Filter by Keyword:

37 Results

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 MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space
Tsz Him Cheung, Dit-Yan Yeung
Poster
Mon 1:00 Wasserstein-2 Generative Networks
Alexander Korotin, Vage Egiazarian, Arip Asadulaev, Alexander Safin, Evgeny Burnaev
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 Learning Invariant Representations for Reinforcement Learning without Reconstruction
Amy Zhang, Rowan T McAllister, Roberto Calandra, Yarin Gal, Sergey Levine
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 Planning from Pixels using Inverse Dynamics Models
Keiran Paster, Sheila McIlraith, Jimmy Ba
Poster
Mon 9:00 Using latent space regression to analyze and leverage compositionality in GANs
Lucy Chai, Jonas Wulff, Phillip Isola
Poster
Mon 17:00 Representation Learning for Sequence Data with Deep Autoencoding Predictive Components
Junwen Bai, Weiran Wang, Yingbo Zhou, Caiming Xiong
Poster
Tue 1:00 not-MIWAE: Deep Generative Modelling with Missing not at Random Data
Niels Ipsen, Pierre-Alexandre Mattei, Jes Frellsen
Poster
Tue 1:00 Group Equivariant Conditional Neural Processes
Makoto Kawano, Wataru Kumagai, Akiyoshi Sannai, Yusuke Iwasawa, Yutaka Matsuo
Poster
Tue 1:00 Generalized Energy Based Models
Michael Arbel, Liang Zhou, Arthur Gretton
Poster
Tue 9:00 VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models
Zhisheng Xiao, Karsten Kreis, Jan Kautz, Arash Vahdat
Poster
Tue 9:00 Interpreting Knowledge Graph Relation Representation from Word Embeddings
Carl Allen, Ivana Balazevic, Timothy Hospedales
Poster
Tue 17:00 Denoising Diffusion Implicit Models
Jiaming Song, Chenlin Meng, Stefano Ermon
Poster
Tue 17:00 Enjoy Your Editing: Controllable GANs for Image Editing via Latent Space Navigation
Peiye Zhuang, Sanmi Koyejo, Alex Schwing
Poster
Wed 1:00 Improving Relational Regularized Autoencoders with Spherical Sliced Fused Gromov Wasserstein
Khai Nguyen, Son Nguyen, Nhat Ho, Tung Pham, Hung Bui
Poster
Wed 9:00 Mastering Atari with Discrete World Models
Danijar Hafner, Timothy Lillicrap, Mohammad Norouzi, Jimmy Ba
Poster
Wed 9:00 Anytime Sampling for Autoregressive Models via Ordered Autoencoding
Yilun Xu, Yang Song, Sahaj Garg, Linyuan Gong, Rui Shu, Aditya Grover, Stefano Ermon
Oral
Wed 11:30 Learning Invariant Representations for Reinforcement Learning without Reconstruction
Amy Zhang, Rowan T McAllister, Roberto Calandra, Yarin Gal, Sergey Levine
Spotlight
Wed 13:28 VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models
Zhisheng Xiao, Karsten Kreis, Jan Kautz, Arash Vahdat
Poster
Wed 17:00 Revisiting Dynamic Convolution via Matrix Decomposition
Yunsheng Li, Yinpeng Chen, Xiyang Dai, mengchen liu, Dongdong Chen, Ye Yu, Lu Yuan, Zicheng Liu, Mei Chen, Nuno Vasconcelos
Poster
Wed 17:00 Control-Aware Representations for Model-based Reinforcement Learning
Brandon Cui, Yinlam Chow, Mohammad Ghavamzadeh
Poster
Wed 17:00 A Geometric Analysis of Deep Generative Image Models and Its Applications
Binxu Wang, Carlos Ponce
Spotlight
Wed 19:15 GAN "Steerability" without optimization
Nurit Spingarn Eliezer, Ron Banner, Tomer Michaeli
Poster
Thu 1:00 An Unsupervised Deep Learning Approach for Real-World Image Denoising
Dihan Zheng, Sia Huat Tan, Xiaowen Zhang, Zuoqiang Shi, Kaisheng Ma, Chenglong Bao
Poster
Thu 1:00 Conditional Generative Modeling via Learning the Latent Space
Sameera Ramasinghe, Kanchana Ranasinghe, Salman Khan, Nick Barnes, Stephen Gould
Poster
Thu 1:00 GAN "Steerability" without optimization
Nurit Spingarn Eliezer, Ron Banner, Tomer Michaeli
Poster
Thu 9:00 Flowtron: an Autoregressive Flow-based Generative Network for Text-to-Speech Synthesis
Rafael Valle, Kevin J Shih, Ryan Prenger, Bryan Catanzaro
Poster
Thu 17:00 Neural representation and generation for RNA secondary structures
Zichao Yan, Will Hamilton, Mathieu Blanchette
Poster
Thu 17:00 Clustering-friendly Representation Learning via Instance Discrimination and Feature Decorrelation
Yaling Tao, Kentaro Takagi, Kouta Nakata
Poster
Thu 17:00 Learning perturbation sets for robust machine learning
Eric Wong, Zico Kolter
Spotlight
Thu 20:05 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
Workshop
Fri 8:16 Contributed Talk 1 - On the Benefits of Defining Vicinal Distributions in Latent Space
Puneet Mangla
Workshop
Fri 11:10 Oral 2: Yangjun Ruan et al., Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding
Yang Yang
Workshop
Fri 11:50 Spotlight 10: Leonhard Helminger et al., Lossy Image Compression with Normalizing Flows
Workshop
Fri 15:10 On Linear Interpolation in the Latent Space of Deep Generative Models
Mike Yan Michelis, Quentin Becker