Attention Is All You Need
27:07
Attention Is All You Need
768.1K viewsNov 28, 2017
YouTubeYannic Kilcher
Mamba: Linear-Time Sequence Modeling with Selective State Spaces (Paper Explained)
40:40
Mamba: Linear-Time Sequence Modeling with Selective State Spa…
170.2K viewsDec 24, 2023
YouTubeYannic Kilcher
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis (ML Research Paper Explained)
33:56
NeRF: Representing Scenes as Neural Radiance Fields for View S…
199.3K viewsApr 19, 2021
YouTubeYannic Kilcher
Tree of Thoughts: Deliberate Problem Solving with Large Language Models (Full Paper Review)
29:29
Tree of Thoughts: Deliberate Problem Solving with Large Lang…
126.1K viewsMay 23, 2023
YouTubeYannic Kilcher
All about AI Accelerators: GPU, TPU, Dataflow, Near-Memory, Optical, Neuromorphic & more (w/ Author)
1:02:35
All about AI Accelerators: GPU, TPU, Dataflow, Near-Memory, Opti…
85.8K viewsFeb 20, 2022
YouTubeYannic Kilcher
[Paper Analysis] The Free Transformer (and some Variational Autoencoder stuff)
40:10
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22.1K views4 months ago
YouTubeYannic Kilcher
Flow Matching for Generative Modeling (Paper Explained)
56:16
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98.9K viewsApr 8, 2024
YouTubeYannic Kilcher
Yannic Kilcher Interview (Part 1)
57:14
Yannic Kilcher Interview (Part 1)
14.1K viewsJun 24, 2023
YouTubeMachine Learning Street Talk
On the Biology of a Large Language Model (Part 1)
54:05
On the Biology of a Large Language Model (Part 1)
56.6K views11 months ago
YouTubeYannic Kilcher
Byte Latent Transformer: Patches Scale Better Than Tokens (Paper Explained)
36:15
Byte Latent Transformer: Patches Scale Better Than Tokens (Paper …
47.4K viewsDec 24, 2024
YouTubeYannic Kilcher
Titans: Learning to Memorize at Test Time (Paper Analysis)
32:31
Titans: Learning to Memorize at Test Time (Paper Analysis)
21.9K views3 months ago
YouTubeYannic Kilcher
Concept Learning with Energy-Based Models (Paper Explained)
39:29
Concept Learning with Energy-Based Models (Paper Explained)
38.7K viewsMay 11, 2020
YouTubeYannic Kilcher
Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters (Paper)
53:02
Scaling LLM Test-Time Compute Optimally can be More Effective th…
30.8K viewsOct 5, 2024
YouTubeYannic Kilcher
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
40:13
BERT: Pre-training of Deep Bidirectional Transformers for La…
111.5K viewsJan 30, 2019
YouTubeYannic Kilcher
Machine Learning PhD Survival Guide 2021 | Advice on Topic Selection, Papers, Conferences & more!
16:27
Machine Learning PhD Survival Guide 2021 | Advice on Topic Sele…
88.4K viewsMar 30, 2021
YouTubeYannic Kilcher
JEPA - A Path Towards Autonomous Machine Intelligence (Paper Explained)
59:38
JEPA - A Path Towards Autonomous Machine Intelligenc…
84.2K viewsJul 6, 2022
YouTubeYannic Kilcher
Grokking: Generalization beyond Overfitting on small algorithmic datasets (Paper Explained)
29:47
Grokking: Generalization beyond Overfitting on small algorithmic d…
82.4K viewsOct 6, 2021
YouTubeYannic Kilcher
ORPO: Monolithic Preference Optimization without Reference Model (Paper Explained)
33:26
ORPO: Monolithic Preference Optimization without Reference M…
25.7K viewsMay 1, 2024
YouTubeYannic Kilcher
Neural Architecture Search without Training (Paper Explained)
35:06
Find in video from 01:58Problem with Reinforcement Learning Approach
Neural Architecture Search without Training (Paper Explained)
30.3K viewsJul 21, 2020
YouTubeYannic Kilcher
Shortcut Learning in Deep Neural Networks
49:12
Find in video from 02:10Example of Shortcut Learning with Stars and Moons
Shortcut Learning in Deep Neural Networks
11K viewsApr 18, 2020
YouTubeYannic Kilcher
Decision Transformer: Reinforcement Learning via Sequence Modeling (Research Paper Explained)
56:49
Find in video from 04:08Offline Reinforcement Learning
Decision Transformer: Reinforcement Learning via Sequ…
69.2K viewsJun 5, 2021
YouTubeYannic Kilcher
[GRPO Explained] DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
1:09:00
[GRPO Explained] DeepSeekMath: Pushing the Limits of Mathematic…
166.5K viewsJan 26, 2025
YouTubeYannic Kilcher
Deep Networks Are Kernel Machines (Paper Explained)
43:04
Deep Networks Are Kernel Machines (Paper Explained)
63K viewsFeb 4, 2021
YouTubeYannic Kilcher
V-JEPA: Revisiting Feature Prediction for Learning Visual Representations from Video (Explained)
50:03
Find in video from 18:00Unsupervised Feature Learning
V-JEPA: Revisiting Feature Prediction for Learning Visual Re…
54.2K viewsFeb 19, 2024
YouTubeYannic Kilcher
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (Paper Explained)
29:56
An Image is Worth 16x16 Words: Transformers for Image Recogniti…
387.2K viewsOct 4, 2020
YouTubeYannic Kilcher
Energy-Based Transformers are Scalable Learners and Thinkers (Paper Review)
47:51
Energy-Based Transformers are Scalable Learners and Thinkers (P…
30.8K views8 months ago
YouTubeYannic Kilcher
xLSTM: Extended Long Short-Term Memory
57:00
xLSTM: Extended Long Short-Term Memory
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YouTubeYannic Kilcher
On the Biology of a Large Language Model (Part 2)
56:26
On the Biology of a Large Language Model (Part 2)
17.1K views10 months ago
YouTubeYannic Kilcher
Safety Alignment Should be Made More Than Just a Few Tokens Deep (Paper Explained)
48:53
Safety Alignment Should be Made More Than Just a Few Tokens Dee…
13.3K viewsDec 10, 2024
YouTubeYannic Kilcher
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
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Batch Normalization: Accelerating Deep Network Training by Reduci…
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YouTubeYannic Kilcher
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