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International Conference on Machine Learning 2014International Conference on Machine Learning
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CVPR Vision meets Cognition Workshop 2014
With the emergence of new technologies, including Kinect, Google Glasses, and autonomous driving, Computer Vision is about to play a key role in human daily life. The massive presence of sensors in a wide range of contexts demands an expansion in the scope of image understanding by answering queries beyond "what is where". The missions of this workshop are therefore to (a) identify the key domains in the new scope; (b) recognize the computational challenges in these domains; and (c) provide promising frameworks for solving these challenges.
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WritersUA West 2014
The Conference for Software User Assistance was held in Seattle, WA.
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NYU Course on Machine Learning and Computational Statistics 2014
Machine learning is an exciting and fast-moving field at the intersection of computer science, statistics, and optimization with many recent consumer applications (e.g., Microsoft Kinect, Google Translate, Iphone's Siri, digital camera face detection, Netflix recommendations, Google news). Machine learning and computational statistics also play a central role in data science. In this graduate-level class, students will learn about the theoretical foundations of machine learning and computational statistics and how to apply these to solve new problems. This is a required course for the MS in Data Science and should be taken in the first year of study; it is also suitable for MS and Ph.D. students in Computer Science and related fields (see pre-requisites below).
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NYU Course on Big Data (Spring 2014)
Big Data requires the storage, organization, and processing of data at a scale and efficiency that go well beyond the capabilities of conventional information technologies. In this course, we will study the state of the art in big data management: we will learn about algorithms, techniques and tools needed to support big data processing. In addition, we will examine real applications that require massive data analysis and how they can be implemented on Big Data platforms. The course will consist of lectures based both on textbook material and scientific papers. It will also include programming assignments that will provide students with hands-on experience on building data-intensive applications using existing Big Data platforms, including Amazon AWS. Besides lectures given by the instructor, we will also have guest lectures by experts in some of the topics we will cover.
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NYU Course on Deep Learning (Spring 2014)
This is a graduate course on deep learning, one of the hottest topics in machine learning and AI at the moment. In the last two or three years, Deep learning has revolutionized speech recognition and image recognition. Deep learning is widely deployed by such companies as Google, Facebook, Microsoft, IBM, Baidu, Apple and others for audio/speech, image, video, and natural language processing.
- Recent Events
- Deep Learning (DS-GA 1008)
- Programming for Data Science (DS-GA 1007)
- Machine Learning (DS-GA 1003)
- AAAI 2015 Oral Talks
- FOCS 2014
- Capstone Project and Presentation Lectures
- Inference and Representation Labs
- Inference and Representation Lectures
- Programming for Data Science Lectures
- Statistical and Mathematical Methods Lectures
- International Conference on Machine Learning 2014
- ACL 2014
- CVPR Vision meets Cognition Workshop 2014
- CVPR 2014 Oral Talks
- CVPR 2014 Video Spotlights
- Seventeenth International Conference on Artificial Intelligence and Statistics (AISTATS) 2014
- WritersUA West 2014
- NYU Course on Machine Learning and Computational Statistics 2014
- NYU Course on Big Data (Spring 2014)
- NYU Course on Deep Learning (Spring 2014)
- LxMLS 2013
- FOCS 2013
- WritersUA East 2013
- ICCV 2013
- NYU Course on Scientific Computing
- NYU Course on Statistical and Mathematical Methods
- Inferning 2013
- ICRA 2013 Orals and Tutorials
- CVPR 2013
- AAAI 2013 Tutorials
- NAACL 2013
- ICML 2013
- CVPR 2013 Track 4
- CVPR 2013 Track 3
- CVPR 2013 Track 2
- CVPR 2013 Track 1
- ICML 2013 Plenary Webcast
- Vator Splash LA 2013
- International Conference on Learning Representations (ICLR) 2013
- Sixteenth International Conference on Artificial Intelligence and Statistics (AISTATS) 2013
- CVPR 2013 Webcast
- Columbia-Princeton Probability Day 2013
- ICRA 2013 Plenary Talks
- Vator Splash SFO Feb 2013
- WritersUA 2013
- Testing
- NYU Course on Big Data, Large Scale Machine Learning
- 2nd Lisbon Machine Learning School (2012)
- Machine Learning in Computational Biology (MLCB) 2012
- NIPS 2012 Workshop on Log-Linear Models
- Big Learning : Algorithms, Systems, and Tools
- Big Data Meets Computer Vision: First International Workshop on Large Scale Visual Recognition and Retrieval
- OpenCV using Python
- IPC–SMTA High-Reliability Cleaning and Conformal Coating Conference 2012
- The Website Is The App (And Vice Versa)
- Vator Splash NY 2012
- FOCS 2012
- Building Meaningful Customer Experiences
- How to start a startup as a non-technical founder
- Green Initiatives Conference and Expo 2012
- FailCon 2012
- Other ICML 2012 Tutorials
- Performance Evaluation for Learning Algorithms: Techniques, Application and Issues
- Spectral Approaches to Learning Latent Variable Models
- PAC-Bayesian Analysis in Supervised, Unsupervised, and Reinforcement Learning
- ICML 2012 Tutorial on Prediction, Belief, and Markets
- Tutorial on Causal inference - conditional independences and beyond
- Tutorial on Statistical Learning Theory in Reinforcement Learning and Approximate Dynamic Programming
- ICML 2012 Invited Talks
- Object, functional and structured data: towards next generation kernel-based methods - ICML 2012 Workshop
- Inferning 2012: ICML Workshop on interaction between Inference and Learning
- ICML 2012 Workshop on Representation Learning
- ICML 2012 Workshop on New Challenges for Exploration & Exploitation 3
- Conference on Learning Theory
- Plenary talks from ICRA 2012
- New design principles and frontiers for Wearable robotics
- Semantic Perception and Mapping for Knowledge-enabled Service Robotics
- Industry-Academia collaboration in the ECHORD project: a bridge for European robotic innovation
- Modular Surgical Robotics: how can we make it possible?
- Stochastic Geometry in SLAM
- Workshop on Long-term Autonomy II
- Conditions for Replicable Experiments and Performance Comparison in Robotics Research
- Bio Assembler for 3D Cellular System Innovation
- The Future of HRI - Paving the way to next generation of HRI
- 2nd Workshop on Semantic Perception, Mapping and Exploration (SPME)
- Robotic Satellite Servicing
- Robotics and Performing Arts: Reciprocal influences
- Haptic Teleoperation of Mobile Robots: Theory, Applications and Perspectives
- 7th Full-day Workshop on Software Development and Integration in Robotics (SDIR-VII)
- Many-Robot Systems: Crossing the Reality Gap
- Bio-Bots
- Variable Impedance Actuators Moving the Robots of Tomorrow
- Tutorial: Reinforcement Learning for Robotics and Control
- Tutorial: Advanced 3D Point Cloud Processing with Point Cloud Library (PCL)
- Tutorial: Motion Planning for Dynamic Environments
- IEEE IPDPS 2012
- IEEE CVPR 2012
- Annual Healthcare IT Conference 2012
- Technical session talks from ICRA 2012
- NASA FAP 2012 Technical Conference/Subsonic Fixed Wing Project Track
- 26th IEEE International Parallel & Distributed Processing Symposium
- IEEE Computer Vision and Pattern Recognition (CVPR) 2012
- ICML 2012 Oral Talks (International Conference on Machine Learning)
- Big Learning: Algorithms, Systems, and Tools for Learning at Scale
- The 4th International Workshop on Music and Machine Learning: Learning from Musical Structure
- Sparse Representation and Low-rank Approximation
- Learning Semantics Workshop
- Domain Adaptation Workshop: Theory and Application
- Machine Learning in Computational Biology (MLCB) 2011
- NIPS 2011 Workshop on Integrating Language and Vision
- Copulas in Machine Learning Workshop 2011
- 1st Lisbon Machine Learning School
- FOCS 2011
- Mobile Health Conference 2011
- IEEE Workshop on Applications of Signal Processing to Audio and Acoustics
- Venture Shift New York Webcast
- Sixth Annual Machine Learning Symposium
- IJCB2011
- Green Initiatives Conference 2011
- ICML 2011
- Clinical Informatics Summit 2011
- IEEE CVPR 2011
- IEEE IPDPS 2011
- EduPar 2011
- Healthcare IT Conference 2011
- IEEE FOCS 2010
- 2010 North American Association For Environmental Education Conference
- Advanced Operating Systems from GaTech
- KDD 2010
- INCOSE 2010
- Clinical Informatics Summit 2010
- 24th IEEE International Parallel and Distributed Processing Symposium
- Claremont Health Informatics Workshop 2010