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Spotlight
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Mon 21:46
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The Traveling Observer Model: Multi-task Learning Through Spatial Variable Embeddings
Elliot Meyerson · Risto Miikkulainen
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Poster
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Thu 9:00
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Neural Spatio-Temporal Point Processes
Tian Qi Chen · Brandon Amos · Maximilian Nickel
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Poster
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Tue 17:00
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Linear Mode Connectivity in Multitask and Continual Learning
Seyed Iman Mirzadeh · Mehrdad Farajtabar · Dilan Gorur · Razvan Pascanu · Hassan Ghasemzadeh
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Poster
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Thu 17:00
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Fully Unsupervised Diversity Denoising with Convolutional Variational Autoencoders
Mangal Prakash · Alexander Krull · Florian Jug
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Poster
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Wed 1:00
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Auxiliary Task Update Decomposition: The Good, the Bad and the Neutral
Lucio Dery · Yann Dauphin · David Grangier
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Poster
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Wed 17:00
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Influence Functions in Deep Learning Are Fragile
Samyadeep Basu · Phil Pope · Soheil Feizi
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Poster
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Thu 1:00
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Categorical Normalizing Flows via Continuous Transformations
Phillip Lippe · Efstratios Gavves
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Poster
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Mon 17:00
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Offline Model-Based Optimization via Normalized Maximum Likelihood Estimation
Justin Fu · Sergey Levine
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Poster
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Thu 9:00
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Directed Acyclic Graph Neural Networks
Veronika Thost · Jie Chen
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Poster
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Thu 9:00
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Gradient Vaccine: Investigating and Improving Multi-task Optimization in Massively Multilingual Models
Zirui Wang · Yulia Tsvetkov · Orhan Firat · Yuan Cao
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Poster
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Mon 17:00
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SOLAR: Sparse Orthogonal Learned and Random Embeddings
Tharun Kumar Reddy Medini · Beidi Chen · Anshumali Shrivastava
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Spotlight
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Wed 12:38
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Sequential Density Ratio Estimation for Simultaneous Optimization of Speed and Accuracy
Akinori Ebihara · Taiki Miyagawa · Kazuyuki Sakurai · Hitoshi Imaoka
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