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Poster
Mon 1:00 Towards Impartial Multi-task Learning
Liyang Liu · Yi Li · Zhanghui Kuang · Jing-Hao Xue · Yimin Chen · Wenming Yang · Qingmin Liao · Wei Zhang
Poster
Mon 1:00 Deciphering and Optimizing Multi-Task Learning: a Random Matrix Approach
Malik Tiomoko · Hafiz Tiomoko Ali · Romain Couillet
Spotlight
Mon 3:30 Deciphering and Optimizing Multi-Task Learning: a Random Matrix Approach
Malik Tiomoko · Hafiz Tiomoko Ali · Romain Couillet
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 Planning from Pixels using Inverse Dynamics Models
Keiran Paster · Sheila McIlraith · Jimmy Ba
Poster
Mon 9:00 The Traveling Observer Model: Multi-task Learning Through Spatial Variable Embeddings
Elliot Meyerson · Risto Miikkulainen
Spotlight
Mon 13:40 Gradient Vaccine: Investigating and Improving Multi-task Optimization in Massively Multilingual Models
Zirui Wang · Yulia Tsvetkov · Orhan Firat · Yuan Cao
Poster
Mon 17:00 One Network Fits All? Modular versus Monolithic Task Formulations in Neural Networks
Atish Agarwala · Abhimanyu Das · Brendan Juba · Rina Panigrahy · Vatsal Sharan · Xin Wang · Qiuyi Zhang
Spotlight
Mon 19:45 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 21:46 The Traveling Observer Model: Multi-task Learning Through Spatial Variable Embeddings
Elliot Meyerson · Risto Miikkulainen
Poster
Tue 1:00 Auxiliary Learning by Implicit Differentiation
Aviv Navon · Idan Achituve · Haggai Maron · Gal Chechik · Ethan Fetaya
Poster
Tue 1:00 Learning the Pareto Front with Hypernetworks
Aviv Navon · Aviv Shamsian · Ethan Fetaya · Gal Chechik