|
Workshop
|
Sat 9:40
|
Contributed Talk 1: "Smooth Neighbors on Teacher Graphs for Semi-supervised Learning"
|
|
|
Poster
|
Tue 18:30
|
Robust Conditional Probabilities
Yoav Wald · Amir Globerson
|
|
|
Spotlight
|
Tue 11:25
|
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen · Harri Valpola
|
|
|
Poster
|
Tue 18:30
|
VAE Learning via Stein Variational Gradient Descent
Yuchen Pu · Zhe Gan · Ricardo Henao · Chunyuan Li · Shaobo Han · Lawrence Carin
|
|
|
Poster
|
Wed 18:30
|
PixelGAN Autoencoders
Alireza Makhzani · Brendan J Frey
|
|
|
Poster
|
Wed 18:30
|
Triple Generative Adversarial Nets
Chongxuan LI · Kun Xu · Jun Zhu · Bo Zhang
|
|
|
Poster
|
Tue 18:30
|
Learning from Complementary Labels
Takashi Ishida · Gang Niu · Weihua Hu · Masashi Sugiyama
|
|
|
Poster
|
Mon 18:30
|
Toward Robustness against Label Noise in Training Deep Discriminative Neural Networks
Arash Vahdat
|
|
|
Poster
|
Tue 18:30
|
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen · Harri Valpola
|
|
|
Poster
|
Tue 18:30
|
Semisupervised Clustering, AND-Queries and Locally Encodable Source Coding
Arya Mazumdar · Soumyabrata Pal
|
|
|
Poster
|
Wed 18:30
|
Semi-supervised Learning with GANs: Manifold Invariance with Improved Inference
Abhishek Kumar · Prasanna Sattigeri · Tom Fletcher
|
|
|
Poster
|
Wed 18:30
|
Good Semi-supervised Learning That Requires a Bad GAN
Zihang Dai · Zhilin Yang · Fan Yang · William Cohen · Ruslan Salakhutdinov
|
|
