NeurIPS 2022 - interviews with AI experts and conference walk-through

Aleksa Gordić - The AI Epiphany · Beginner ·📰 AI News & Updates ·3y ago
❤️ Become The AI Epiphany Patreon ❤️ https://www.patreon.com/theaiepiphany 👨‍👩‍👧‍👦 Join our Discord community 👨‍👩‍👧‍👦 https://discord.gg/peBrCpheKE Disclaimer: This YouTube channel is separate from my role at Google DeepMind. In this video, I try and give you some feeling for what NeurIPS 2022 looked like! I asked the AI experts for advice for newcomers and various other questions! :) Starring in this video: Ishan Misra (FAIR), Greg Yang (Microsoft), Alfredo Canziani (NYU), Ching-pei Lee (Academia Sinica), Zak Jost (WelcomeAIOverlords), Jun Wang (iWUDAO), Ethan Caballero (Mila), Aran Komatsuzaki (EleutherAI), and Jan Stühmer (Karlsruhe). ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ ⌚️ Timetable: 00:00 Intro 01:39 Getting to NeurIPS 02:40 Company booths 03:27 Poster sessions 05:22 Greg Yang (Microsoft) 08:00 Ching-pei Lee (Academia Sinica) 09:20 Zak Jost (WelcomeAIOverlords) 10:54 Ishan Misra (FAIR) 16:47 Alfredo Canziani (NYU) 18:07 Jun Wang (iWUDAO) 20:21 Ethan Caballero (Mila) 23:50 Aran Komatsuzaki (EleutherAI) 31:45 Jan Stühmer (Karlsruhe) 33:36 Outro (feat Greg Yang) ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 💰 BECOME A PATREON OF THE AI EPIPHANY ❤️ If these videos, GitHub projects, and blogs help you, consider helping me out by supporting me on Patreon! The AI Epiphany - https://www.patreon.com/theaiepiphany One-time donation - https://www.paypal.com/paypalme/theaiepiphany Huge thank you to these AI Epiphany patreons: Eli Mahler Petar Veličković ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 💼 LinkedIn - https://www.linkedin.com/in/aleksagordic/ 🐦 Twitter - https://twitter.com/gordic_aleksa 👨‍👩‍👧‍👦 Discord - https://discord.gg/peBrCpheKE 📺 YouTube - https://www.youtube.com/c/TheAIEpiphany/ 📚 Medium - https://gordicaleksa.medium.com/ 💻 GitHub - https://github.com/gordicaleksa 📢 AI Newsletter - https://aiepiphany.substack.com/ ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ #neurips #machinelearning #conference
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1 Intro | Neural Style Transfer #1
Intro | Neural Style Transfer #1
Aleksa Gordić - The AI Epiphany
 2 Basic Theory | Neural Style Transfer #2
Basic Theory | Neural Style Transfer #2
Aleksa Gordić - The AI Epiphany
 3 Optimization method | Neural Style Transfer #3
Optimization method | Neural Style Transfer #3
Aleksa Gordić - The AI Epiphany
 4 Advanced Theory | Neural Style Transfer #4
Advanced Theory | Neural Style Transfer #4
Aleksa Gordić - The AI Epiphany
 5 Anyone can make deepfakes now!
Anyone can make deepfakes now!
Aleksa Gordić - The AI Epiphany
 6 What is Computer Vision? | The Art of Creating Seeing Machines
What is Computer Vision? | The Art of Creating Seeing Machines
Aleksa Gordić - The AI Epiphany
 7 Feed-forward method | Neural Style Transfer #5
Feed-forward method | Neural Style Transfer #5
Aleksa Gordić - The AI Epiphany
 8 Alan Turing | Computing Machinery and Intelligence
Alan Turing | Computing Machinery and Intelligence
Aleksa Gordić - The AI Epiphany
 9 Feed-forward method (training) | Neural Style Transfer #6
Feed-forward method (training) | Neural Style Transfer #6
Aleksa Gordić - The AI Epiphany
 10 What is Google Deep Dream? (Basic Theory) | Deep Dream Series #1
What is Google Deep Dream? (Basic Theory) | Deep Dream Series #1
Aleksa Gordić - The AI Epiphany
 11 Semantic Segmentation in PyTorch | Neural Style Transfer #7
Semantic Segmentation in PyTorch | Neural Style Transfer #7
Aleksa Gordić - The AI Epiphany
 12 How to get started with Machine Learning
How to get started with Machine Learning
Aleksa Gordić - The AI Epiphany
 13 How to learn PyTorch? (3 easy steps) | 2021
How to learn PyTorch? (3 easy steps) | 2021
Aleksa Gordić - The AI Epiphany
 14 PyTorch or TensorFlow?
PyTorch or TensorFlow?
Aleksa Gordić - The AI Epiphany
 15 3 Machine Learning Projects For Beginners (Highly visual) | 2021
3 Machine Learning Projects For Beginners (Highly visual) | 2021
Aleksa Gordić - The AI Epiphany
 16 Machine Learning Projects (Intermediate level) | 2021
Machine Learning Projects (Intermediate level) | 2021
Aleksa Gordić - The AI Epiphany
 17 Cheapest (0$) Deep Learning Hardware Options | 2021
Cheapest (0$) Deep Learning Hardware Options | 2021
Aleksa Gordić - The AI Epiphany
 18 How to learn deep learning? (Transformers Example)
How to learn deep learning? (Transformers Example)
Aleksa Gordić - The AI Epiphany
 19 How do transformers work? (Attention is all you need)
How do transformers work? (Attention is all you need)
Aleksa Gordić - The AI Epiphany
 20 Developing a deep learning project (case study on transformer)
Developing a deep learning project (case study on transformer)
Aleksa Gordić - The AI Epiphany
 21 Vision Transformer (ViT) - An image is worth 16x16 words | Paper Explained
Vision Transformer (ViT) - An image is worth 16x16 words | Paper Explained
Aleksa Gordić - The AI Epiphany
 22 GPT-3 - Language Models are Few-Shot Learners | Paper Explained
GPT-3 - Language Models are Few-Shot Learners | Paper Explained
Aleksa Gordić - The AI Epiphany
 23 Google DeepMind's AlphaFold 2 explained! (Protein folding, AlphaFold 1, a glimpse into AlphaFold 2)
Google DeepMind's AlphaFold 2 explained! (Protein folding, AlphaFold 1, a glimpse into AlphaFold 2)
Aleksa Gordić - The AI Epiphany
 24 Attention Is All You Need (Transformer) | Paper Explained
Attention Is All You Need (Transformer) | Paper Explained
Aleksa Gordić - The AI Epiphany
 25 Graph Attention Networks (GAT) | GNN Paper Explained
Graph Attention Networks (GAT) | GNN Paper Explained
Aleksa Gordić - The AI Epiphany
 26 Graph Convolutional Networks (GCN) | GNN Paper Explained
Graph Convolutional Networks (GCN) | GNN Paper Explained
Aleksa Gordić - The AI Epiphany
 27 Graph SAGE - Inductive Representation Learning on Large Graphs | GNN Paper Explained
Graph SAGE - Inductive Representation Learning on Large Graphs | GNN Paper Explained
Aleksa Gordić - The AI Epiphany
 28 PinSage - Graph Convolutional Neural Networks for Web-Scale Recommender Systems | Paper Explained
PinSage - Graph Convolutional Neural Networks for Web-Scale Recommender Systems | Paper Explained
Aleksa Gordić - The AI Epiphany
 29 OpenAI CLIP - Connecting Text and Images | Paper Explained
OpenAI CLIP - Connecting Text and Images | Paper Explained
Aleksa Gordić - The AI Epiphany
 30 Temporal Graph Networks (TGN) | GNN Paper Explained
Temporal Graph Networks (TGN) | GNN Paper Explained
Aleksa Gordić - The AI Epiphany
 31 Graph Neural Network Project Update! (I'm coding GAT from scratch)
Graph Neural Network Project Update! (I'm coding GAT from scratch)
Aleksa Gordić - The AI Epiphany
 32 Graph Attention Network Project Walkthrough
Graph Attention Network Project Walkthrough
Aleksa Gordić - The AI Epiphany
 33 How to get started with Graph ML? (Blog walkthrough)
How to get started with Graph ML? (Blog walkthrough)
Aleksa Gordić - The AI Epiphany
 34 DQN - Playing Atari with Deep Reinforcement Learning | RL Paper Explained
DQN - Playing Atari with Deep Reinforcement Learning | RL Paper Explained
Aleksa Gordić - The AI Epiphany
 35 AlphaGo - Mastering the game of Go with deep neural networks and tree search | RL Paper Explained
AlphaGo - Mastering the game of Go with deep neural networks and tree search | RL Paper Explained
Aleksa Gordić - The AI Epiphany
 36 DeepMind's AlphaGo Zero and AlphaZero | RL paper explained
DeepMind's AlphaGo Zero and AlphaZero | RL paper explained
Aleksa Gordić - The AI Epiphany
 37 OpenAI - Solving Rubik's Cube with a Robot Hand | RL paper explained
OpenAI - Solving Rubik's Cube with a Robot Hand | RL paper explained
Aleksa Gordić - The AI Epiphany
 38 MuZero - Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model | RL Paper explained
MuZero - Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model | RL Paper explained
Aleksa Gordić - The AI Epiphany
 39 EfficientNetV2 - Smaller Models and Faster Training | Paper explained
EfficientNetV2 - Smaller Models and Faster Training | Paper explained
Aleksa Gordić - The AI Epiphany
 40 Implementing DeepMind's DQN from scratch! | Project Update
Implementing DeepMind's DQN from scratch! | Project Update
Aleksa Gordić - The AI Epiphany
 41 MLP-Mixer: An all-MLP Architecture for Vision | Paper explained
MLP-Mixer: An all-MLP Architecture for Vision | Paper explained
Aleksa Gordić - The AI Epiphany
 42 DeepMind's Android RL Environment - AndroidEnv
DeepMind's Android RL Environment - AndroidEnv
Aleksa Gordić - The AI Epiphany
 43 When Vision Transformers Outperform ResNets without Pretraining | Paper Explained
When Vision Transformers Outperform ResNets without Pretraining | Paper Explained
Aleksa Gordić - The AI Epiphany
 44 Non-Parametric Transformers | Paper explained
Non-Parametric Transformers | Paper explained
Aleksa Gordić - The AI Epiphany
 45 Chip Placement with Deep Reinforcement Learning | Paper Explained
Chip Placement with Deep Reinforcement Learning | Paper Explained
Aleksa Gordić - The AI Epiphany
 46 Text Style Brush - Transfer of text aesthetics from a single example | Paper Explained
Text Style Brush - Transfer of text aesthetics from a single example | Paper Explained
Aleksa Gordić - The AI Epiphany
 47 Graphormer - Do Transformers Really Perform Bad for Graph Representation? | Paper Explained
Graphormer - Do Transformers Really Perform Bad for Graph Representation? | Paper Explained
Aleksa Gordić - The AI Epiphany
 48 GANs N' Roses: Stable, Controllable, Diverse Image to Image Translation | Paper Explained
GANs N' Roses: Stable, Controllable, Diverse Image to Image Translation | Paper Explained
Aleksa Gordić - The AI Epiphany
 49 VQ-VAEs: Neural Discrete Representation Learning | Paper + PyTorch Code Explained
VQ-VAEs: Neural Discrete Representation Learning | Paper + PyTorch Code Explained
Aleksa Gordić - The AI Epiphany
 50 VQ-GAN: Taming Transformers for High-Resolution Image Synthesis | Paper Explained
VQ-GAN: Taming Transformers for High-Resolution Image Synthesis | Paper Explained
Aleksa Gordić - The AI Epiphany
 51 Multimodal Few-Shot Learning with Frozen Language Models | Paper Explained
Multimodal Few-Shot Learning with Frozen Language Models | Paper Explained
Aleksa Gordić - The AI Epiphany
 52 Focal Transformer: Focal Self-attention for Local-Global Interactions in Vision Transformers
Focal Transformer: Focal Self-attention for Local-Global Interactions in Vision Transformers
Aleksa Gordić - The AI Epiphany
 53 AudioCLIP: Extending CLIP to Image, Text and Audio | Paper Explained
AudioCLIP: Extending CLIP to Image, Text and Audio | Paper Explained
Aleksa Gordić - The AI Epiphany
 54 RMA: Rapid Motor Adaptation for Legged Robots | Paper Explained
RMA: Rapid Motor Adaptation for Legged Robots | Paper Explained
Aleksa Gordić - The AI Epiphany
 55 DALL-E: Zero-Shot Text-to-Image Generation | Paper Explained
DALL-E: Zero-Shot Text-to-Image Generation | Paper Explained
Aleksa Gordić - The AI Epiphany
 56 DETR: End-to-End Object Detection with Transformers | Paper Explained
DETR: End-to-End Object Detection with Transformers | Paper Explained
Aleksa Gordić - The AI Epiphany
 57 DINO: Emerging Properties in Self-Supervised Vision Transformers | Paper Explained!
DINO: Emerging Properties in Self-Supervised Vision Transformers | Paper Explained!
Aleksa Gordić - The AI Epiphany
 58 DeepMind DetCon: Efficient Visual Pretraining with Contrastive Detection | Paper Explained
DeepMind DetCon: Efficient Visual Pretraining with Contrastive Detection | Paper Explained
Aleksa Gordić - The AI Epiphany
 59 Do Vision Transformers See Like Convolutional Neural Networks? | Paper Explained
Do Vision Transformers See Like Convolutional Neural Networks? | Paper Explained
Aleksa Gordić - The AI Epiphany
 60 Fastformer: Additive Attention Can Be All You Need | Paper Explained
Fastformer: Additive Attention Can Be All You Need | Paper Explained
Aleksa Gordić - The AI Epiphany

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Chapters (14)

Intro
1:39 Getting to NeurIPS
2:40 Company booths
3:27 Poster sessions
5:22 Greg Yang (Microsoft)
8:00 Ching-pei Lee (Academia Sinica)
9:20 Zak Jost (WelcomeAIOverlords)
10:54 Ishan Misra (FAIR)
16:47 Alfredo Canziani (NYU)
18:07 Jun Wang (iWUDAO)
20:21 Ethan Caballero (Mila)
23:50 Aran Komatsuzaki (EleutherAI)
31:45 Jan Stühmer (Karlsruhe)
33:36 Outro (feat Greg Yang)
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