마이크로소프트 리서치에서 200개가 넘는 동영상을 한꺼번에 유투브 채널에 공개했습니다. 머신러닝과 딥러닝에 관한 영상도 많아 참고하시면 좋을 것 같습니다. 포스트 맨 아래에 전체를 리스트업 했습니다. 혹 추가되는 영상이 있다면 업데이트 하도록 하겠습니다.
그리고 이 동영상 공개외에도 자체적으로 개발해 오던 Checked C 를 오픈소스로 깃허브에 공개했습니다. 스펙의 버전은 0.5이며 별도의 스펙 레파지토리에서 다운 받으실 수 있습니다. 링크드인을 인수하는 등 예전의 마이크로소프트가 아닌 것 같네요.
<마이크로소트프 리서치 동영상 풀 리스트>
- Language, Emotion, and Personality: How the Words We Use Reflect Who We Are
- NIPS Poster Spotlight Session 3
- Numiscan
- Symposium: Brains, Minds and Machines – Demis Hassabis
- Minecraft Education Summit: Education
- Symposium: Deep Learning – Max Jaderberg
- Welcome and Keynote – Geoff Bilder, Director of Strategic Initiatives at CrossRef
- Symposium: Deep Learning; Emily Denton
- Oral Session: Competitive Distribution Estimation: Why is Good-Turing Good
- Keynote – A Better Way to Deliver Innovation?
- NIPS Poster Spotlight Session 6
- Panel 1 – Capturing the Research Lifecycle
- NIPS Poster Spotlight Session 2
- Invited Talks: Computational Principles for Deep Neuronal Architectures
- Approximate Majority algorithm
- Symposium: Brains, Minds and Machines – Joshua Tenenbaum
- DNA Strand Displacement
- Outatime: Using Speculation to Enable Low-Latency Continuous Interaction for Mobile Cloud Gaming
- Provable Algorithms for Learning Neural Networks
- Modern Deep Learning through Bayesian Eyes
- Towards Understandable Neural Networks for High Level AI Tasks – Part 2
- Towards Understandable Neural Networks for High Level AI Tasks – Part 4
- What are the prospects for automatic theorem proving?
- Towards Understandable Neural Networks for High Level AI Tasks – Part 3
- rawing as Literacy.”
- Towards Cross-fertilization Between Propositional Satisfiability and Data Mining
- Making Objects Count: A Shape Analysis Framework for Proving Polynomial Time Termination
- Human factors of software updates
- Machine-Checked Correctness and Complexity of a Union-Find Implementation
- Applications of 3-Dimensional Spherical Transforms to Acoustics and Personalization of Head-related
- Network Protocols: Myths, Missteps, and Mysteries
- Optimal and Adaptive Online Learning
- Speaker Diarization: Optimal Clustering and Learning Speaker Embeddings
- Multi-rate neural networks for efficient acoustic modeling
- Why Visualization? Task Abstraction for Analysis and Design
- Unsupervised Latent Faults Detection in Data Centers
- System and Toolchain Support for Reliable Intermittent Computing
- Gates Foundation Presents: Crucial Areas of Fintech Innovation for the Bottom of the Pyramid
- Social Computing Symposium 2016: Harassment, Threats, Trolling Online, Diversity in Gaming is Vital
- Bringing Harmony Through AI and Economics
- Approximating Integer Programming Problems by Partial Resampling
- A Lasserre-Based (1+epsilon)-Approximation for Makespan Scheduling with Precedence Constraints
- Towards Understandable Neural Networks for High Level AI Tasks – Part 7
- Verasco, a formally verified C static analyzer
- Future Microprocessors Driven by Dataflow Principles
- Theory and Experiments on the Spontaneous Evolution of Culture
- Single-shot error correction with the gauge color code
- Robust Spectral Inference for Joint Stochastic Matrix Factorization and Topic Modeling
- How Much Information Does a Human Translator Add to the Original and Multi-Source Neural Translation
- Opportunities and Challenges in Global Network Cameras
- Nature in the City: Changes in Bangalore over Time and Space
- Making Small Spaces Feel Large: Practical Illusions in Virtual Reality
- Machine Learning as Creative Tool for Designing Real-Time Expressive Interactions
- Recent Developments in Combinatorial Optimization
- Computational Limits in Statistical Inference: Hidden Cliques and Sum of Squares
- Coloring the Universe: An Insider’s Look at Making Spectacular Images of Space
- Towards Understandable Neural Networks for High Level AI Tasks – Part 6
- The 37th UW/MS Symposium in Computational Linguistics
- The Linear Algebraic Structure of Word Meanings
- Machine Learning Algorithms Workshop
- Interactive and Interpretable Machine Learning Models for Human Machine Collaboration
- Improving Access to Clinical Data Locked in Narrative Reports: An Informatics Approach
- Representation Power of Neural Networks
- Green Security Games
- e-NABLE: A Global Network of Digital Humanitarians on an Infrastructure of Electronic Communications
- NSF Interdisciplinary Workshop on Statistical NLP and Software Engineering – Session 7
- NSF Interdisciplinary Workshop on Statistical NLP and Software Engineering – Session 8
- NSF Interdisciplinary Workshop on Statistical NLP and Software Engineering – Session 5
- NSF Interdisciplinary Workshop on Statistical NLP and Software Engineering – Session 3
- NSF Interdisciplinary Workshop on Statistical NLP and Software Engineering – Session 2
- NSF Interdisciplinary Workshop on Statistical NLP and Software Engineering – Session 6
- NSF Interdisciplinary Workshop on Statistical NLP and Software Engineering – Session 1
- NSF Interdisciplinary Workshop on Statistical NLP and Software Engineering – Session 4
- Studio99 Presents: The 2015 Stranger Genius Nominees Show and Discuss Their Work
- Towards Understandable Neural Networks for High Level AI Tasks
- Rethinking Storage and Networking in Next Generation Racks
- Synthetic Biology: New Tools for an Industry at an Inflection Point
- Satisfiability of Ordering CSPs Above Average Is Fixed-Parameter Tractable
- National Parks Conservation Association (NPCA)
- A Greater Light to Rule the Day: The Sun, the Stars, and Climate Change
- Greedy Transition-Based Dependency Parsing with Stack-LSTMs
- Interactive Biotechnology: Cloud Labs, Biotic Games, DIY kits, and more
- Automated SMT-based Verification for Reasoning about Approximations
- Inter-Active Learning with Queries on Instances and Features
- The Strange Logic of Galton-Watson Trees
- Reverse Engineering Autonomous Language Acquisition
- Mobile Sensor Big Data Challenges in Realizing Precision Medicine
- Comics and Stuff: An Introduction
- Bioinformatics: Local Views and Global Conclusions
- Extreme Classification: A New Paradigm for Ranking & Recommendation
- Intelligent Control of Crowdsourcing
- Improving Urban Public Education: Lessons from Charter Schools
- An Algorithm for Precision Medicine
- VISC: Virtual Instruction Set Computing
- The Contextual Bandits Problem: A New, Fast, and Simple Algorithm
- Deep consequences: Why syntax isn’t a thing; modeling language with neural nets
- DNN-Based Online Speech Enhancement Using Multitask Learning and Suppression Rule Estimation
- Research on Concert Hall Acoustics at Aalto University
- Program Synthesis from Refinement Types
- Paradoxes of Openness and Distinction in the Sharing Economy
- Change Dyslexia: Early Detection and Intervention at Large Scale
- Big Data and Bayesian Nonparametrics
- A Faster Cutting Plane Method and its Implications for Combinatorial and Convex Optimization
- Microsoft Research New England: An introduction
- WIPTTE: Pam Mueller and Sharon Oviatt
- Build a Great website and handy Virtual Tools – Session 1
- Recent Advances in Deep Learning at Microsoft: A Selected Overview
- Probability and Prejudice: Bridging the Gap Between Machine Learning and Programming Languages
- Madoko: a scholarly markdown
- Practical Learning Algorithms for Structured Prediction
- Experiences with Scaling Blockchain-based Data Stores
- DataHub and E-Store
- Near Future Laboratory
- Context-aware programming languages
- The Forza Motorsport 5 Original Soundtrack, An Insider’s View
- Optimal Design for Social Learning
- Introduction to Machine Learning in Python with Scikit-Learn
- Local Deep Kernel Learning for Efficient Non-linear SVM Prediction
- F# Type Providers: DBpedia and the Combinator Framework
- Vowpal Wabbit Future Plans
- Enabling more Girls in Computing: Office Mix CS Toolkit for middle school and CS Principles Gaming C
- Computer Vision – StAR Lecture Series: Object Recognition
- Checking microarchitectural implementations of weak memory
- Blind Deconvolution Using Unconventional Beamforming
- Symmetry-Based Learning
- Towards Scalable Quantum Computation
- Systems, Science and FreeBSD
- Towards Zero Latency Photonic Switching
- Vowpal Wabbit
- Deep Learning for Text Processing
- CodaLab for Data-Driven Research – Welcome, CodaLab in Action, and Hands-on
- Safe TypeScript: Safe and Efficient Gradual Typing for TypeScript
- CodaLab for Data-Driven Research – Theme Roundtables
- Challenges in Geo-Distributed Data Center and Application Design
- Transforming Education via Research
- TouchDevelop: Create Rich Mobile Cloud Apps on Your Device
- Market-Oriented Cloud Computing and Big Data Applications
- Lab of Things: An Internet of Things Research Platform
- Challenges of Computational Hydrology and the Potential Community Empowerment
- Keynote: Fast History and Innovation
- Keynote: ALMA, Chile, and the new challenges facing astronomy at the beginning of the 21st Century
- Keynote: An Overview of the Microsoft Research Advanced Technology Labs
- Device-Oriented Research
- Deploying Machine Learning Algorithms – Predicting Risk of Readmission for Congestive Heart Failure
- Plenary Panel on Disaster Preparedness
- Keynote: Big Data and Enterprise Analytics
- Rethinking Machine Learning In The 21st Century: From Optimization To Equilibration
- Single Page Apps with Ember.js
- Keynote: Transforming Education Through Technology
- Eye Movements in Biometrics and Human Computer Interaction
- Data Science
- Astronomy and Visualizations
- Big Data and Machine Learning
- Max-Violation Perceptron and Forced Decoding for Scalable MT Training
- Familiarity Does Not Breed Contempt: Diversity, Discrimination and Generosity in Delhi Schools
- Impact of Computer Science Research on Science, Technology, and Society
- Python+Machine Learning tutorial – Data munging for predictive modeling with pandas and scikit-learn
- Symposium: Deep Learning – Xiaogang Wang
- Symposium: Deep Learning – Leon Gatys
- Symposium: Brains, Minds and Machines – Surya Ganguli
- Posner Lecture: Probabilistic Machine Learning – Foundations and Frontiers
- Invited Talk: Learning with Intelligent Teacher: Similarity Control and Knowledge Transfer
- Tutorial: High-Performance Hardware for Machine Learning
- Making Sense of Temporal Queries with Interactive Visualization
- Oral Session: End-To-End Memory Networks
- Coalescence in Branching Trees and Branching Random Walks
- Oral Session: Deep Visual Analogy-Making
- Panel Discussion: The State of Audio Education in the Pacific Northwest
- Panel: Progress in AI: Myths, Realities, and Aspirations
- Juggling the Effects of Latency: Motion Prediction Approaches to Reducing Latency in Dynamic Project
- Panel 3: Measuring Content: Evaluation, Metrics and Measuring Impact
- Hackathon: Eye Gaze Wheelchair
- How to Write a Great Research Paper
- DNA Join circuit
- Bing Code Search Add-in for Visual Studio 2013
- Tutorial: Introduction to Reinforcement Learning with Function Approximation
- Tutorial: Deep Learning
- Tutorial: Monte Carlo Inference Methods
- Tutorial: Large-Scale Distributed Systems for Training Neural Networks
- Panel: Progress in AI: Myths, Realities, and Aspirations
- Python+Machine Learning tutorial – Data munging for predictive modeling with pandas and scikit-learn
- Tutorial: Introduction to Reinforcement Learning with Function Approximation
- Recent Advances in Deep Learning at Microsoft: A Selected Overview
- Juggling the Effects of Latency: Motion Prediction Approaches to Reducing Latency in Dynamic Project
- DNA Join circuit
- The Forza Motorsport 5 Original Soundtrack, An Insider’s View
- How to Write a Great Research Paper
- Towards Scalable Quantum Computation
- Tutorial: Large-Scale Distributed Systems for Training Neural Networks
- Tutorial: Monte Carlo Inference Methods
- Bing Code Search Add-in for Visual Studio 2013
- Near Future Laboratory
- Symposium: Deep Learning – Leon Gatys
- Hackathon: Eye Gaze Wheelchair
- Deep Learning for Text Processing
- Towards Understandable Neural Networks for High Level AI Tasks
- Symposium: Deep Learning – Xiaogang Wang
- Tutorial: High-Performance Hardware for Machine Learning
- Impact of Computer Science Research on Science, Technology, and Society
- An Algorithm for Precision Medicine
- Introduction to Machine Learning in Python with Scikit-Learn
- Modern Deep Learning through Bayesian Eyes
- NSF Interdisciplinary Workshop on Statistical NLP and Software Engineering – Session 7
- Approximate Majority algorithm
- Towards Zero Latency Photonic Switching
- DNA Strand Displacement
- Single Page Apps with Ember.js
- Synthetic Biology: New Tools for an Industry at an Inflection Point