SOCML 16 Tentative Schedule
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Friday, Oct 7Cafeteria
Dropout (big poster room)
Spectral Radius (very big open area)
Unsupervised (big open area)
Harmonium (18 chairs around a table)
ImageNet (Large-ish conference room)
Attention Mechanism (Large Conference Room)
Measure Zero (Chairs around a table)
Forward PropPositive Phase
2
11:00-11:30
POSTER SESSION
Icebreakers and introductions
Web streaming room
3
11:30-12:00
POSTER SESSION
Icebreakers and introductions
Web streaming room
4
12:30-1:00
POSTER SESSION
Icebreakers and introductions
Research Roulette
Web streaming room
5
1:00-1:30LUNCH
Web streaming room
6
1:30-2:00LUNCH
Web streaming room
7
2:00-2:30
Reinforcement Learning (est 131 people)
Neuroscience and AI (est 79 people)
Promoting diversity in AI/Tech (est 18 people)
Applications
Optimization algorithms
User modeling, recommendations, and personalization
Web streaming room
8
2:30-3:00
Reinforcement Learning
Neuroscience and AI
Promoting diversity in AI/Tech
Applications
Optimization algorithms
User modeling, recommendations, and personalization
Web streaming room
9
3:00-3:30
Reinforcement Learning
Neuroscience and AI
Promoting diversity in AI/Tech
Applications
Optimization algorithms
User modeling, recommendations, and personalization
Web streaming room
10
3:30-4:00
Reinforcement Learning
Neuroscience and AI
Promoting diversity in AI/Tech
Applications
Optimization algorithms
User modeling, recommendations, and personalization
Web streaming room
11
4:00-4:30
Generative Models
AI Safety (est 71 people)
Promoting diversity in AI
Long-term, continuous machine learning
Connections Between Topics
Low-resource / low-latency deep learning
Web streaming room
AGI (est 15 people)
12
4:30-5:00
Generative Models
AI Safety
Promoting diversity in AI
Long-term, continuous machine learning
Connections Between Topics
Low-resource / low-latency deep learning
Web streaming room
AGI (est 15 people)
13
5:00-5:30
Generative Models
AI Safety
Promoting diversity in AI
Long-term, continuous machine learning
Information Retrieval
Low-resource / low-latency deep learning
Web streaming room
AGI (est 15 people)
14
5:30-6:00
Generative Models
AI Safety
Promoting diversity in AI
Long-term, continuous machine learning
Information Retrieval
Low-resource / low-latency deep learning
Web streaming room
AGI (est 15 people)
15
Web streaming room
16
Saturday, Oct 8
Web streaming room
17
11:00-11:30
POSTER SESSION
Multi-agent RL
Research roulette
Apprenticeship learning
Web streaming room
18
11:30-12:00
POSTER SESSION
Learning to communicate
Research roulette
Learning from other agents' experience
Web streaming room
19
12:00-12:30
POSTER SESSION
Model-based RL
Research roulette
Web streaming room
20
12:30-1:00
POSTER SESSION
Generative models for RL
Research roulette
Web streaming room
21
1:00-1:30LUNCH
Web streaming room
22
1:30-2:00LUNCH
Web streaming room
23
2:00-2:30
Generative Models (est 123 people)
New neural net architectures (est 79 people)
Combining neural nets and symbolic systems (est 15 people)
Machine learning for development, poverty mapping, sustainability and social good
Security and Privacy
Democratizing AI
Web streaming room
24
2:30-3:00
Generative Models
New neural net architectures
Combining neural nets and symbolic systems (est 15 people)
Machine learning for development, poverty mapping, sustainability and social good
Security and Privacy
Democratizing AI
Web streaming room
25
3:00-3:30
Generative Models
New neural net architectures
Combining neural nets and symbolic systems (est 15 people)
Machine learning for development, poverty mapping, sustainability and social good
Security and Privacy
Democratizing AI
Web streaming room
26
3:30-4:00
Generative Models
New neural net architectures
Combining neural nets and symbolic systems (est 15 people)
Machine learning for development, poverty mapping, sustainability and social good
Security and Privacy
Democratizing AI
Web streaming room
27
4:00-4:30
Reinforcement Learning (est 131 people)
Multi-task, semi-supervised, and transfer learning (est 79 people)
Economic effects of AI (est 11 people)
Causal Modeling
AI for natural HCI
Web streaming room
28
4:30-5:00
Reinforcement Learning
Multi-task, semi-supervised, and transfer learning
Economic effects of AI (est 11 people)
Causal Modeling
AI for natural HCI
Web streaming room
29
5:00-5:30
Reinforcement Learning
Multi-task, semi-supervised, and transfer learning
Economic effects of AI (est 11 people)
Causal Modeling
AI for natural HCI
Web streaming room
30
5:30-6:00
Reinforcement Learning
Multi-task, semi-supervised, and transfer learning
Economic effects of AI (est 11 people)
Causal Modeling
AI for natural HCI
Web streaming room
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