| 101. | Learning Discrete Structures for Graph Neural Networks | AISC | 2 | |
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| 102. | TensorFuzz: Debugging Neural Networks with Coverage-Guided Fuzzing | AISC | 2 | Guide |
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| 103. | The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies | 2 | |
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| 104. | Automated Vulnerability Detection in Source Code Using Deep Learning (algorithm) | AISC | 2 | |
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| 105. | Interpretable Neural Networks for Panel Data Analysis in Economics | AISC | 2 | |
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| 106. | 5-min [machine learning] paper challenge | AISC | 2 | |
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| 107. | AI, Democracy, & Disinformation | 2 | Guide |
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| 108. | Optimizing Large Language Models with Reinforcement Learning-Based Prompts | 2 | |
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| 109. | [XAI] Explainable AI in Retail | AISC | 2 | |
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| 110. | Saramsh - Patent Document Summarization using BART | Workshop Capstone | 2 | |
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| 111. | Explainable AI, Session 4: Intro to LIME | 2 | |
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| 112. | ChatGPT - the Chatbot that Follows Instructions - DRT S2E9 | 2 | Tutorial |
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| 113. | New Directions in Computer Vision | 2 | |
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| 114. | Building a better climate model with Machine Learning | AISC | 2 | |
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| 115. | Building a Quantum Computer with Trapped Ions | 2 | |
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| 116. | Data-Driven Behavior Change and Personalization - DRT S2E10 | 2 | |
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| 117. | Deploying a News Summarizer RSS Feed App | NLP Workshop Capstone | 2 | Let's Play |
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| 118. | Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT | AISC | 2 | |
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| 119. | Neural Image Caption Generation with Visual Attention (algorithm) | AISC | 2 | |
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| 120. | [Gated-SCNN] Gated Shape CNNs for Semantic Segmentation | 2 | |
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| 121. | Top-K Off-Policy Correction for a REINFORCE Recommender System | AISC | 2 | |
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| 122. | [hgraph2graph] Hierarchical Generation of Molecular Graphs using Structural Motifs | AISC Spotlight | 2 | |
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| 123. | Layerwise Learning for Quantum Neural Networks | AISC | 2 | |
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| 124. | Steve Brunton: Machine Learning for Fluid Dynamics | 2 | |
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| 125. | Climate Risk Exposure Analysis Machine | 2 | |
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| 126. | Gossip-based Actor-Learner Architectures for Deep Reinforcement Learning | AISC | 2 | |
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| 127. | Automated Vulnerability Detection in Source Code Using Deep Learning (discussions) | AISC | 2 | Discussion |
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| 128. | How to Annotate Data for LLM Applications | 1 | Guide |
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| 129. | Semi Supervised Learning: Introduction - Session 1 | 1 | |
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| 130. | LLM Live Book - Project Update - 2023-08-11 | 1 | Vlog |
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| 131. | Visualizing Data using t-SNE (algorithm) | AISC Foundational | 1 | |
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| 132. | LLM Starter Pack: A Pragmatic Guide to Success with the Large Language Models | 1 | |
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| 133. | A Fireside Chat with AISC NLP experts | 1 | Let's Play |
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| 134. | AI Product Stream Meet and Greet | AISC | 1 | |
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| 135. | End to end recommender engine using Amazon Glue and SageMaker - Use Case for Data Scientists | AISC | 1 | |
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| 136. | Identifying Influential Individuals in Complex Networks: An Overview | AISC | 1 | |
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| 137. | Learn about Foodshake and it’s vegan recipes! | 1 | |
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| 138. | Running ML Experiments on the Edge | 1 | |
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| 139. | Design for Augmentation (not Automation) | AISC | 1 | |
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| 140. | TMLS2017: Transitioning to Data Science, Panel Discussion | 1 | Discussion |
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| 141. | The Emergence of KnowledgeOps | 1 | |
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| 142. | Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthe | 1 | |
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| 143. | Reinforcement learning in sports analytics | AISC | 1 | |
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| 144. | Quantum generative adversarial networks | TDLS Author Speaking | 1 | |
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| 145. | Semi Supervised Learning - Session 12 | 1 | |
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| 146. | Benchmarking and Survey of Explanation Methods for Black Box Models | AISC | 1 | |
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| 147. | Data exploration – can machine learning discover new drugs? | AISC | 1 | |
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| 148. | Graph Neural Networks, Session 4: Simple Graph Convolution | 1 | |
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| 149. | Screening and analysis of specific language impairment | AISC | 1 | |
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| 150. | [Word2Bits] Quantized Word Vectors | AISC | 1 | |
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| 151. | [RecSys Challenge 2019 2nd Place] Robust Contextual Models for In-Session Personalization | AISC | 1 | |
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| 152. | Explainable Neural Networks based on Additive Index Models | TDLS | 1 | |
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| 153. | DrWhy.AI - Tools for Explainable Artificial Intelligence | AISC | 1 | |
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| 154. | NLP on Noisy User-generated text - NER for StackOverflow | AISC | 1 | Let's Play |
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| 155. | Getting into Reinforcement Learning - Fireside Chat | 1 | |
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| 156. | Evidential Reasoning Rule Based Feature Selection | AISC | 1 | |
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| 157. | Restricted Boltzmann Machines for Collaborative Filtering | AISC | 1 | |
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| 158. | Recurrent Neural Network for Quantum Wave Function | AISC | 1 | |
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| 159. | Compact Neural Representation Using Attentive Network Pruning | AISC | 1 | |
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| 160. | Modern Innovations in Fine-Tuning Large Language Models | 1 | |
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| 161. | Evaluation of Multimodal RAG Systems using the LlamaIndex | 1 | |
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| 162. | Location Intelligence Products: Goals and Challenges | AISC | 1 | |
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| 163. | Machine Learning in Environmental Science and Prediction: An Overview | AISC | 1 | |
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| 164. | Evaluating Performance of Large Language Models with Linguistics - Deep Random Talks S2E5 | 1 | |
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| 165. | [WeightWatcher] Self-Regularization in Deep Neural Networks: Evidence from Random Matrix Theory | 1 | |
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| 166. | Deep learning interpretation of echocardiograms | AISC | 1 | |
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| 167. | Multi-Armed Bandit Strategies for Non-Stationary Reward Distributions and Delayed Feedback Processes | 1 | |
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| 168. | Incorporating Large Language Models into Enterprise Analytics | 1 | |
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| 169. | State of Natural Language Processing in 2019 | AISC | 1 | |
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| 170. | Graph Normalizing Flows | 1 | |
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| 171. | Machine Learning in Mobile Cybersecurity: An Overview | 1 | |
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| 172. | TDLS - Classics: SMOTE, Synthetic Minority Over-sampling Technique (algorithm) | 1 | |
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| 173. | MLOps: Introduction/Overview, Session 1, part 1 | 1 | |
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| 174. | EVE - Explainable Vector Embeddings - DRT S2E12 | 1 | |
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| 175. | A Survey of Singular Learning | AISC | 1 | |
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| 176. | GrowNet: Gradient Boosting Neural Networks | AISC | 1 | |
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| 177. | Human Feedback Foundation - LLMs | 1 | |
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| 178. | Overview of Machine Learning for Knowledge Graphs | AISC | 1 | |
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| 179. | [AI Product] How to build products people actually want to use | AISC | 1 | Guide |
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| 180. | ACAI: Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer | 1 | |
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| 181. | BERTology Meets Biology: Interpreting Attention in Protein Language Models | AISC | 1 | Vlog |
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| 182. | 5 Commandments of Building LLM Products | 1 | |
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| 183. | ChemOS: An orchestration software to democratize autonomous discovery | AISC | 1 | |
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| 184. | Jiri Stodulka- Data Scientist and Investor of Aggregate Intellect | 1 | |
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| 185. | High-frequency Component Helps Explain the Generalization of Convolutional Neural Networks | AISC | 1 | Let's Play |
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| 186. | Which Open-source LLM to Choose for Your Task? | 1 | |
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| 187. | Acetock - Stock Prediction Tool for Amateur Investors | Workshop Capstone | 1 | |
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| 188. | Machine Learning and the Earth: Applying AI to address some of the world’s greatest challenges | 1 | |
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| 189. | Private Investing in Deep Tech - DRT - S2 bonus ep - Ft. Moien Giashi, Darryl Kirsch, Hessie Jones | 1 | |
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| 190. | Lookahead Optimizer: k steps forward, 1 step back | 1 | |
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| 191. | TF-Encrypted: Private machine learning in tensorflow with secure computing | AISC Lunch & Learn | 1 | |
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| 192. | [SAGAN] Self-Attention Generative Adversarial Networks | TDLS | 1 | |
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| 193. | You May Not Need Attention | TDLS Code Review | 1 | Review |
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| 194. | Neural Ordinary Differential Equations - part 2 (results & discussion) | AISC | 1 | Discussion |
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| 195. | A Style-Based Generator Architecture for Generative Adversarial Networks | 1 | |
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| 196. | SHERPA - Open Source Project Update, 2023-09-29 | 1 | Vlog |
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| 197. | Machine Learning in Blockchain - Deep Random Talks - Episode 11 | 1 | |
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| 198. | guess what's happening! | 1 | |
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| 199. | Hypothesis Generation with AGATHA : Accelerate Scientific Discovery with Deep Learning | AISC | 1 | |
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| 200. | Machine Learning for Cyber Security - Session 11 | 1 | |
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