Workshop
|
Fri 12:58
|
CIGMO: Learning categorical invariant deep generative models from grouped data
Haruo Hosoya
|
|
Poster
|
Tue 9:00
|
Reducing the Computational Cost of Deep Generative Models with Binary Neural Networks
Thomas Bird · Friso Kingma · David Barber
|
|
Poster
|
Tue 1:00
|
Capturing Label Characteristics in VAEs
Tom Joy · Sebastian Schmon · Philip Torr · Siddharth N · Tom Rainforth
|
|
Poster
|
Wed 1:00
|
Gradient Origin Networks
Sam Bond-Taylor · Chris G Willcocks
|
|
Workshop
|
Fri 15:10
|
On Linear Interpolation in the Latent Space of Deep Generative Models
Mike Yan Michelis · Quentin Becker
|
|
Poster
|
Wed 9:00
|
Modeling the Second Player in Distributionally Robust Optimization
Paul Michel · Tatsunori Hashimoto · Graham Neubig
|
|
Poster
|
Wed 1:00
|
Relating by Contrasting: A Data-efficient Framework for Multimodal Generative Models
Yuge Shi · Brooks Paige · Philip Torr · Siddharth N
|
|
Poster
|
Wed 9:00
|
PC2WF: 3D Wireframe Reconstruction from Raw Point Clouds
Yujia Liu · Stefano D'Aronco · Konrad Schindler · Jan D Wegner
|
|
Poster
|
Mon 17:00
|
Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images
Rewon Child
|
|
Spotlight
|
Mon 12:55
|
Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images
Rewon Child
|
|
Poster
|
Mon 1:00
|
Randomized Ensembled Double Q-Learning: Learning Fast Without a Model
Xinyue Chen · Che Wang · Zijian Zhou · Keith Ross
|
|
Spotlight
|
Wed 12:48
|
LambdaNetworks: Modeling long-range Interactions without Attention
Irwan Bello
|
|