Key moments
Housekeeping Items
Housekeeping Items
11:11
Housekeeping Items
11:11
Keynote
Keynote
19:14
Keynote
19:14
Unbiased Data Augmentation
Unbiased Data Augmentation
43:54
Differentiable Model
Differentiable Model
45:43
Differentiable Model
45:43
Loss Function
Loss Function
46:39
Loss Function
46:39
Raising Talent
Raising Talent
50:10
Raising Talent
50:10
Generation of Temporal Data
Generation of Temporal Data
56:43
Application on Reconstruction
Application on Reconstruction
1:03:55
Application on Reconstruction
1:03:55
Pablo Simon Castro
Pablo Simon Castro
1:08:41
Pablo Simon Castro
1:08:41
Algorithmic Variation
Algorithmic Variation
1:10:17
Algorithmic Variation
1:10:17
Launch Statistics
Launch Statistics
1:11:10
Launch Statistics
1:11:10
Code Statistics
Code Statistics
1:12:10
Code Statistics
1:12:10
Tensor Board Integration
Tensor Board Integration
1:13:06
Tensor Board Integration
1:13:06
Reproducibility
Reproducibility
1:14:27
Reproducibility
1:14:27
Jin Config
Jin Config
1:15:18
Jin Config
1:15:18
Python Injection
Python Injection
1:15:21
Python Injection
1:15:21
Create an Agent Completely from Scratch
Create an Agent Completely from Scratch
1:19:39
Support for Non Atari Game
Support for Non Atari Game
1:21:07
Support for Non Atari Game
1:21:07
The Pilot Parliament's Benchmark
The Pilot Parliament's Benchmark
1:26:59
The Pilot Parliament's Benchmark
1:26:59
Data Sheets for Data Sets
Data Sheets for Data Sets
1:28:00
Data Sheets for Data Sets
1:28:00
Model Details
Model Details
1:31:15
Model Details
1:31:15
Unintended Use Cases
Unintended Use Cases
1:32:42
Unintended Use Cases
1:32:42
Penny Auc
Penny Auc
1:33:44
Penny Auc
1:33:44
Ethical Considerations
Ethical Considerations
1:35:11
Ethical Considerations
1:35:11
Limitations
Limitations
1:35:52
Limitations
1:35:52
Quantitative Analysis
Quantitative Analysis
1:36:19
Quantitative Analysis
1:36:19
Difference between Version 1 and Version 5
Difference between Version 1 and Version 5
1:37:13
Transfer Learning Approach
Transfer Learning Approach
1:43:38
Transfer Learning Approach
1:43:38
Wrap-Up
Wrap-Up
1:45:45
Wrap-Up
1:45:45
Qualitative Evaluation
Qualitative Evaluation
1:48:50
Qualitative Evaluation
1:48:50
Conclusions
Conclusions
1:50:10
Conclusions
1:50:10
Background
Background
1:52:09
Background
1:52:09
Emotion Recognition Model
Emotion Recognition Model
1:57:27
Emotion Recognition Model
1:57:27
Explained Ability
Explained Ability
1:59:38
Explained Ability
1:59:38
Verbal Fluency Test
Verbal Fluency Test
2:01:54
Verbal Fluency Test
2:01:54
Voting Scheme between the Global and Local Strategies
Voting Scheme between the Global and Local Strategies
2:08:39
Evaluation
Evaluation
2:09:22
Evaluation
2:09:22
Why Interpretability
Why Interpretability
2:15:09
Why Interpretability
2:15:09
Limitations in Observational Data
Limitations in Observational Data
2:15:48
Type of Interpreting Models
Type of Interpreting Models
2:17:15
Type of Interpreting Models
2:17:15
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