|
Poster
|
Mon 1:00 |
Overfitting for Fun and Profit: Instance-Adaptive Data Compression Ties van Rozendaal · Iris Huijben · Taco Cohen |
|
|
Poster
|
Mon 1:00 |
Implicit Normalizing Flows Cheng Lu · Jianfei Chen · Chongxuan Li · Qiuhao Wang · Jun Zhu |
|
|
Oral
|
Mon 4:15 |
A Distributional Approach to Controlled Text Generation Muhammad Khalifa · Hady Elsahar · Marc Dymetman |
|
|
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 |
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 |
The role of Disentanglement in Generalisation Milton Montero · Casimir JH Ludwig · Rui Ponte Costa · Gaurav Malhotra · Jeffrey Bowers |
|
|
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 |
|
|
Spotlight
|
Mon 12:55 |
Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images Rewon Child |
|
|
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 |
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 |