|
Workshop
|
Sat 7:15
|
1.9 Bayesian optimization for Iterative Learning
Vu Nguyen
|
|
|
Poster
|
Thu 15:00
|
Deep Streaming Label Learning
Zhen Wang · Liu Liu · Dacheng Tao
|
|
|
Workshop
|
Sat 7:25
|
1.16 Learning to Prune Deep Neural Networks via Reinforcement Learning
Manas Gupta
|
|
|
Poster
|
Wed 16:00
|
Unsupervised Transfer Learning for Spatiotemporal Predictive Networks
Zhiyu Yao · Yunbo Wang · Mingsheng Long · Jianmin Wang
|
|
|
Affinity Workshop
|
Mon 10:00
|
Deep Clustering Self-Organizing Maps with Relevance Learning
Heitor Medeiros
|
|
|
Affinity Workshop
|
Mon 0:35
|
Breakout Session 1.3: Deep Learning for Natural Language Processing in Low Resource Settings
|
|
|
Workshop
|
Fri 13:45
|
[Session 1] P#07 Inverse Problems, Deep Learning, and Symmetry Breaking
|
|
|
Workshop
|
Sat 3:45
|
Contributed Talk: Continual Deep Learning by Functional Regularisation of Memorable Past
Siddharth Swaroop
|
|
|
Workshop
|
|
Continual Deep Learning by Functional Regularisation of Memorable Past
|
|
|
Workshop
|
Sat 11:30
|
Deep Active Learning Toward Crisis-related Tweets Classification
Shiva Ebrahimi
|
|
|
Poster
|
Tue 14:00
|
Why bigger is not always better: on finite and infinite neural networks
Laurence Aitchison
|
|
|
Poster
|
Tue 9:00
|
Disentangling Trainability and Generalization in Deep Neural Networks
Lechao Xiao · Jeffrey Pennington · Samuel Schoenholz
|
|
