| 101. | [RecSys 2018 Challenge winner] Two-stage Model for Automatic Playlist Continuation at Scale |TDLS | 2 | |
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| 102. | [Gated-SCNN] Gated Shape CNNs for Semantic Segmentation | 2 | |
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| 103. | Tobias Pfaff (DeepMind): Learning to Simulate Complex Physics with Graph Networks | 2 | |
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| 104. | Interpretable Neural Networks for Panel Data Analysis in Economics | AISC | 2 | |
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| 105. | TensorFuzz: Debugging Neural Networks with Coverage-Guided Fuzzing | AISC | 2 | Guide |
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| 106. | The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies | 2 | |
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| 107. | Plug and Play Language Models: A Simple Approach to Controlled Text Generation | AISC | 2 | |
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| 108. | Neural Image Caption Generation with Visual Attention (algorithm) | AISC | 2 | |
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| 109. | Layerwise Learning for Quantum Neural Networks | AISC | 2 | |
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| 110. | AI, Democracy, & Disinformation | 2 | Guide |
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| 111. | [XAI] Explainable AI in Retail | AISC | 2 | |
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| 112. | Saramsh - Patent Document Summarization using BART | Workshop Capstone | 2 | |
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| 113. | Fooling LIME and SHAP: Adversarial Attacks on Post hoc Explanation Methods | AISC | 2 | |
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| 114. | New Directions in Computer Vision | 2 | |
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| 115. | Multi Type Mean Field Reinforcement Learning | AISC | 2 | |
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| 116. | Da Xu (Walmart Labs): Inductive Representation Learning on Temporal Graphs | AISC | 2 | |
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| 117. | Gossip-based Actor-Learner Architectures for Deep Reinforcement Learning | AISC | 2 | |
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| 118. | MLOps: Overview of Machine Learning Operations on the Cloud | AISC | 2 | |
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| 119. | TDLS - Announcing Fast Track Stream | 2 | |
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| 120. | Climate Risk Exposure Analysis Machine | 2 | |
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| 121. | 'Less Than One'-Shot Learning (author speaking) | 2 | |
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| 122. | Automated Vulnerability Detection in Source Code Using Deep Learning (algorithm) | AISC | 2 | |
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| 123. | Trusted Text Classification from Concept to Deployment | NLP Workshop Capstone | 2 | Let's Play |
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| 124. | Graph Neural Networks, Session 2: Graph Definition | 2 | |
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| 125. | Learning Mesh-Based Simulation with Graph Networks - Tobias Pfaff (DeepMind) | 2 | |
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| 126. | Deep Learning in Healthcare and Its Practical Limitations | 2 | |
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| 127. | Integrating Physics into Machine Learning Models for Scientific Discovery | AISC | 2 | |
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| 128. | Evidential Reasoning Rule Based Feature Selection | AISC | 1 | |
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| 129. | LLM Live Book - Project Update - 2023-08-11 | 1 | Vlog |
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| 130. | Topological Deep Learning | 1 | Vlog |
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| 131. | Principal Neighbourhood Aggregation for Graph Nets | AISC | 1 | |
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| 132. | Modern Innovations in Fine-Tuning Large Language Models | 1 | |
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| 133. | Compact Neural Representation Using Attentive Network Pruning | AISC | 1 | |
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| 134. | Identifying Influential Individuals in Complex Networks: An Overview | AISC | 1 | |
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| 135. | Serina Chang: Understanding the spread of COVID-19 using Social Network Models | 1 | |
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| 136. | AI for Fun! | 1 | |
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| 137. | Multi-Armed Bandit Strategies for Non-Stationary Reward Distributions and Delayed Feedback Processes | 1 | |
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| 138. | Deep learning interpretation of echocardiograms | AISC | 1 | |
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| 139. | A Fireside Chat with AISC NLP experts | 1 | Let's Play |
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| 140. | Data exploration – can machine learning discover new drugs? | AISC | 1 | |
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| 141. | [RoBERT & ToBERT] Hierarchical Transformers for Long Document Classification | AISC | 1 | |
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| 142. | ThinkGPT: Agent and Chain of Thought techniques for LLMs | 1 | |
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| 143. | TDLS - Classics: SMOTE, Synthetic Minority Over-sampling Technique (algorithm) | 1 | |
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| 144. | Design for Augmentation (not Automation) | AISC | 1 | |
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| 145. | DrWhy.AI - Tools for Explainable Artificial Intelligence | AISC | 1 | |
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| 146. | Investing in Emerging Technology & The Nuts & Bolts of How to Raise Money for your Startup | AISC | 1 | Guide |
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| 147. | [Word2Bits] Quantized Word Vectors | AISC | 1 | |
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| 148. | Benchmarking and Survey of Explanation Methods for Black Box Models | AISC | 1 | |
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| 149. | Running ML Experiments on the Edge | 1 | |
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| 150. | Quantum generative adversarial networks | TDLS Author Speaking | 1 | |
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| 151. | Location Intelligence Products: Goals and Challenges | AISC | 1 | |
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| 152. | How to Annotate Data for LLM Applications | 1 | Guide |
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| 153. | High-frequency Component Helps Explain the Generalization of Convolutional Neural Networks | AISC | 1 | Let's Play |
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| 154. | Explainable Neural Networks based on Additive Index Models | TDLS | 1 | |
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| 155. | Reinforcement learning in sports analytics | AISC | 1 | |
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| 156. | Visualizing Data using t-SNE (algorithm) | AISC Foundational | 1 | |
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| 157. | State of Natural Language Processing in 2019 | AISC | 1 | |
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| 158. | AI Product Stream Meet and Greet | AISC | 1 | |
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| 159. | Screening and analysis of specific language impairment | AISC | 1 | |
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| 160. | Getting into Reinforcement Learning - Fireside Chat | 1 | |
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| 161. | Semi Supervised Learning: Introduction - Session 1 | 1 | |
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| 162. | Machine Learning in Environmental Science and Prediction: An Overview | AISC | 1 | |
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| 163. | Intersection Between LLMs and Products | 1 | |
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| 164. | Machine Learning in Blockchain - Deep Random Talks - Episode 11 | 1 | |
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| 165. | TMLS2017: Transitioning to Data Science, Panel Discussion | 1 | Discussion |
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| 166. | Recurrent Neural Network for Quantum Wave Function | AISC | 1 | |
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| 167. | End to end recommender engine using Amazon Glue and SageMaker - Use Case for Data Scientists | AISC | 1 | |
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| 168. | Graph Normalizing Flows | 1 | |
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| 169. | Reinforcement Learning: AI Gym Environment - Session 15 | 1 | |
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| 170. | Machine Learning for Cyber Security - Session 11 | 1 | |
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| 171. | [WeightWatcher] Self-Regularization in Deep Neural Networks: Evidence from Random Matrix Theory | 1 | |
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| 172. | Explainable Classifiers Using Counterfactual Approach | AISC | 1 | |
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| 173. | A Survey of Singular Learning | AISC | 1 | |
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| 174. | Learning-free Controllable Text Generation for Debiasing | 1 | |
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| 175. | Explainable AI to Automate Loan Underwriting Decisions | AISC | 1 | |
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| 176. | Survival regression with AFT model in XGBoost | AISC | 1 | |
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| 177. | ACAI: Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer | 1 | |
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| 178. | Expanding the Capabilities of Language Models with External Tools | 1 | |
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| 179. | Operationalizing the AI Canvas for AI Product Success (and profit) | AISC | 1 | |
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| 180. | Automatic Evaluation of Dialogue Systems using LLMs | 1 | Vlog |
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| 181. | Machine Learning for Cyber Security- Session 2 | 1 | |
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| 182. | Reinforcement Learning in Economics and Finance | AISC | 1 | |
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| 183. | Human Feedback Foundation - LLMs | 1 | |
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| 184. | Modern NLP: Review of Transformers- Session 5 | 1 | Let's Play |
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| 185. | Battery Modelling using Data-Driven Machine Learning | AISC | 1 | |
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| 186. | Jiri Stodulka- Data Scientist and Investor of Aggregate Intellect | 1 | |
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| 187. | 5 Commandments of Building LLM Products | 1 | |
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| 188. | Wind Farm Generator Condition Monitoring | 1 | |
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| 189. | Integrating Privacy is Integrating Ethics: What privacy could have done for Clearview AI | AISC | 1 | |
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| 190. | Machine Learning and the Earth: Applying AI to address some of the world’s greatest challenges | 1 | |
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| 191. | Which Open-source LLM to Choose for Your Task? | 1 | |
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| 192. | [LISA] Linguistically-Informed Self-Attention for Semantic Role Labeling | AISC | 1 | |
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| 193. | The Emergence of KnowledgeOps | 1 | |
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| 194. | [SAGAN] Self-Attention Generative Adversarial Networks | TDLS | 1 | |
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| 195. | Lookahead Optimizer: k steps forward, 1 step back | 1 | |
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| 196. | [GQN] Neural Scene Representation and Rendering | AISC | 1 | |
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| 197. | Semi Supervised Learning - Session 12 | 1 | |
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| 198. | SHERPA - Open Source Project Update, 2023-09-29 | 1 | Vlog |
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| 199. | Neural Ordinary Differential Equations - part 2 (results & discussion) | AISC | 1 | Discussion |
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| 200. | Acetock - Stock Prediction Tool for Amateur Investors | Workshop Capstone | 1 | |
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