| 101. | Survival regression with AFT model in XGBoost | AISC | 34 | |
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| 102. | Trusted Text Classification from Concept to Deployment | NLP Workshop Capstone | 33 | Let's Play |
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| 103. | Visualizing and measuring the geometry of BERT | AISC | 33 | |
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| 104. | [StyleGAN] A Style-Based Generator Architecture for GANs, part2 (results and discussion) | TDLS | 33 | Discussion |
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| 105. | Attention is not not explanation + Character Eyes: Seeing Language through Character-Level Taggers | | 33 | |
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| 106. | Deep Random Talks - Introduction on 2-2-22 | 32 | |
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| 107. | Overview of Modern Anomaly and Novelty Detection | AISC | 32 | |
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| 108. | Bayesian Deep Learning on a Quantum Computer | TDLS Author Speaking | 32 | |
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| 109. | Saramsh - Patent Document Summarization using BART | Workshop Capstone | 32 | |
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| 110. | [FFJORD] Free-form Continuous Dynamics for Scalable Reversible Generative Models (Part 1) | AISC | 32 | |
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| 111. | Unifying machine learning and quantum chemistry with a deep neural network | AISC | 30 | |
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| 112. | Quantum generative adversarial networks | TDLS Author Speaking | 30 | |
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| 113. | MLOps: MLflow Hands On, Session 2, part 2 | 30 | |
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| 114. | ACAI: Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer | 30 | |
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| 115. | Explainable AI, Session 4: Intro to LIME | 29 | |
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| 116. | Machine Learning for Cyber Security- Introduction - Session 1 | 29 | |
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| 117. | A Literature Review on Reinforcement Learning in Process Control | AISC | 29 | Review |
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| 118. | Sparse Transformers and MuseNet | AISC | 29 | |
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| 119. | Machine learning meets continuous flow chemistry: Automated process optimization | AISC | 29 | |
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| 120. | High-frequency Component Helps Explain the Generalization of Convolutional Neural Networks | AISC | 28 | Let's Play |
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| 121. | [BERT] Pretranied Deep Bidirectional Transformers for Language Understanding (discussions) | TDLS | 27 | Discussion |
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| 122. | Reinforcement learning in sports analytics | AISC | 27 | |
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| 123. | Overview of Machine Learning in Behavioral Economics | AISC | 27 | |
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| 124. | Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches | | 26 | |
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| 125. | Hypothesis Generation with AGATHA : Accelerate Scientific Discovery with Deep Learning | AISC | 26 | |
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| 126. | Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthe | 26 | |
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| 127. | Build next generation recommenders with NVIDIA Merlin | AISC | 26 | |
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| 128. | Review Nuggets - Mining Insight from Consumer Product Reviews | Workshop Capstone | 25 | Review |
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| 129. | Environmental Data Science - Deep Random Talks - Episode 5 | 25 | |
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| 130. | Why you should be part of AISC community! | 25 | |
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| 131. | Build and Deploy Machine Learning Models | MLOps Overview | 25 | |
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| 132. | Machine Learning on Source Code - GitHub / Open AI Copilot | 25 | |
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| 133. | Deep Learning in Healthcare and Its Practical Limitations | 25 | |
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| 134. | How goodness metrics lead to undesired recommendations | 25 | |
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| 135. | Building a Quantum Computer with Trapped Ions | 24 | |
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| 136. | A Literature Review on Interpretability for Machine Learning | AISC | 24 | Review |
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| 137. | Defending Against Fake Neural News | AISC | 24 | |
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| 138. | Restricted Boltzmann Machines for Collaborative Filtering | AISC | 24 | |
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| 139. | TDLS - Classics: SMOTE, Synthetic Minority Over-sampling Technique (algorithm) | 24 | |
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| 140. | Pink Diamond - Data Driven Prediction of Venture Success | Workshop Capstone | 24 | |
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| 141. | LogoGAN: Creating Logos with Generative Adversarial Networks | Workshop Capstone | 24 | Vlog |
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| 142. | News Recommender System Considering Temporal Dynamics and News Taxonomy | AISC | 23 | |
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| 143. | [RecSys 2018 Challenge winner] Two-stage Model for Automatic Playlist Continuation at Scale |TDLS | 23 | |
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| 144. | Breaking the Softmax Bottleneck via Learnable Monotonic Pointwise Non-linearities | AISC | 23 | |
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| 145. | [XAI] Explainable AI in Retail | AISC | 23 | |
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| 146. | Investigating Anti-Muslim Bias in GPT-3 | 23 | |
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| 147. | Neural Models of Text Normalization for Speech Applications | AISC Author Speaking | 22 | |
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| 148. | Explaining by Removing: A Unified Framework for Model Explanation | AISC | 22 | |
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| 149. | Practical Transformers - Natural Language Processing | Learning Package Overview | 22 | |
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| 150. | Incorporating Large Language Models into Enterprise Analytics | 22 | |
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| 151. | Using unsupervised machine learning to uncover hidden scientific knowledge | AISC | 22 | |
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| 152. | Building (AI?) Products; Step by Step Guide | AISC | 22 | Guide |
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| 153. | TMLS2018 - Machine Learning in Production, Panel Discussion | 22 | Discussion |
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| 154. | NLP on Noisy User-generated text - NER for StackOverflow | AISC | 22 | Let's Play |
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| 155. | Multi-Armed Bandit Strategies for Non-Stationary Reward Distributions and Delayed Feedback Processes | 22 | |
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| 156. | A Survey on the Explainability of Supervised Machine Learning | 22 | |
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| 157. | Machine Learning and Optimization - Deep Random Talks - Episode 17 | 21 | |
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| 158. | Overview of Generative Adversarial Networks | AISC | 21 | |
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| 159. | GNN-TOX: Graph Neural Nets to Make Drug Discovery Cheaper | 21 | |
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| 160. | Machine Learning in Cyber Security, Overview | AISC | 21 | |
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| 161. | Video Action Transformer Network | AISC | 21 | |
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| 162. | MLOps: Overview of Machine Learning Operations on the Cloud | AISC | 21 | |
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| 163. | End to end recommender engine using Amazon Glue and SageMaker - Use Case for Data Scientists | AISC | 21 | |
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| 164. | Overview of Machine Learning in Marketing | AISC | 21 | |
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| 165. | Proving the Lottery Ticket Hypothesis: Pruning is All You Need | AISC Livestream with the Author | 21 | |
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| 166. | How do Aggregate Intellect Machine Learning Product Competitions work? | 20 | |
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| 167. | Reinforcement Learning for Batch-to-Batch Bioprocess Optimisation | AISC | 20 | |
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| 168. | Recurrent Models of Visual Attention | TDLS | 20 | |
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| 169. | Building AI Products; The Journey | Overview | 20 | |
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| 170. | How Can We Be So Dense? The Benefits of Using Highly Sparse Representations | AISC | 20 | |
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| 171. | The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies | 19 | |
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| 172. | [WeightWatcher] Self-Regularization in Deep Neural Networks: Evidence from Random Matrix Theory | 19 | |
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| 173. | The Synthesizability of Molecules Proposed by Generative Models | AISC | 19 | |
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| 174. | Uncertainty-Aware Action Advising for Deep Reinforcement Learning Agents | AISC | 19 | |
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| 175. | TDLS: Learning Functional Causal Models with GANs - part 1 (algorithm review) | 19 | Review |
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| 176. | A Survey of Singular Learning | AISC | 19 | |
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| 177. | BottleSum: Unsupervised & Self-supervised Sentence Summarization w/ Information Bottleneck Principle | 19 | Guide |
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| 178. | A Style-Based Generator Architecture for Generative Adversarial Networks | 19 | |
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| 179. | Explainable AI, Session 5: Intro to SHAP | 18 | |
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| 180. | Recurrent Neural Network for Quantum Wave Function | AISC | 18 | |
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| 181. | Modern Innovations in Fine-Tuning Large Language Models | 18 | |
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| 182. | ChatGPT - the Chatbot that Follows Instructions - DRT S2E9 | 18 | Tutorial |
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| 183. | Learning To Navigate The Synthetically Accessible Chemical Space Using Reinforcement Learning | AISC | 18 | | Changes
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| 184. | XAI Data Scientist User Journey | 18 | |
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| 185. | Fast Film - Emotionally Aware Movie Recommender | Workshop Capstone | 18 | |
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| 186. | ACT: Adaptive Computation Time for Recurrent Neural Networks | AISC | 18 | |
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| 187. | Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT | AISC | 18 | |
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| 188. | Cognitive Model Priors for Predicting Human Decisions | AISC | 18 | |
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| 189. | SELFIES: A 100% robust representation of semantically constrained Graphs, for deep generative models | 18 | |
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| 190. | [Author speaking] Protein docking model evaluation by 3D convolutional neural networks | AISC | 18 | |
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| 191. | A Literature Review on ML in Neuroscience - Introducing new AISC Stream | AISC | 18 | Review |
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| 192. | Similarity Search for Efficient Active Learning and Search of Rare Concepts | AISC | 18 | |
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| 193. | Parallel Collaborative Filtering for the Netflix Prize (algorithm review) | AISC Foundational | 17 | Review |
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| 194. | News ScanNER: Entity Tagging in News Headlines | Deep Learning Workshop Capstone | 17 | |
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| 195. | Multi Type Mean Field Reinforcement Learning | AISC | 17 | |
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| 196. | Learning to Play Soccer by Reinforcement Learning | AISC | 17 | |
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| 197. | Nvidia's RAPIDS.ai: Massively Accelerated Modern Data-Science | AISC | 17 | |
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| 198. | Eve: A Gradient Based Optimization Method with Locally and Globally Adaptive Learning Rates | TDLS | 17 | |
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| 199. | Autonomous Experiments for Structural Design in 3d Printing | 17 | |
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| 200. | Deep learning interpretation of echocardiograms | AISC | 17 | |
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