1. Byung Hoon Ahn , Prannoy Pilligundla , Amir Yazdanbakhsh , and Hadi Esmaeilzadeh . 2020 . Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network Compilation. In 8th International Conference on Learning Representations, ICLR 2020. Byung Hoon Ahn, Prannoy Pilligundla, Amir Yazdanbakhsh, and Hadi Esmaeilzadeh. 2020. Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network Compilation. In 8th International Conference on Learning Representations, ICLR 2020.
2. Riyadh Baghdadi , Massinissa Merouani , Mohamed-Hicham Leghettas , Kamel Abdous , Taha Arbaoui , Karima Benatchba , and Saman Amarasinghe . 2021 . A Deep Learning Based Cost Model for Automatic Code Optimization . Proceedings of Machine Learning and Systems (MLSys), 181--193 . Riyadh Baghdadi, Massinissa Merouani, Mohamed-Hicham Leghettas, Kamel Abdous, Taha Arbaoui, Karima Benatchba, and Saman Amarasinghe. 2021. A Deep Learning Based Cost Model for Automatic Code Optimization. Proceedings of Machine Learning and Systems (MLSys), 181--193.
3. Tiramisu: A Polyhedral Compiler for Expressing Fast and Portable Code
4. Machine Learning Systems are Stuck in a Rut
5. Greg Brockman Vicki Cheung Ludwig Pettersson Jonas Schneider John Schulman Jie Tang and Wojciech Zaremba. 2016. OpenAI Gym. (June 2016). arXiv:1606.01540 Greg Brockman Vicki Cheung Ludwig Pettersson Jonas Schneider John Schulman Jie Tang and Wojciech Zaremba. 2016. OpenAI Gym. (June 2016). arXiv:1606.01540