Picture for Yuri Burda

Yuri Burda

Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets

Add code
Jan 06, 2022
Figure 1 for Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets
Figure 2 for Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets
Figure 3 for Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets
Figure 4 for Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets
Viaarxiv icon

Evaluating Large Language Models Trained on Code

Add code
Jul 14, 2021
Figure 1 for Evaluating Large Language Models Trained on Code
Figure 2 for Evaluating Large Language Models Trained on Code
Figure 3 for Evaluating Large Language Models Trained on Code
Figure 4 for Evaluating Large Language Models Trained on Code
Viaarxiv icon

Exploration by Random Network Distillation

Add code
Oct 30, 2018
Figure 1 for Exploration by Random Network Distillation
Figure 2 for Exploration by Random Network Distillation
Figure 3 for Exploration by Random Network Distillation
Figure 4 for Exploration by Random Network Distillation
Viaarxiv icon

Large-Scale Study of Curiosity-Driven Learning

Add code
Aug 13, 2018
Figure 1 for Large-Scale Study of Curiosity-Driven Learning
Figure 2 for Large-Scale Study of Curiosity-Driven Learning
Figure 3 for Large-Scale Study of Curiosity-Driven Learning
Figure 4 for Large-Scale Study of Curiosity-Driven Learning
Viaarxiv icon

Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments

Add code
Feb 23, 2018
Figure 1 for Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments
Figure 2 for Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments
Figure 3 for Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments
Figure 4 for Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments
Viaarxiv icon

On the Quantitative Analysis of Decoder-Based Generative Models

Add code
Jun 06, 2017
Figure 1 for On the Quantitative Analysis of Decoder-Based Generative Models
Figure 2 for On the Quantitative Analysis of Decoder-Based Generative Models
Figure 3 for On the Quantitative Analysis of Decoder-Based Generative Models
Figure 4 for On the Quantitative Analysis of Decoder-Based Generative Models
Viaarxiv icon

Importance Weighted Autoencoders

Add code
Nov 07, 2016
Figure 1 for Importance Weighted Autoencoders
Figure 2 for Importance Weighted Autoencoders
Viaarxiv icon

Accurate and Conservative Estimates of MRF Log-likelihood using Reverse Annealing

Dec 30, 2014
Figure 1 for Accurate and Conservative Estimates of MRF Log-likelihood using Reverse Annealing
Figure 2 for Accurate and Conservative Estimates of MRF Log-likelihood using Reverse Annealing
Figure 3 for Accurate and Conservative Estimates of MRF Log-likelihood using Reverse Annealing
Figure 4 for Accurate and Conservative Estimates of MRF Log-likelihood using Reverse Annealing
Viaarxiv icon