Christopher ReMLSys 2020 Published 2020-03-03 Download video MP4 360p Download video MP4 720p Recommendations 1:15:20 Stanford CS229: Machine Learning Course, Lecture 1 - Andrew Ng (Autumn 2018) 1:21:46 Lecture 16 | Adversarial Examples and Adversarial Training 52:28 Mathematics Gives You Wings 55:46 Song Han's PhD Defense. June 1, 2017 @Stanford 27:15 Presentation - The Next Generation of AI tools for Design & Manufacturing 1:46:55 Lecture 1 | String Theory and M-Theory 1:07:52 Stanford CS230: Deep Learning | Autumn 2018 | Lecture 1 - Class Introduction & Logistics, Andrew Ng 59:32 Lecture 2 | Image Classification 52:07 Lecture 1 | The Fourier Transforms and its Applications 1:08:40 Lecture 1 | Machine Learning (Stanford) 1:05:54 Stanford CS234: Reinforcement Learning | Winter 2019 | Lecture 1 - Introduction - Emma Brunskill 1:18:17 Lecture 2 | Word Vector Representations: word2vec 49:47 Lecture 1 | Programming Methodology (Stanford) 1:11:41 Lecture 1 | Natural Language Processing with Deep Learning 1:38:28 Einstein's General Theory of Relativity | Lecture 1 1:08:36 Rigorous results from machine learning | Fabian Ruehle 57:57 Lecture 1 | Introduction to Convolutional Neural Networks for Visual Recognition 14:23 Why Automakers Are Invading Your Privacy 1:20:32 The INSANE Race for AI Humanoid Robots 55:33 Faïcel Chamroukhi: On Some Statistical and Machine Learning Problems in Research and Engineering Similar videos 07:27 Chris Re: What dark data is, and how bringing it to light will impact society 1:19:30 Stanford Invited Talk 2019 Chris gives some advice to young engineers 48:00 Large Scale Weak Supervision with Snorkel and Apache Beam by Suneel Marthi 10:14 Efficient Transformers: A survey 04:09 Lessons in Entrepreneurship from Stanford University's Chris Ré 05:21 Chris Ré, Stanford University: Big Data in Biomedicine Conference 9:36:00 SysML Conference 2019 - Day 1 26:56 Learning to Rank Relevant Malware Strings Using Weak Supervision 30:07 Jaxon.AI | Weak Supervision Webinar 30:14 Limitless Labels in a Labelless World: Weak Supervision with Noisy Labels - Arash Vahdat, NVIDIA 14:48 FlyingSquid: Speeding Up Weak Supervision with Triplet Methods (ICML 2020) 52:15 Weak Supervised Labeling Systems - Waterloo Data Science Meet Up 20190801 01:57 Online demo of skweak, a new Python toolkit for weak supervision in NLP 1:01:08 MedAI Session 20: Many Faces of Weak Supervision in Medical Representation Learning | Jared Dunnmon 27:18 OSDI '14 - Project Adam: Building an Efficient and Scalable Deep Learning Training System 59:14 MedAI Session 3: Weakly Supervised Learning in Medicine | Jason Fries 59:44 Stanford MLSys Seminar Episode 2: Matei Zaharia 20:24 ASPLOS'20 - Session 5A - Interstellar Using Halide’s Scheduling Language to Analyze DNN Accelerators 30:04 SLIDE: Smart Algorithms over Hardware Acceleration for Large-Scale Deep Learning with Beidi Chen... More results