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2021

Planning and Learning with Adaptive Lookahead

Aviv Rosenberg, Assaf Hallak, Shie Mannor, Gal Chechik, Gal Dalal

Hardware Abstractions for Targeting EDDO Architectures with the Polyhedral Model

Angshuman Parashar, Prasanth Chatarasi, Po-An Tsai

Federated Learning with Heterogeneous Architectures using Graph HyperNetworks

Or Litany, Haggai Maron, David Acuna, Jan Kautz, Gal Chechik, Sanja Fidler

Standard Cell Routing with Reinforcement Learning and Genetic Algorithm in Advanced Technology Nodes

Haoxing (Mark) Ren, Matt Fojtik

Self-Supervised Learning for Domain Adaptation on Point-Clouds

Idan Achituve, Haggai Maron, Gal Chechik

From Generalized Zero-Shot Learning to Long-Tail with Class Descriptors

Dvir Samuel, Yuval Atzmon, Gal Chechik

Data-Free Knowledge Distillation for Object Detection

Akshay Chawla, Hongxu Danny Yin, Pavlo Molchanov, Jose M. Alvarez

Acting in Delayed Environments with Non-Stationary Markov Policies

Esther Derman, Gal Dalal, Shie Mannor

Flexion: A Quantitative Metric for Flexibility in DNN Accelerators

Hyoukjun Kwon, Michael Pellauer, Angshuman Parashar, Tushar Krishna