| 201. | [Phoenics] A Bayesian Optimizer for Chemistry | AISC Author Speaking | 1 | |
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| 202. | [RecSys Challenge 2019 2nd Place] Robust Contextual Models for In-Session Personalization | AISC | 1 | |
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| 203. | AI Product Stream Meet and Greet | AISC | 1 | |
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| 204. | BERTology Meets Biology: Interpreting Attention in Protein Language Models | AISC | 1 | Vlog |
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| 205. | guess what's happening! | 1 | |
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| 206. | Restricted Boltzmann Machines for Collaborative Filtering | AISC | 1 | |
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| 207. | Jiri Stodulka- Data Scientist and Investor of Aggregate Intellect | 1 | |
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| 208. | Deep Learning for Symbolic Mathematics | AISC | 1 | |
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| 209. | High-frequency Component Helps Explain the Generalization of Convolutional Neural Networks | AISC | 1 | Let's Play |
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| 210. | Machine Learning and the Earth: Applying AI to address some of the world’s greatest challenges | 1 | |
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| 211. | Overview of Reinforcement Learning | AISC | 1 | |
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| 212. | Evidential Reasoning Rule Based Feature Selection | AISC | 1 | |
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| 213. | [SAGAN] Self-Attention Generative Adversarial Networks | TDLS | 1 | |
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| 214. | TDLS: Large-Scale Unsupervised Deep Representation Learning for Brain Structure | 1 | |
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| 215. | Compact Neural Representation Using Attentive Network Pruning | AISC | 1 | |
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| 216. | Getting into Reinforcement Learning - Fireside Chat | 1 | |
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| 217. | Location Intelligence Products: Goals and Challenges | AISC | 1 | |
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| 218. | Deep learning interpretation of echocardiograms | AISC | 1 | |
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| 219. | Recurrent Neural Network for Quantum Wave Function | AISC | 1 | |
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| 220. | State of Natural Language Processing in 2019 | AISC | 1 | |
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| 221. | EVE - Explainable Vector Embeddings - DRT S2E12 | 1 | |
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| 222. | [WeightWatcher] Self-Regularization in Deep Neural Networks: Evidence from Random Matrix Theory | 1 | |
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| 223. | LLM Live Book - Project Update - 2023-08-11 | 1 | Vlog |
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| 224. | [AI Product] How to build products people actually want to use | AISC | 1 | Guide |
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| 225. | SHERPA - Open Source Project Update, 2023-09-29 | 1 | Vlog |
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| 226. | Identifying Influential Individuals in Complex Networks: An Overview | AISC | 1 | |
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| 227. | Machine Learning in Blockchain - Deep Random Talks - Episode 11 | 1 | |
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| 228. | Hypothesis Generation with AGATHA : Accelerate Scientific Discovery with Deep Learning | AISC | 1 | |
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| 229. | Topological Deep Learning | 1 | Vlog |
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| 230. | Machine Learning for Cyber Security - Session 11 | 1 | |
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| 231. | How Can We Be So Dense? The Benefits of Using Highly Sparse Representations | AISC | 1 | |
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| 232. | Serina Chang: Understanding the spread of COVID-19 using Social Network Models | 1 | |
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| 233. | Explainable AI to Automate Loan Underwriting Decisions | AISC | 1 | |
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| 234. | Modern Innovations in Fine-Tuning Large Language Models | 1 | |
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| 235. | [RoBERT & ToBERT] Hierarchical Transformers for Long Document Classification | AISC | 1 | |
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| 236. | Operationalizing the AI Canvas for AI Product Success (and profit) | AISC | 1 | |
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| 237. | Multi-Armed Bandit Strategies for Non-Stationary Reward Distributions and Delayed Feedback Processes | 1 | |
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| 238. | Principal Neighbourhood Aggregation for Graph Nets | AISC | 1 | |
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| 239. | Running ML Experiments on the Edge | 1 | |
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| 240. | TDLS - Classics: SMOTE, Synthetic Minority Over-sampling Technique (algorithm) | 1 | |
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| 241. | AI for Fun! | 1 | |
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| 242. | Reinforcement learning in sports analytics | AISC | 1 | |
|
| 243. | LLM Starter Pack: A Pragmatic Guide to Success with the Large Language Models | 1 | |
|
| 244. | Screening and analysis of specific language impairment | AISC | 1 | |
|
| 245. | What is the Role of Data Quality and Diversity in LLM Systems? | 0 | |
|
| 246. | November 14, 2022 | 0 | |
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| 247. | The Business Impact and Challenges of Using Large Language Models | 0 | |
|
| 248. | LabDAO - Decentralized Marketplace for Research in Life Sciences - DRT S2E11 | 0 | |
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| 249. | Investing in Deep Tech - Investor's Angle; Deep Random Talks S2E8 - Ft. Moien Giashi, Amir Feizpour | 0 | |
|
| 250. | Second Brain for Technical Knowledge Management- DRT S2 E4 | 0 | |
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| 251. | Commercializing LLMs: Lessons and Ideas for Agile Innovation | 0 | |
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| 252. | Machine Learning and Empathy - Deep Random Talks - Episode 16 | 0 | |
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| 253. | Modern NLP: Walkthrough of Assignment 1-Session 4, part 4 | 0 | |
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| 254. | AI Product, Part 2: Frameworks | 0 | |
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| 255. | TalentDAO- How does decentralized scientific publishing work - Deep Random Talks S2E6 | 0 | |
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| 256. | Mathematics of Deep Learning: Linear Algebra II: matrices and eigendecomposition - Session 3 | 0 | |
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| 257. | Semi Supervised Learning - Session 4 | 0 | |
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| 258. | Machine Learning for Weather Forecast - Deep Random Talks - Episode 15 | 0 | |
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| 259. | Application of Bayesian neural networks for aircraft safety | AISC | 0 | |
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| 260. | Set Constrained Temporal Transformer for Set Supervised Action Segmentation | AISC | 0 | |
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| 261. | Machine Learning for Cyber Security - Session 15 | 0 | |
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| 262. | Detecting Off-Topic Spoken Response with NLP | AISC | 0 | Let's Play |
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| 263. | Reinforcement Learning: Introduction - Session 1 | 0 | |
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| 264. | Machine Learning for Cyber Security: Graph Theory - Session 12 | 0 | |
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| 265. | Uncertainty-Aware Action Advising for Deep Reinforcement Learning Agents | AISC | 0 | |
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| 266. | [MEM] Learning Permutation Invariant Representations using Memory Networks | AISC | 0 | |
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| 267. | Mathematics of Deep Learning: Linear Algebra I: tensors, matrices, dot product - Session 2 | 0 | |
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| 268. | DLIME - Let's dig into the code (model explainability stream) | 0 | |
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| 269. | Autonomous Experiments for Structural Design in 3d Printing | 0 | |
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| 270. | Reinforcement Learning: Q-Learning - Session 7 | 0 | |
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| 271. | Model Packaging Overview (NLP + MLOps workshop sneak peak) | 0 | Let's Play |
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| 272. | Inverse design of nanoporous crystalline reticular materials with deep generative models | AISC | 0 | |
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| 273. | Human-Machine Learning Systems: The Sum is Bigger than the Parts (with Professor Matthew Taylor) | 0 | |
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| 274. | A Deterministic Local Interpretable Model-Agnostic Explanations Approach for Computer-Aided Diagnosi | 0 | |
|
| 275. | Learning to Play Soccer by Reinforcement Learning | AISC | 0 | |
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| 276. | An algorithm for Bayesian optimization for categorical variables informed by physical intuition with | 0 | |
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| 277. | Superposition of Many Models into One | AISC | 0 | |
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| 278. | A Literature Review on ML in Climate Science | AISC | 0 | Review |
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| 279. | Statistical Issues in Agent-Based Models | AISC | 0 | |
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| 280. | Neural Models of Text Normalization for Speech Applications | AISC Author Speaking | 0 | |
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| 281. | Protein secondary structure detection in intermediate-resolution cryo-EM maps using deep learning | | 0 | |
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| 282. | Human-Technology Systems for Intelligent Civil Infrastructure Operation and Maintenance | AISC | 0 | Vlog |
|
| 283. | Machine Learning and Product Analytics - Deep Random Talks - Episode 12 | 0 | |
|
| 284. | COVID19 and AI: Ethics and Data Rights Panel | AISC & NYAI | 0 | Discussion |
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| 285. | Product Ideation: From a Hunch to a Concrete Idea | 0 | |
|
| 286. | Role of Human Factors in Adoption of Generative AI in Life Sciences | 0 | |
|
| 287. | Leveraging Language Models for Training Data Generation and Tool Learning | 0 | |
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| 288. | New methods for identifying latent manifold structure from neural data | ASIC | 0 | |
|
| 289. | Machine Learning for Cyber Security - Session 5 | 0 | |
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| 290. | LLMs, Gen AI and Stakeholder Buy-in | 0 | |
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| 291. | A review of ML for aerospace systems health management | AISC | 0 | Review |
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| 292. | Unfolding the Maze of Funding Deep Tech; Metafold - DRT S2E14 - Ft. Moien Giashi, Alissa ross | 0 | |
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| 293. | Inferring the 3D Standing Spine Posture from 2D Radiographs | AISC | 0 | |
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| 294. | [cnvrg.io] Operating System for Machine Learning | AISC | 0 | |
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| 295. | Mathematics of Deep Learning: Dropout- Session 10 | 0 | |
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| 296. | Building ResearchLLM: automated statistical research and interpretation | 0 | |
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| 297. | Reducing Gender Bias in Google Translate | Summary and Takeaways | AISC | 0 | |
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| 298. | Azure MLops- ML Pipelines- Session III, part 1 | 0 | |
|
| 299. | Paper review - Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey | AISC | 0 | Review |
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| 300. | Automated Deep Learning: Joint Neural Architecture and Hyperparameter Search (discussions) | AISC | 0 | Discussion |
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