcing the AI Fund! We have raised $175 million, and will start multiple new businesses that use AI to improve human life. We also hope to help many of you enter AI, and do the important work of building an AI-powered society. medium.com/@andrewng/anno…
0 Followers 23 FollowingData Scientist | AI & ML Enthusiast | Blockchain Innovator
Passionate about Machine Learning, Deep Learning, and Data Science.
Building solutions in Cybersecuri
66 Followers 401 FollowingPhD. I process data and make EP cardiac computer models in a small research lab. I share here my reading list and favorite tools.
93K Followers 823 Followingfast ai co-founder | past: math PhD, early eng at uber, prof at USF Data Institute | now focused on the microbiome, immunology, & chronic disease
32K Followers 3K FollowingFocused on machine learning & society. Previously @Salesforce Research via @MetaMindIO. @Harvard '14, @Sydney_Uni '11. 🇦🇺 in SF.
Also @ https://t.co/IamBQbjRiN
66K Followers 129 FollowingBaidu Research brings together top talent from around the world to focus on future-looking fundamental researches in #AI #deeplearning #machinelearning.
31K Followers 287 FollowingHas AI made the world better yet? Let's get on that. Director at Apple. Fmr Stanford PhD, Director Baidu SVAIL, @khoslaventures. #deeplearning #HPC #AI
17K Followers 195 FollowingNLP&ML researcher. Prof @uwcse @uwnlp & helper @allen_ai @ai2_allennlp. Have not been accepting new followers here for some time, please try a better platform.
78K Followers 2K Followinga combination of a mediocre scientist, a mediocre manager, a mediocre advisor & a mediocre physicist at @nyuniversity (@CILVRatNYU) & @PrescientDesign
41K Followers 246 FollowingProfessor of Machine Learning, University of Oxford
@OATML_Oxford Group Leader
Director of Research at the UK govt's AI Security Institute (AISI)
42K Followers 866 FollowingFR/US/GB AI/ML Person, Director of Research at @GoogleDeepMind, Honorary Professor at @UCL_DARK, @ELLISforEurope Fellow. All posts are personal.
64K Followers 2K FollowingResearch Scientist at Google DeepMind (WaveNet, Imagen, Veo). I tweet about deep learning (research + software), music, generative models (personal account).
35K Followers 2K FollowingVP of AI Research, Principal Scientist @ EIT | ex-Director @ DeepMind Building models to accelerate fundamental sciences and medicine. Opinions my own.
45K Followers 1K FollowingML with Social Purpose. @[email protected] | Research Scientist @DeepMind | Strengthening African ML @DeepIndaba. He/Him. South African 🇿🇦🏳️🌈🌍
10K Followers 671 FollowingProf Machine Learning and Inference @InfAtEd. Was Amazon Scholar @amazondevscot. Opinions are mine. https://t.co/4krqX6Szhy and https://t.co/DLMqvfKdzE
121K Followers 640 FollowingMila Scientific Director. Ex @Google DeepMind & Twitter Cortex. Father of 4. // Directeur scientifique à Mila. Ex @Google DeepMind & Twitter Cortex. Père de 4.
38K Followers 9 FollowingProfessor of machine learning at the University of Cambridge. Opinions are my own. Author of "The Atomic Human"
Mainly found on @lawrennd.bsky.social
1.4M Followers 1K FollowingBuilding @EurekaLabsAI. Previously Director of AI @ Tesla, founding team @ OpenAI, CS231n/PhD @ Stanford. I like to train large deep neural nets.
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