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Poster
Mon 1:00 Batch Reinforcement Learning Through Continuation Method
Yijie Guo · Shengyu Feng · Nicolas Le Roux · Ed H. Chi · Honglak Lee · Minmin Chen
Poster
Mon 1:00 Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets
Hayeon Lee · Eunyoung Hyung · Sung Ju Hwang
Poster
Mon 1:00 A Good Image Generator Is What You Need for High-Resolution Video Synthesis
Yu Tian · Jian Ren · Menglei Chai · Kyle Olszewski · Xi Peng · Dimitris Metaxas · Sergey Tulyakov
Poster
Mon 9:00 Unsupervised Meta-Learning through Latent-Space Interpolation in Generative Models
Siavash Khodadadeh · Sharare Zehtabian · Saeed Vahidian · Weijia Wang · Bill Lin · Ladislau Boloni
Poster
Mon 9:00 Disentangling 3D Prototypical Networks for Few-Shot Concept Learning
Mihir Prabhudesai · Shamit Lal · Darshan Patil · Hsiao-Yu Tung · Adam Harley · Katerina Fragkiadaki
Poster
Mon 17:00 Learning Energy-Based Models by Diffusion Recovery Likelihood
Ruiqi Gao · Yang Song · Ben Poole · Yingnian Wu · Durk Kingma
Poster
Mon 17:00 Regularized Inverse Reinforcement Learning
Wonseok Jeon · Chen-Yang Su · Paul Barde · Thang Doan · Derek Nowrouzezahrai · Joelle Pineau
Poster
Mon 17:00 PseudoSeg: Designing Pseudo Labels for Semantic Segmentation
Yuliang Zou · Zizhao Zhang · Han Zhang · Chun-Liang Li · Xiao Bian · Jia-Bin Huang · Tomas Pfister
Poster
Tue 1:00 Generalized Multimodal ELBO
Thomas Sutter · Imant Daunhawer · Julia E Vogt
Poster
Tue 1:00 Model-based micro-data reinforcement learning: what are the crucial model properties and which model to choose?
Balázs Kégl · Gabriel Hurtado · Albert Thomas
Poster
Tue 9:00 Decoupling Global and Local Representations via Invertible Generative Flows
Xuezhe Ma · Xiang Kong · Shanghang Zhang · Eduard H Hovy
Poster
Tue 9:00 Text Generation by Learning from Demonstrations
Richard Yuanzhe Pang · He He