101. | Machine Learning for Cyber Security - Session 19 | 2 | |
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102. | [Gated-SCNN] Gated Shape CNNs for Semantic Segmentation | 2 | |
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103. | Building (AI?) Products; Step by Step Guide | AISC | 2 | Guide |
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104. | What is the right team composition in era of LLMs? | 2 | |
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105. | Learning Discrete Structures for Graph Neural Networks | AISC | 2 | |
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106. | [hgraph2graph] Hierarchical Generation of Molecular Graphs using Structural Motifs | AISC Spotlight | 2 | |
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107. | MLOps: MLflow Hands On, Session 2, part 2 | 2 | |
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108. | MLOps: Overview of Machine Learning Operations on the Cloud | AISC | 2 | |
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109. | Gossip-based Actor-Learner Architectures for Deep Reinforcement Learning | AISC | 2 | |
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110. | Tobias Pfaff (DeepMind): Learning to Simulate Complex Physics with Graph Networks | 2 | |
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111. | How do Aggregate Intellect Machine Learning Product Competitions work? | 2 | |
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112. | 'Less Than One'-Shot Learning (author speaking) | 2 | |
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113. | Plug and Play Language Models: A Simple Approach to Controlled Text Generation | AISC | 2 | |
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114. | Automated Vulnerability Detection in Source Code Using Deep Learning (discussions) | AISC | 2 | Discussion |
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115. | Climate Risk Exposure Analysis Machine | 2 | |
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116. | 5-min [machine learning] paper challenge | AISC | 2 | |
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117. | Graph Neural Networks, Session 2: Graph Definition | 2 | |
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118. | ChatGPT - the Chatbot that Follows Instructions - DRT S2E9 | 2 | Tutorial |
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119. | Unsupervised Data Augmentation | AISC | 2 | |
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120. | Learning Mesh-Based Simulation with Graph Networks - Tobias Pfaff (DeepMind) | 2 | |
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121. | Building a Quantum Computer with Trapped Ions | 2 | |
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122. | New Directions in Computer Vision | 2 | |
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123. | Deep Learning in Healthcare and Its Practical Limitations | 2 | |
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124. | Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT | AISC | 2 | |
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125. | Neural Image Caption Generation with Visual Attention (algorithm) | AISC | 2 | |
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126. | Integrating Physics into Machine Learning Models for Scientific Discovery | AISC | 2 | |
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127. | Top-K Off-Policy Correction for a REINFORCE Recommender System | AISC | 2 | |
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128. | Private Investing in Deep Tech - DRT - S2 bonus ep - Ft. Moien Giashi, Darryl Kirsch, Hessie Jones | 1 | |
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129. | AI Product, Part 8: Short-term Validation | 1 | |
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130. | Getting into Reinforcement Learning - Fireside Chat | 1 | |
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131. | Machine Learning for Cyber Security: Graphs and ML- Session 14 | 1 | |
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132. | Modern Innovations in Fine-Tuning Large Language Models | 1 | |
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133. | Principal Neighbourhood Aggregation for Graph Nets | AISC | 1 | |
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134. | You May Not Need Attention | TDLS Code Review | 1 | Review |
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135. | Augmented Out-of-sample Comparison Method for Time Series Forecasting Techniques | AISC | 1 | |
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136. | Recurrent Neural Network for Quantum Wave Function | AISC | 1 | |
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137. | An Introduction to Quantum Computing | 1 | |
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138. | Multi-Armed Bandit Strategies for Non-Stationary Reward Distributions and Delayed Feedback Processes | 1 | |
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139. | AI for Fun! | 1 | |
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140. | Single Headed Attention RNN: Stop Thinking With Your Head | AISC | 1 | |
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141. | [WeightWatcher] Self-Regularization in Deep Neural Networks: Evidence from Random Matrix Theory | 1 | |
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142. | CNN Architectures for Large-Scale Audio Classification | AISC | 1 | |
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143. | TDLS - Classics: SMOTE, Synthetic Minority Over-sampling Technique (algorithm) | 1 | |
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144. | Explainable Classifiers Using Counterfactual Approach | AISC | 1 | |
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145. | PGGAN | Progressive Growing of GANs for Improved Quality, Stability, and Variation (part 1) | AISC | 1 | |
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146. | [Phoenics] A Bayesian Optimizer for Chemistry | AISC Author Speaking | 1 | |
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147. | guess what's happening! | 1 | |
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148. | Graph Neural Networks, Session 4: Simple Graph Convolution | 1 | |
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149. | XAI Data Scientist User Journey | 1 | |
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150. | Survival regression with AFT model in XGBoost | AISC | 1 | |
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151. | SHERPA - Open Source Project Update, 2023-09-29 | 1 | Vlog |
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152. | Deep Learning for Symbolic Mathematics | AISC | 1 | |
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153. | NLP on Noisy User-generated text - NER for StackOverflow | AISC | 1 | Let's Play |
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154. | Product Ideation - Art of Finding the Right Problem to Work on! | AISC | 1 | |
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155. | Automatic Evaluation of Dialogue Systems using LLMs | 1 | Vlog |
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156. | Machine Learning in Blockchain - Deep Random Talks - Episode 11 | 1 | |
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157. | Hypothesis Generation with AGATHA : Accelerate Scientific Discovery with Deep Learning | AISC | 1 | |
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158. | Overview of Reinforcement Learning | AISC | 1 | |
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159. | LLM Live Book - Project Update - 2023-08-11 | 1 | Vlog |
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160. | Modern NLP: Review of Transformers- Session 5 | 1 | Let's Play |
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161. | Machine Learning for Cyber Security - Session 11 | 1 | |
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162. | How Can We Be So Dense? The Benefits of Using Highly Sparse Representations | AISC | 1 | |
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163. | TDLS: Large-Scale Unsupervised Deep Representation Learning for Brain Structure | 1 | |
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164. | Identifying Influential Individuals in Complex Networks: An Overview | AISC | 1 | |
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165. | Wind Farm Generator Condition Monitoring | 1 | |
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166. | Explainable AI to Automate Loan Underwriting Decisions | AISC | 1 | |
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167. | EVE - Explainable Vector Embeddings - DRT S2E12 | 1 | |
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168. | Evidential Reasoning Rule Based Feature Selection | AISC | 1 | |
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169. | Data exploration – can machine learning discover new drugs? | AISC | 1 | |
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170. | Intersection Between LLMs and Products | 1 | |
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171. | Topological Deep Learning | 1 | Vlog |
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172. | [LISA] Linguistically-Informed Self-Attention for Semantic Role Labeling | AISC | 1 | |
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173. | Operationalizing the AI Canvas for AI Product Success (and profit) | AISC | 1 | |
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174. | [AI Product] How to build products people actually want to use | AISC | 1 | Guide |
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175. | Compact Neural Representation Using Attentive Network Pruning | AISC | 1 | |
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176. | DrWhy.AI - Tools for Explainable Artificial Intelligence | AISC | 1 | |
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177. | Reinforcement Learning: AI Gym Environment - Session 15 | 1 | |
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178. | Serina Chang: Understanding the spread of COVID-19 using Social Network Models | 1 | |
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179. | [GQN] Neural Scene Representation and Rendering | AISC | 1 | |
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180. | Deep learning interpretation of echocardiograms | AISC | 1 | |
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181. | Learn about Foodshake and it’s vegan recipes! | 1 | |
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182. | [RoBERT & ToBERT] Hierarchical Transformers for Long Document Classification | AISC | 1 | |
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183. | Learning-free Controllable Text Generation for Debiasing | 1 | |
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184. | Visualizing Data using t-SNE (algorithm) | AISC Foundational | 1 | |
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185. | Acetock - Stock Prediction Tool for Amateur Investors | Workshop Capstone | 1 | |
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186. | Graph Neural Networks, Session 1: Introduction to Graphs | 1 | |
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187. | Expanding the Capabilities of Language Models with External Tools | 1 | |
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188. | The Emergence of KnowledgeOps | 1 | |
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189. | Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthe | 1 | |
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190. | Neural Image Caption Generation with Visual Attention (discussion) | AISC | 1 | Discussion |
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191. | Reinforcement Learning in Economics and Finance | AISC | 1 | |
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192. | Semi Supervised Learning - Session 12 | 1 | |
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193. | Machine Learning for Cyber Security- Session 2 | 1 | |
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194. | Jiri Stodulka- Data Scientist and Investor of Aggregate Intellect | 1 | |
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195. | TF-Encrypted: Private machine learning in tensorflow with secure computing | AISC Lunch & Learn | 1 | |
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196. | [RecSys Challenge 2019 2nd Place] Robust Contextual Models for In-Session Personalization | AISC | 1 | |
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197. | Battery Modelling using Data-Driven Machine Learning | AISC | 1 | |
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198. | Machine Learning and the Earth: Applying AI to address some of the world’s greatest challenges | 1 | |
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199. | Restricted Boltzmann Machines for Collaborative Filtering | AISC | 1 | |
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200. | Integrating Privacy is Integrating Ethics: What privacy could have done for Clearview AI | AISC | 1 | |
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