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Archive
2024
2
April
1
Diffusion Models for Video Generation
Date: April 12, 2024 | Estimated Reading Time: 20 min | Author: Lilian Weng
February
1
Thinking about High-Quality Human Data
Date: February 5, 2024 | Estimated Reading Time: 21 min | Author: Lilian Weng
2023
5
October
1
Adversarial Attacks on LLMs
Date: October 25, 2023 | Estimated Reading Time: 33 min | Author: Lilian Weng
June
1
LLM Powered Autonomous Agents
Date: June 23, 2023 | Estimated Reading Time: 31 min | Author: Lilian Weng
March
1
Prompt Engineering
Date: March 15, 2023 | Estimated Reading Time: 21 min | Author: Lilian Weng
January
2
The Transformer Family Version 2.0
Date: January 27, 2023 | Estimated Reading Time: 46 min | Author: Lilian Weng
Large Transformer Model Inference Optimization
Date: January 10, 2023 | Estimated Reading Time: 9 min | Author: Lilian Weng
2022
4
September
1
Some Math behind Neural Tangent Kernel
Date: September 8, 2022 | Estimated Reading Time: 17 min | Author: Lilian Weng
June
1
Generalized Visual Language Models
Date: June 9, 2022 | Estimated Reading Time: 25 min | Author: Lilian Weng
April
1
Learning with not Enough Data Part 3: Data Generation
Date: April 15, 2022 | Estimated Reading Time: 28 min | Author: Lilian Weng
February
1
Learning with not Enough Data Part 2: Active Learning
Date: February 20, 2022 | Estimated Reading Time: 22 min | Author: Lilian Weng
2021
6
December
1
Learning with not Enough Data Part 1: Semi-Supervised Learning
Date: December 5, 2021 | Estimated Reading Time: 26 min | Author: Lilian Weng
September
1
How to Train Really Large Models on Many GPUs?
Date: September 24, 2021 | Estimated Reading Time: 21 min | Author: Lilian Weng
July
1
What are Diffusion Models?
Date: July 11, 2021 | Estimated Reading Time: 32 min | Author: Lilian Weng
May
1
Contrastive Representation Learning
Date: May 31, 2021 | Estimated Reading Time: 39 min | Author: Lilian Weng
March
1
Reducing Toxicity in Language Models
Date: March 21, 2021 | Estimated Reading Time: 23 min | Author: Lilian Weng
January
1
Controllable Neural Text Generation
Date: January 2, 2021 | Estimated Reading Time: 42 min | Author: Lilian Weng
2020
5
October
1
How to Build an Open-Domain Question Answering System?
Date: October 29, 2020 | Estimated Reading Time: 33 min | Author: Lilian Weng
August
1
Neural Architecture Search
Date: August 6, 2020 | Estimated Reading Time: 32 min | Author: Lilian Weng
June
1
Exploration Strategies in Deep Reinforcement Learning
Date: June 7, 2020 | Estimated Reading Time: 36 min | Author: Lilian Weng
April
1
The Transformer Family
Date: April 7, 2020 | Estimated Reading Time: 25 min | Author: Lilian Weng
January
1
Curriculum for Reinforcement Learning
Date: January 29, 2020 | Estimated Reading Time: 24 min | Author: Lilian Weng
2019
6
November
1
Self-Supervised Representation Learning
Date: November 10, 2019 | Estimated Reading Time: 38 min | Author: Lilian Weng
September
1
Evolution Strategies
Date: September 5, 2019 | Estimated Reading Time: 22 min | Author: Lilian Weng
June
1
Meta Reinforcement Learning
Date: June 23, 2019 | Estimated Reading Time: 22 min | Author: Lilian Weng
May
1
Domain Randomization for Sim2Real Transfer
Date: May 5, 2019 | Estimated Reading Time: 15 min | Author: Lilian Weng
March
1
Are Deep Neural Networks Dramatically Overfitted?
Date: March 14, 2019 | Estimated Reading Time: 22 min | Author: Lilian Weng
January
1
Generalized Language Models
Date: January 31, 2019 | Estimated Reading Time: 36 min | Author: Lilian Weng
2018
9
December
1
Object Detection Part 4: Fast Detection Models
Date: December 27, 2018 | Estimated Reading Time: 19 min | Author: Lilian Weng
November
1
Meta-Learning: Learning to Learn Fast
Date: November 30, 2018 | Estimated Reading Time: 30 min | Author: Lilian Weng
October
1
Flow-based Deep Generative Models
Date: October 13, 2018 | Estimated Reading Time: 21 min | Author: Lilian Weng
August
1
From Autoencoder to Beta-VAE
Date: August 12, 2018 | Estimated Reading Time: 21 min | Author: Lilian Weng
June
1
Attention? Attention!
Date: June 24, 2018 | Estimated Reading Time: 21 min | Author: Lilian Weng
May
1
Implementing Deep Reinforcement Learning Models with Tensorflow + OpenAI Gym
Date: May 5, 2018 | Estimated Reading Time: 13 min | Author: Lilian Weng
April
1
Policy Gradient Algorithms
Date: April 8, 2018 | Estimated Reading Time: 52 min | Author: Lilian Weng
February
1
A (Long) Peek into Reinforcement Learning
Date: February 19, 2018 | Estimated Reading Time: 31 min | Author: Lilian Weng
January
1
The Multi-Armed Bandit Problem and Its Solutions
Date: January 23, 2018 | Estimated Reading Time: 10 min | Author: Lilian Weng
2017
10
December
2
Object Detection for Dummies Part 3: R-CNN Family
Date: December 31, 2017 | Estimated Reading Time: 13 min | Author: Lilian Weng
Object Detection for Dummies Part 2: CNN, DPM and Overfeat
Date: December 15, 2017 | Estimated Reading Time: 7 min | Author: Lilian Weng
October
2
Object Detection for Dummies Part 1: Gradient Vector, HOG, and SS
Date: October 29, 2017 | Estimated Reading Time: 15 min | Author: Lilian Weng
Learning Word Embedding
Date: October 15, 2017 | Estimated Reading Time: 18 min | Author: Lilian Weng
September
1
Anatomize Deep Learning with Information Theory
Date: September 28, 2017 | Estimated Reading Time: 9 min | Author: Lilian Weng
August
2
From GAN to WGAN
Date: August 20, 2017 | Estimated Reading Time: 21 min | Author: Lilian Weng
How to Explain the Prediction of a Machine Learning Model?
Date: August 1, 2017 | Estimated Reading Time: 18 min | Author: Lilian Weng
July
2
Predict Stock Prices Using RNN: Part 2
Date: July 22, 2017 | Estimated Reading Time: 9 min | Author: Lilian Weng
Predict Stock Prices Using RNN: Part 1
Date: July 8, 2017 | Estimated Reading Time: 12 min | Author: Lilian Weng
June
1
An Overview of Deep Learning for Curious People
Date: June 21, 2017 | Estimated Reading Time: 12 min | Author: Lilian Weng