Time |
Title |
Speaker |
8:50 |
Welcome(s) |
|
9:00 |
Network dissection: quantifying interpretability of deep networks |
Prof. Antonio Torralba (Massachusetts Institute of Technology) |
9:30 |
Learning Deep Structured Models |
Prof. Raquel Urtasun (University of Toronto) |
10:00 |
Break |
|
10:30 |
Deep Understanding of Faces |
Prof. Rama Chellappa (University of Maryland) |
11:00 |
Acoustic Word Embeddings |
Prof. Karen Livescu (Toyota Technological Institute at Chicago) |
11:30 |
Learning Deep Models of Language from Interaction |
Prof. Hal Daume (University of Maryland) |
12:00 |
Lunch |
|
1:30 |
Efficient Representation of Low-dimensional Manifolds using Deep Networks |
Prof. David Jacobs (University of Maryland) |
2:00 |
Deep Projection Models for Solving Linear Inverse Problems |
Prof. Aswin C Sankaranarayanan (Carnegie Mellon University) |
2:30 |
Deep Networks and Beyond |
Prof. Alan Yuille (Johns Hopkins University) |
3:00 |
Break |
|
3:30 |
Speech Recognition Breakthroughs with CNTK |
Dr. Xuedong Huang (Microsoft) |
4:00 |
Addressing Computational and Statistical Gaps with Deep Neural Networks |
Prof. Joan Bruna Estrach (New York University) |
4:30 |
Top-down Mechanisms in Bottom-up Deep Networks |
Prof. Abhinav Shrivastava (University of Maryland) |