Skip to yearly menu bar Skip to main content


Search All 2021 Events
 

162 Results

<<   <   Page 2 of 14   >   >>
Poster
Mon 17:00 On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning
Ren Wang · Kaidi Xu · Sijia Liu · Pin-Yu Chen · Tsui-Wei Weng · Chuang Gan · Meng Wang
Poster
Thu 9:00 Learning to Recombine and Resample Data For Compositional Generalization
Ekin Akyürek · Afra Feyza Akyürek · Jacob Andreas
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
Thu 1:00 Repurposing Pretrained Models for Robust Out-of-domain Few-Shot Learning
Namyeong Kwon · Hwidong Na · Gabriel Huang · Simon Lacoste-Julien
Poster
Thu 9:00 Model-Based Offline Planning
Arthur Argenson · Gabriel Dulac-Arnold
Poster
Mon 1:00 MELR: Meta-Learning via Modeling Episode-Level Relationships for Few-Shot Learning
Nanyi Fei · Zhiwu Lu · Tao Xiang · Songfang Huang
Poster
Wed 1:00 Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization
Tatsuya Matsushima · Hiroki Furuta · Yutaka Matsuo · Ofir Nachum · Shixiang Gu
Poster
Thu 1:00 Conditional Generative Modeling via Learning the Latent Space
Sameera Ramasinghe · Kanchana Ranasinghe · Salman Khan · Nick Barnes · Stephen Gould
Poster
Wed 1:00 Negative Data Augmentation
Abhishek Sinha · Kumar Ayush · Jiaming Song · Burak Uzkent · Hongxia Jin · Stefano Ermon
Poster
Mon 9:00 Share or Not? Learning to Schedule Language-Specific Capacity for Multilingual Translation
Biao Zhang · Ankur Bapna · Rico Sennrich · Orhan Firat
Poster
Wed 1:00 Gradient Origin Networks
Sam Bond-Taylor · Chris G Willcocks
Poster
Tue 1:00 Capturing Label Characteristics in VAEs
Tom Joy · Sebastian Schmon · Philip Torr · Siddharth N · Tom Rainforth