LLMs Explained - Aggregate Intellect - AI.SCIENCE

LLMs Explained - Aggregate Intellect - AI.SCIENCE

Views:
843,134
Subscribers:
22,400
Videos:
711
Duration:
18:20:50:03
Canada
Canada

LLMs Explained - Aggregate Intellect - AI.SCIENCE is a Canadian YouTube content creator with roughly 22.4 thousand subscribers. He published 711 videos which altogether total roughly 843.13 thousand views.

Created on ● Channel Link: https://www.youtube.com/channel/UCfk3pS8cCPxOgoleriIufyg



Top 100 Most Viewed Videos by LLMs Explained - Aggregate Intellect - AI.SCIENCE


Video TitleViewsCategoryGame
1.[BERT] Pretranied Deep Bidirectional Transformers for Language Understanding (algorithm) | TDLS83,060
2.[Transformer] Attention Is All You Need | AISC Foundational31,552
3.[Variational Autoencoder] Auto-Encoding Variational Bayes | AISC Foundational29,390
4.(Original Paper) Latent Dirichlet Allocation (algorithm) | AISC Foundational15,506
5.[Original ResNet paper] Deep Residual Learning for Image Recognition | AISC15,374
6.[ELMo] Deep Contextualized Word Representations | AISC14,588
7.Principles of Riemannian Geometry in Neural Networks | TDLS13,979
8.[StyleGAN] A Style-Based Generator Architecture for GANs, part 1 (algorithm review) | TDLS13,739Review
9.Introduction to the Conditional GAN - A General Framework for Pixel2Pixel Translation11,931
10.Abstractive Text Summarization Using Sequence-to-Sequence RNNs and Beyond | TDLS11,751
11.Code Review: Transformer - Attention Is All You Need | AISC11,527Review
12.Neural Ordinary Differential Equations - part 1 (algorithm review) | AISC10,162Review
13.TGN: Temporal Graph Networks for Deep Learning on Dynamic Graphs [Paper Explained by the Author]9,544
14.[GAT] Graph Attention Networks | AISC Foundational9,542
15.Deep InfoMax: Learning deep representations by mutual information estimation and maximization | AISC8,786Guide
16.Convolutional Neural Networks for processing EEG signals8,409
17.Graph Neural Networks, Session 6: DeepWalk and Node2Vec8,058
18.Leaf Doctor: Plant Disease Detection Using Image Classification | Deep Learning Workshop Capstone7,687
19.Mathematics of Deep Learning Overview | AISC Lunch & Learn7,606
20.Connectionist Temporal Classification, Labelling Unsegmented Sequence Data with RNN | TDLS7,531
21.Can deep learning AI help with detecting COVID-19/coronavirus?7,470
22.AlphaStar explained: Grandmaster level in StarCraft II with multi-agent RL7,012Let's PlayStarCraft II
23.Deep Neural Networks for YouTube Recommendation | AISC Foundational6,956
24.All-optical machine learning using diffractive deep neural networks | TDLS6,466
25.[AlphaGo Zero] Mastering the game of Go without human knowledge | TDLS6,062Let's Play
26.[Original attention] Neural Machine Translation by Jointly Learning to Align and Translate | AISC5,993
27.[SAGAN] Self-Attention Generative Adversarial Networks | TDLS5,939
28.PGGAN | Progressive Growing of GANs for Improved Quality, Stability, and Variation (part 1) | AISC5,937
29.[DDQN] Deep Reinforcement Learning with Double Q-learning | TDLS Foundational5,863
30.Transformer XL | AISC Trending Papers5,857
31.Neural Image Caption Generation with Visual Attention (algorithm) | AISC5,591
32.Battery Modelling using Data-Driven Machine Learning | AISC5,577
33.Introduction to NVIDIA NeMo - A Toolkit for Conversational AI | AISC5,518
34.Learning Mesh-Based Simulation with Graph Networks - Tobias Pfaff (DeepMind)5,465
35.[OpenAI GPT2] Language Models are Unsupervised Multitask Learners | TDLS Trending Paper5,087
36.Tobias Pfaff (DeepMind): Learning to Simulate Complex Physics with Graph Networks4,865
37.[StackGAN++] Realistic Image Synthesis with Stacked Generative Adversarial Networks | AISC4,782
38.Explainable AI, Session 4: Intro to LIME4,709
39.Junction Tree Variational Autoencoder for Molecular Graph Generation | TDLS4,606
40.A Literature Review on Graph Neural Networks4,071Review
41.Explainable AI with Layer-wise Relevance Propagation (LRP)3,999
42.TMLS2017: Transitioning to Data Science, Panel Discussion3,967Discussion
43.Deep Q-Learning paper explained: Human-level control through deep reinforcement learning (algorithm)3,965
44.Graph Neural Networks, Session 1: Introduction to Graphs3,939
45.Explainable AI for Time Series - Literature Review | AISC3,626Review
46.Top-K Off-Policy Correction for a REINFORCE Recommender System | AISC3,588
47.TDLS - Classics: SMOTE, Synthetic Minority Over-sampling Technique (algorithm)3,472
48.Classification of sentiment reviews using n-gram machine learning approach3,466Review
49.Combining Satellite Imagery and machine learning to predict poverty3,375
50.Intro to Llama-agents Framework (+ live demo)3,370
51.[StyleGAN] A Style-Based Generator Architecture for GANs, part2 (results and discussion) | TDLS3,316Discussion
52.Lagrangian Neural Networks | AISC3,265
53.[BERT] Pretranied Deep Bidirectional Transformers for Language Understanding (discussions) | TDLS3,251Discussion
54.[GQN] Neural Scene Representation and Rendering | AISC3,199
55.Steve Brunton: Machine Learning for Fluid Dynamics3,196
56.Automated Vulnerability Detection in Source Code Using Deep Learning (algorithm) | AISC3,093
57.Plug and Play Language Models: A Simple Approach to Controlled Text Generation | AISC3,018
58.Neural Ordinary Differential Equations - part 2 (results & discussion) | AISC2,934Discussion
59.[Original Style Transfer] A Neural Algorithm of Artistic Style | TDLS Foundational2,900
60.Graph Neural Networks, Session 4: Simple Graph Convolution2,791
61.Few-Shot Learning Through an Information Retrieval Lens | TDLS2,765Guide
62.Graph Normalizing Flows2,741
63.The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words & Sentences From Natural Supervision2,729
64.Recurrent Models of Visual Attention | TDLS2,722
65.XLNet: Generalized Autoregressive Pretraining for Language Understanding | AISC2,642
66.Revolutionary Deep Learning Method to Denoise EEG Brainwaves2,606
67.AlphaFold 2, Is Protein Folding Solved? | AISC2,599Let's Play
68.Similarity of neural network representations revisited2,583
69.Visualizing Data using t-SNE (algorithm) | AISC Foundational2,516
70.Reinforcement Learning in Economics and Finance | AISC2,459
71.Explainable AI, Session 5: Intro to SHAP2,381
72.Applications of Blockchain to IoT Security | AISC2,317
73.Overview of Machine Learning for Knowledge Graphs | AISC2,278
74.Machine Learning in Environmental Science and Prediction: An Overview | AISC2,234
75.[FFJORD] Free-form Continuous Dynamics for Scalable Reversible Generative Models (Part 1) | AISC2,212
76.Graph Neural Networks, Session 3: Machine-Learning Tasks on Graphs2,195
77.TF-Encrypted: Private machine learning in tensorflow with secure computing | AISC Lunch & Learn2,144
78.Overview of Modern Anomaly and Novelty Detection | AISC2,137
79.[Gated-SCNN] Gated Shape CNNs for Semantic Segmentation2,096
80.BERT & NLP Explained2,093Let's Play
81.QSAR Model Explained2,087
82.MLOps: MLflow Hands On, Session 2, part 22,079
83.Interpretable Neural Networks for Panel Data Analysis in Economics | AISC2,066
84.Genomics with Deep Learning: A Concise Overview | AISC2,019
85.Lookahead Optimizer: k steps forward, 1 step back1,990
86.A Style-Based Generator Architecture for Generative Adversarial Networks1,978
87.Survival regression with AFT model in XGBoost | AISC1,965
88.Tensor Field Networks | AISC1,944
89.[RoBERT & ToBERT] Hierarchical Transformers for Long Document Classification | AISC1,923
90.LogoGAN: Creating Logos with Generative Adversarial Networks | Workshop Capstone1,922Vlog
91.Graph Neural Networks, Session 2: Graph Definition1,885
92.An overview of task-oriented dialog systems | AISC1,878Vlog
93.Build and Deploy Machine Learning Models | MLOps Overview1,861
94.[hgraph2graph] Hierarchical Generation of Molecular Graphs using Structural Motifs | AISC Spotlight1,837
95.Topological Deep Learning1,776Vlog
96.TMLS2018 - Machine Learning in Production, Panel Discussion1,733Discussion
97.Ernie 2.0: A Continual Pre-Training Framework for Language Understanding | AISC1,721
98.Overview of Unsupervised & Semi-supervised learning | AISC1,688
99.Why you should be part of AISC community!1,682
100.Graph Neural Networks, Session 5: Graph Attention Networks1,665