201. | The Continuous Limit of Large Random Planar Maps | 1:42:18 | |
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202. | Cars, Computing and the Future of Work: A UW & MSR Workshop: Welcome and Overview | 1:42:17 | |
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203. | Botness 2016 - Welcome and Introductions | 1:42:07 | |
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204. | Plenary Session | 1:42:05 | |
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205. | Seven Years of Programming Radio | 1:41:54 | |
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206. | Interaction Design Projects for Health and Wellness | 1:41:44 | |
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207. | Digital Humanities 2: TextGrid / Large-Scale Music Analysis | 1:41:36 | |
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208. | Ultra-Low Power Computing Workshop 2014 - Ambiently Powered Devices | 1:41:34 | |
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209. | Database and Data Analytic Systems | 1:41:33 | |
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210. | Towards Provable Bounds for Machine Learning - Lecture 1 | 1:41:28 | |
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211. | Faceted Search and PivotViewer / HPC and Azure Cloud Computing | 1:41:25 | |
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212. | Faceted Search and PivotViewer / HPC and Azure Cloud Computing | 1:41:25 | |
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213. | Ultra-Low Power Computing Workshop 2014 - Sensing Systems | 1:41:21 | |
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214. | History, Boundaries, Best Practices, and Team-Based Workable Paths Forward | 1:41:13 | |
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215. | Developing Game-Themed Applications With XNA Game Studio: Session 2 | 1:41:13 | |
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216. | Tips for building a Windows Store Business Apps using XAML and C# | 1:41:12 | |
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217. | Erasure Codes for Big Data over Hadoop and Large-scale Sparse PCA for Twitter Analysis | 1:40:57 | |
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218. | Metric Rounding of LP Relaxations | 1:40:55 | Let's Play |
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219. | Cloud Futures -- Talk 5 | 1:40:49 | |
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220. | Introduction to large-scale optimization - Part 2 | 1:40:48 | |
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221. | Chinese Economic Growth: Past, Present and Future | 1:40:40 | |
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222. | Developing Physically-Based, Dynamic Vocal Tract Models Using ArtiSynth | 1:40:35 | |
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223. | Large Margin Generative Models | 1:40:33 | |
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224. | Northwest Probability Seminar - Session 2 | 1:40:32 | |
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225. | The Changing Landscape of Parallel Computing ΓÇô II | 1:40:21 | |
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226. | Functional Programming in the Wild | 1:40:03 | |
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227. | Functional Programming in the Wild | 1:40:03 | |
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228. | How To Write a Paper to Optimize its Chances for Publication Success, Part 2 | 1:40:00 | Guide |
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229. | Machine Learning Algorithms Workshop | 1:39:55 | |
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230. | Machine Learning Algorithms Workshop | 1:39:55 | |
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231. | How To Beat Cancer | 1:39:52 | |
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232. | Information from Data | 1:39:51 | Guide |
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233. | Information from Data | 1:39:51 | Guide |
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234. | Microsoft Research Reinforcement Learning Day 2021 | 1:39:50 | |
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235. | Quantum Rejection Sampling | 1:39:46 | |
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236. | Plenary Session | 1:39:28 | |
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237. | NSF Interdisciplinary Workshop on Statistical NLP and Software Engineering - Session 1 | 1:39:24 | |
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238. | Analytics-Analysis-Simulation | 1:39:17 | |
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239. | Azure SQL Spatial - Overview, Demos, and Tutorials | 1:39:11 | Tutorial |
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240. | AI Institute "Geometry of Deep Learning" 2019 [Workshop] Day 3 | Session 2 | 1:39:09 | |
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241. | NSF Interdisciplinary Workshop on Statistical NLP and Software Engineering - Session 2 | 1:39:04 | |
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242. | Botness 2016 - Day 1, Part 2: Unconference Session Report Backs, Afternoon Talks | 1:38:59 | |
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243. | PANEL: Technologies for Natural User Interactions | 1:38:57 | Vlog |
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244. | Keynote Talk: AI and Technology in Service of Society | 1:38:57 | Vlog |
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245. | MSR-IISc AI Seminar Series: Designing AI Systems w/Steerable Long-Term Dynamics - Thorsten Joachims | 1:38:56 | |
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246. | Reinforcement Learning: An Introduction | 1:38:38 | |
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247. | Closing Keynote Session on Open Source | 1:38:32 | |
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248. | Filtering and the Primal-Dual Method - Part 2 | 1:38:31 | |
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249. | Oral Session 3 | 1:38:25 | |
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250. | Local Search | 1:38:25 | |
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251. | Graph Drawing 2012 Day 1 - Session 3 | 1:38:23 | |
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252. | Workshop on Quantum Algorithms and Devices - Part 4 | 1:38:16 | |
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253. | Spoken Dialogue Systems - Personal Assistants and Non-Task Oriented Systems | 1:38:14 | Vlog |
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254. | An Introduction To Distributed Computing | 1:38:07 | |
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255. | Which Supervised Learning Method Works Best for What?  An Empirical Comparison | 1:38:04 | |
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256. | What Drives Curiosity? Robotics Technologies on the Mars Science Rover | 1:38:03 | |
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257. | eScience Tutorial: Windows HPC Server 2008 | 1:38:00 | |
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258. | Sound Capture and Speech Enhancement for Communication and Distant Speech Recognition | 1:37:59 | |
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259. | Towards Provable Bounds for Machine Learning - Lecture 2 Part 1 | 1:37:56 | |
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260. | OSIsoft PI System Overview | 1:37:56 | |
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261. | Easy Generation and Efficient Verification of Unsatisfiability Proofs | 1:37:53 | |
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262. | Computational Aspects of Biological Information Workshop Session 2 | 1:37:51 | |
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263. | AstroInformatics 2012: Day 3 Session 4 (Open Discussion) | 1:37:51 | Discussion |
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264. | Distributed Machine Learning Algorithms: Communication-Computation Trade-offs - Part 1 | 1:37:50 | |
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265. | Social Media Platforms and the Curation of Public Culture | 1:37:49 | |
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266. | Systems 3 | 1:37:49 | |
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267. | Provable Non-convex Projections for High-dimensional Learning Problems -Part2 | 1:37:45 | |
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268. | Generating Internal Representations through Interactions with the Real-World Environments | 1:37:41 | |
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269. | Toward the next generation interaction space: Tangible Space Initiative | 1:37:34 | |
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270. | Towards Understandable Neural Networks for High Level AI Tasks - Part 6 | 1:37:32 | |
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271. | Towards Understandable Neural Networks for High Level AI Tasks - Part 6 | 1:37:32 | |
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272. | A Voice-Enabled Procedure Navigator for the International Space Station | 1:37:27 | |
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273. | Advances in AI and the Future of Work: Perspectives and Discussion | 1:37:27 | Discussion |
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274. | Relational Databases in the Social and Health Sciences: The View from Demography | 1:37:24 | |
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275. | Techniques for ML Model Transparency and Debugging | 1:37:20 | |
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276. | codeShow for Windows 8.1 | 1:37:13 | Show |
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277. | eScience Workshop 2005 - Grid Computing Using .NET | 1:37:11 | |
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278. | History of Women in Computing and Women Leaders in Computing | 1:37:10 | |
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279. | Online Learning and Bandits - Part 1 | 1:37:06 | |
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280. | Modern Programming for and via the Web Browser | 1:37:02 | |
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281. | AI Institute "Geometry of Deep Learning" 2019 [Workshop] Day 1 | Session 4 | 1:36:49 | |
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282. | Towards Provable Bounds for Machine Learning - Lecture 4 | 1:36:49 | |
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283. | Applications 1 | 1:36:47 | |
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284. | How to Approximate it? Introduction and Greedy Algorithms - Part 1 | 1:36:43 | |
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285. | Semantic Knowledge for Commodity Computing: Myth or Reality? Information and Knowledge Acquisition | 1:36:39 | |
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286. | Frontiers in Machine Learning: Saving Lives with Interpretable ML | 1:36:37 | |
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287. | Symmetry-Based Learning | 1:36:36 | |
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288. | Recent and Future Advances in Ocean Color Remote Sensing | 1:36:33 | |
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289. | Knowledge Infrastructure: Mechanism and Transformation in the Information Revolution | 1:36:31 | Guide |
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290. | Open Data for Open Science - An Environmental Informatics Workshop (part 2) | 1:36:29 | |
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291. | Semantic Knowledge for Commodity Computing: Focus on Information Mining and Intelligence | 1:36:28 | |
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292. | Welcome to our Home, Stranger! Notions of Networked Privacy in the Context of Couchsurfing.org | 1:36:24 | |
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293. | Large-scale Linear and Kernel Classification - Part 1 | 1:36:24 | |
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294. | SITI 2022 - Panel Discussion and moderated Q&A session | 1:36:23 | Discussion |
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295. | Towards Understandable Neural Networks for High Level AI Tasks - Part 7 | 1:36:22 | |
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296. | Towards Understandable Neural Networks for High Level AI Tasks - Part 7 | 1:36:22 | |
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297. | AI Institute "Geometry of Deep Learning" 2019 [Workshop] Day 1 | Session 2 | 1:36:18 | |
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298. | HMM-based Speech Synthesis: Fundamentals and Its Recent Advances | 1:36:17 | |
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299. | Looking Over the Horizon: How Basic Research Helps Everyone | 1:36:10 | |
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300. | P2P and Online Social Networking Research at Mirage Group | 1:36:07 | |
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