| 201. | Supercharging AI with high performance distributed computing | 690 | |
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| 202. | Integrating LLMs into Your Product: Considerations and Best Practices | 674 | |
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| 203. | GNN-TOX: Graph Neural Nets to Make Drug Discovery Cheaper | 672 | |
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| 204. | Meta-Graph: Few-Shot Link Prediction Using Meta-Learning | AISC | 664 | |
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| 205. | Machine Learning for Cyber Security - Session 19 | 663 | |
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| 206. | [DQN] Human-level control through deep reinforcement learning (discussions) | AISC Foundational | 662 | Discussion |
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| 207. | Serina Chang: Understanding the spread of COVID-19 using Social Network Models | 661 | |
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| 208. | Key Learnings from Building AI Agents: How Open Source Shaped Our Architecture | 658 | |
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| 209. | DeepStack: Expert-Level Artificial Intelligence in Heads-Up No-Limit Poker | AISC | 657 | |
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| 210. | Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthe | 656 | |
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| 211. | AI Product, Part 1: Principles | 649 | |
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| 212. | Building products for Continous Delivery in Machine Learning | AISC | 648 | |
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| 213. | Memory-Based Graph Networks | AISC | 647 | |
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| 214. | Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT | AISC | 643 | |
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| 215. | Superposition of Many Models into One | AISC | 642 | |
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| 216. | [cnvrg.io] Operating System for Machine Learning | AISC | 636 | |
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| 217. | News ScanNER: Entity Tagging in News Headlines | Deep Learning Workshop Capstone | 635 | |
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| 218. | Review Nuggets - Mining Insight from Consumer Product Reviews | Workshop Capstone | 630 | Review |
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| 219. | How Can We Be So Dense? The Benefits of Using Highly Sparse Representations | AISC | 630 | |
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| 220. | Hypothesis Generation with AGATHA : Accelerate Scientific Discovery with Deep Learning | AISC | 624 | |
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| 221. | RecSys, Reverse Engineering User's Needs and Desires | AISC | 614 | |
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| 222. | What is Wrong with Explainable AI? | AISC | 613 | |
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| 223. | [AI Product] How to build products people actually want to use | AISC | 612 | Guide |
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| 224. | How goodness metrics lead to undesired recommendations | 611 | |
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| 225. | Reinforcement Learning for Batch-to-Batch Bioprocess Optimisation | AISC | 610 | |
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| 226. | FineGym: A Hierarchical Video Dataset for Fine-grained Action Understanding | 606 | |
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| 227. | Towards Interpretable Deep Neural Networks by Leveraging Adversarial Examples | AISC | 604 | |
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| 228. | Modern Knowledge Management in 2022 - Deep Random Talks S2E7 | 603 | |
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| 229. | A Survey of Singular Learning | AISC | 598 | |
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| 230. | XAI for LLMs: looking under the hood of Large Language Models | 597 | |
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| 231. | Structured Neural Summarization | AISC Lunch & Learn | 596 | |
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| 232. | Defending Against Fake Neural News | AISC | 592 | |
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| 233. | Deploying a News Summarizer RSS Feed App | NLP Workshop Capstone | 583 | Let's Play |
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| 234. | The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies | 581 | |
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| 235. | (Original Paper) Latent Dirichlet Allocation (discussions) | AISC Foundational | 572 | Discussion |
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| 236. | ChatGPT - the Chatbot that Follows Instructions - DRT S2E9 | 567 | Tutorial |
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| 237. | XAI with Monotonic Constraints & Interaction Constraints | 567 | |
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| 238. | [MEM] Learning Permutation Invariant Representations using Memory Networks | AISC | 562 | |
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| 239. | New methods for identifying latent manifold structure from neural data | ASIC | 558 | |
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| 240. | Prediction of Cardiac arrest from physiological signals in the pediatric ICU | TDLS Author Speaking | 557 | Vlog |
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| 241. | Built Multi-agent LLM Products - Bootcamp Teaser | 555 | |
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| 242. | DrWhy.AI - Tools for Explainable Artificial Intelligence | AISC | 553 | |
|
| 243. | 5-min [machine learning] paper challenge | AISC | 542 | |
|
| 244. | Model Selection for Optimal Prediction in Statistical Learning (Part 1: 7 Wheels of Stat Learning) | 540 | |
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| 245. | An algorithm for Bayesian optimization for categorical variables informed by physical intuition with | 540 | |
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| 246. | Improving Supervised Bilingual Mapping of Word Embeddings | TDLS | 538 | |
|
| 247. | Generating High Fidelity Images with Subscale Pixel Networks and Multidimensional Upscaling | 535 | |
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| 248. | Model Packaging Overview (NLP + MLOps workshop sneak peak) | 535 | Let's Play |
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| 249. | Modern Innovations in Fine-Tuning Large Language Models | 534 | |
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| 250. | Benchmarking and Survey of Explanation Methods for Black Box Models | AISC | 532 | |
|
| 251. | Reinforcement Learning in the Real World (with Professor Matthew Taylor) | 531 | |
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| 252. | Reinforcement Learning: Introduction - Session 1 | 527 | |
|
| 253. | NLP on Noisy User-generated text - NER for StackOverflow | AISC | 525 | Let's Play |
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| 254. | A Survey on the Explainability of Supervised Machine Learning | 522 | |
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| 255. | [Phoenics] A Bayesian Optimizer for Chemistry | AISC Author Speaking | 522 | |
|
| 256. | An Introduction to Quantum Computing | 520 | |
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| 257. | ACT: Adaptive Computation Time for Recurrent Neural Networks | AISC | 517 | |
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| 258. | Reconstructing quantum states with generative models | TDLS Author Speaking | 517 | |
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| 259. | Deep learning interpretation of echocardiograms | AISC | 515 | |
|
| 260. | Machine Learning in Blockchain - Deep Random Talks - Episode 11 | 515 | |
|
| 261. | Investigating Anti-Muslim Bias in GPT-3 | 513 | |
|
| 262. | Machine Learning for Weather Forecast - Deep Random Talks - Episode 15 | 509 | |
|
| 263. | Overview of Synthetic Data and Simulations | AISC | 508 | |
|
| 264. | Large Language Models, AI Ethics, and Community-led Science - Deep Random Talks - Episode 19 | 505 | |
|
| 265. | Logeo: Automatically Transform 2D Designs to 3D | 504 | Vlog |
|
| 266. | High-frequency Component Helps Explain the Generalization of Convolutional Neural Networks | AISC | 502 | Let's Play |
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| 267. | A Literature Review on ML in Climate Science | AISC | 501 | Review |
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| 268. | Learning to Play Soccer by Reinforcement Learning | AISC | 499 | |
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| 269. | SELFIES: A 100% robust representation of semantically constrained Graphs, for deep generative models | 498 | |
|
| 270. | Program Language Translation Using a Grammar-Driven Tree-to-Tree Model | TDLS | 497 | |
|
| 271. | How to Track Objects in Videos with Self-supervised Techniques | AISC | 492 | Guide |
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| 272. | A Literature Review on ML in Neuroscience - Introducing new AISC Stream | AISC | 492 | Review |
|
| 273. | Breaking the Softmax Bottleneck via Learnable Monotonic Pointwise Non-linearities | AISC | 491 | |
|
| 274. | Recurrent Neural Network for Quantum Wave Function | AISC | 489 | |
|
| 275. | Deep Unsupervised Learning for Climate Informatics | 488 | |
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| 276. | Building AI Products; The Journey | Overview | 488 | |
|
| 277. | DeSci Labs: Creating A Backend For Scientific Papers - Deep Random Talks S2 E1 | 486 | |
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| 278. | Building a better climate model with Machine Learning | AISC | 483 | |
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| 279. | The Synthesizability of Molecules Proposed by Generative Models | AISC | 480 | |
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| 280. | Overview of Reinforcement Learning | AISC | 480 | |
|
| 281. | Evidential Reasoning Rule Based Feature Selection | AISC | 478 | |
|
| 282. | Daniel Lemire: The research paper should NOT be the final product | AISC | 474 | |
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| 283. | Customer reviews summarization with Seq2Seq architecture and attention | NLP Workshop Capstone | 472 | Let's Play |
|
| 284. | Content Tree Word Embedding for document representation | AISC | 472 | |
|
| 285. | Dealing with Bias and Fairness in Data Science Systems: A Practical Hands-on Tutorial | AISC | 471 | Preview |
|
| 286. | Mathematics of Deep Learning: Chain Rule, Backpropagation & Autograd - Session 13 | 470 | |
|
| 287. | Cognitive Model Priors for Predicting Human Decisions | AISC | 463 | |
|
| 288. | Knowledge Extraction from Multimodal & Multilingual sources | AISC | 463 | |
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| 289. | Practical Transformers - Natural Language Processing | Learning Package Overview | 462 | |
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| 290. | [OpenAI] Solving Rubik's Cube with a Robot Hand | AISC | 461 | |
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| 291. | Annotating Object Instances With a Polygon RNN | AISC | 455 | |
|
| 292. | Mathematics of Deep Learning: Linear Algebra I: tensors, matrices, dot product - Session 2 | 452 | |
|
| 293. | Similarity Search for Efficient Active Learning and Search of Rare Concepts | AISC | 450 | |
|
| 294. | Nvidia's RAPIDS.ai: Massively Accelerated Modern Data-Science | AISC | 445 | |
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| 295. | A Framework for Developing Deep Learning Classification Models | 443 | |
|
| 296. | Optimizing Large Language Models with Reinforcement Learning-Based Prompts | 441 | |
|
| 297. | Paper review - Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey | AISC | 437 | Review |
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| 298. | Consistency by Agreement in Zero-shot Neural Machine Translation | AISC | 436 | |
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| 299. | Identifying Big ML product opportunities inside Big organizations | AISC | 436 | |
|
| 300. | Computational prediction of diagnosis & feature selection on mesothelioma patient records | AISC | 428 | |
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