Doron Laadan, Roman Vainshtein, Yarden Curiel and

Gilad Katz, Lior Rokach

Keywords Abstract Paper

tpot, meta-learning, genetic programming(gp), automl

Chaoyu Guan, Xin Wang, wenwu zhu

Keywords Abstract Paper

Algorithms, AutoML

Chris Cummins, Zacharias Fisches, Tal Ben-Nun and

Torsten Hoefler, Michael O'Boyle, Hugh Leather

Keywords Abstract Paper

Applications, Hardware and Systems

Sam Kaufman, Mangpo Phothilimthana, Yanqi Zhou and

Charith Mendis, Sudip Roy, Amit Sabne, Mike Burrows

Keywords Abstract Paper

Travis Dick, Wesley Pegden, Maria-Florina Balcan

Keywords Abstract Paper

Yi Li, Yilun Jin, Guojie Song and

Zihao Zhu, Chuan Shi, Yiming Wang

Keywords Abstract Paper

Mike Laszkiewicz, Asja Fischer, Johannes Lederer

Keywords Abstract Paper

yanqiz Zhou, Sudip Roy, Amirali Abdolrashidi and

Daniel Wong, Peter Ma, Qiumin Xu, Hanxiao Liu, Phitchaya Phothilimtha, Shen Wang, Anna Goldie, Azalia Mirhoseini, James Laudon

Keywords Abstract Paper

Zimin Chen, Vincent J Hellendoorn, Pascal Lamblin and

Petros Maniatis, Pierre-Antoine Manzagol, Daniel Tarlow, Subhodeep Moitra

Keywords Abstract Paper

deep learning, machine learning, transformers, graph learning

Shauharda Khadka, Estelle Aflalo, Mattias Marder and

Avrech Ben-David, Santiago Miret, Shie Mannor, Tamir Hazan, Hanlin Tang, Somdeb Majumdar

Keywords Abstract Paper

Evolutionary Algorithms, Device Placement, Memory Mapping, Reinforcement Learning

André Hottung, Bhanu Bhandari, Kevin Tierney

Keywords Abstract Paper

traveling salesperson problem, learning to optimize, heuristic search, variational autoencoders, vehicle routing problem, routing problems, combinatorial optimization

Esteban Real, Chen Liang, David So, Quoc Le

Keywords Abstract Paper

Transfer, Multitask and Meta-learning

Benno Stein, Bor-Yuh Evan Chang, Manu Sridharan

Keywords Abstract Paper

Abstract interpretation, Incremental computation, Demand-driven query evaluation, Demanded fixed points

Sameera Ramasinghe, Kanchana Ranasinghe, Salman Khan and

Nick Barnes, Stephen Gould

Keywords Abstract Paper

Generative Modeling, Conditional Generation, Multimodal Spaces

Jingxuan He, Gagandeep Singh, Markus Püschel, Martin Vechev

Keywords Abstract Paper

Abstract interpretation, Performance optimization, Machine learning, Numerical domains

Hongyu Zhu, Amar Phanishayee, Gennady Pekhimenko

Keywords Abstract Paper

Jakub Tarnawski, Amar Phanishayee, Nikhil Devanur and

Divya Mahajan, Fanny Nina Paravecino

Keywords Abstract Paper

Guy Rotman, Roi Reichart

Keywords Abstract Paper

Low Parsing, sequence tasks, Deep Self-training, Neural parsing

Vincent J. Hellendoorn, Charles Sutton, Rishabh Singh and

Petros Maniatis, David Bieber

Keywords Abstract Paper

Models of Source Code, Graph Neural Networks, Structured Learning

Subhabrata Dutta, Tanya Gautam, Soumen Chakrabarti, Tanmoy Chakraborty

Keywords Abstract Paper

deep learning, transformers

Zhili Wang, Shimin DI, Lei Chen

Keywords Abstract Paper

deep learning, machine learning, graph learning

Sara Bernardini, Fabio Fagnani, Chiara Piacentini

Keywords Abstract Paper

Greedy algorithms, Submodularity, Sequence functions, Search, Scheduling, Recommender Systems

Hao Huang, Guodong Long, Tao Shen and

Jing Jiang, Chengqi Zhang

Keywords Abstract Paper

Daiyi Peng, Xuanyi Dong, Esteban Real and

Mingxing Tan, Yifeng Lu, Gabriel Bender, Hanxiao Liu, Adam Kraft, Chen Liang, Quoc V Le

Keywords Abstract Paper

Guohao Li, Guocheng Qian, Itzel C. Delgadillo and

Matthias Müller, Ali Thabet, Bernard Ghanem

Keywords Abstract Paper

neural architecture search, degenerate search-evaluation correlation, cnn, gcn, image classification, point cloud classification, node classification on biological graphs, greedy search

Xiangru Huang, Haitao Yang, Etienne Vouga, Qixing Huang

Keywords Abstract Paper

Anselm Paulus, Michal Rolinek, Vit Musil and

Brandon Amos, Georg Martius

Keywords Abstract Paper

Optimization, Combinatorial Optimization

Jie Zhao, Bojie Li, Wang Nie and

Zhen Geng, Renwei Zhang, Xiong Gao, Bin Cheng, Chen Wu, Yun Cheng, Zheng Li, Peng Di, Kun Zhang, Xuefeng Jin

Keywords Abstract Paper

neural networks, neural processing units, polyhedral model, code generation, auto-tuning

Giovanni Pellegrini, Alessandro Tibo, Paolo Frasconi and

Andrea Passerini, Manfred Jaeger

Keywords Abstract Paper

Machine Learning, Deep Learning, Multi-instance; Multi-label; Multi-view learning, Relational Learning

Sahil Manchanda, Akash MITTAL, Anuj Dhawan and

Sourav Medya, Sayan Ranu, Ambuj K Singh

Keywords Abstract Paper

Menghao Li, Minjia Zhang, Chi Wang, Mingqin Li

Keywords Abstract Paper

Martin Pavlovski, Jelena Gligorijevic, Ivan Stojkovic and

Shubham Agrawal, Shabhareesh Komirishetty, Djordje Gligorijevic, Narayan Bhamidipati, Zoran Obradovic

Keywords Abstract Paper

sequential models, user representation, neural embeddings

Izzeddin Gur, Natasha Jaques, Yingjie Miao and

Jongwook Choi, Manoj Tiwari, Honglak Lee, Aleksandra Faust

Keywords Abstract Paper

reinforcement learning and planning, robustness, graph learning

QUANMING YAO, Hansi Yang, Bo Han and

Gang Niu, James Kwok

Keywords Abstract Paper

Transfer, Multitask and Meta-learning

Supun Nakandala, Karla Saur, Gyeong-In Yu and

Konstantinos Karanasos, Carlo Curino, Markus Weimer, Matteo Interlandi

Keywords Abstract Paper

Minseok Jeon, Myungho Lee, Hakjoo Oh

Keywords Abstract Paper

Context sensitivity, Pointer analysis, Data-driven static analysis, Heap abstraction, Machine learning for program analysis

Thanh Lam Hoang, Gabriele Picco, Yufang Hou and

Young-Suk Lee, Lam Nguyen, Dzung Phan, Vanessa Lopez, Ramon Fernandez Astudillo

Keywords Abstract Paper

deep learning, machine learning, graph learning, language

Chieh-Jan Mike Liang, Hui Xue, Mao Yang and

Lidong Zhou, Lifei Zhu, Zhao Lucis Li, Zibo Wang, Qi Chen, Quanlu Zhang, Chuanjie Liu, Wenjun Dai

Keywords Abstract Paper

Mina Konakovic Lukovic, Yunsheng Tian, Wojciech Matusik

Keywords Abstract Paper

Ya-Ping Hsieh, Panayotis Mertikopoulos, Volkan Cevher

Keywords Abstract Paper

Theory