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Poster
Mon 1:00 Implicit Normalizing Flows
Cheng Lu · Jianfei Chen · Chongxuan Li · Qiuhao Wang · Jun Zhu
Poster
Mon 1:00 Overfitting for Fun and Profit: Instance-Adaptive Data Compression
Ties van Rozendaal · Iris Huijben · Taco Cohen
Oral
Mon 4:15 A Distributional Approach to Controlled Text Generation
Muhammad Khalifa · Hady Elsahar · Marc Dymetman
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 Seq2Tens: An Efficient Representation of Sequences by Low-Rank Tensor Projections
Csaba Toth · Patric Bonnier · Harald Oberhauser
Poster
Mon 9:00 Structured Prediction as Translation between Augmented Natural Languages
Giovanni Paolini · Ben Athiwaratkun · Jason Krone · Jie Ma · Alessandro Achille · RISHITA ANUBHAI · Cicero Nogueira dos Santos · Bing Xiang · Stefano Soatto
Poster
Mon 9:00 The role of Disentanglement in Generalisation
Milton Montero · Casimir JH Ludwig · Rui Ponte Costa · Gaurav Malhotra · Jeffrey Bowers
Spotlight
Mon 12:55 Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images
Rewon Child
Poster
Mon 17:00 Decentralized Attribution of Generative Models
Changhoon Kim · Yi Ren · 'YZ' Yezhou Yang
Poster
Mon 17:00 Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images
Rewon Child
Poster
Mon 17:00 Score-Based Generative Modeling through Stochastic Differential Equations
Yang Song · Jascha Sohl-Dickstein · Durk Kingma · Abhishek Kumar · Stefano Ermon · Ben Poole
Poster
Mon 17:00 Learning Energy-Based Models by Diffusion Recovery Likelihood
Ruiqi Gao · Yang Song · Ben Poole · Yingnian Wu · Durk Kingma