Showing 1–16 of 16 results
/ Date/ Name
Jul 14, 2022NASRec: Weight Sharing Neural Architecture Search for Recommender SystemsNov 21, 2019AutoShrink: A Topology-aware NAS for Discovering Efficient Neural ArchitectureNov 1, 2023DistDNAS: Search Efficient Feature Interactions within 2 HoursFeb 13, 2024Peeking Behind the Curtains of Residual LearningNov 28, 2022PIDS: Joint Point Interaction-Dimension Search for 3D Point CloudNov 12, 2024Towards Automated Model Design on Recommender SystemsApr 26, 2024CSCO: Connectivity Search of Convolutional OperatorsJun 19, 2019SwiftNet: Using Graph Propagation as Meta-knowledge to Search Highly Representative Neural ArchitecturesJul 8, 2020NASGEM: Neural Architecture Search via Graph Embedding MethodJun 4, 2024Can Dense Connectivity Benefit Outlier Detection? An Odyssey with NASMay 15, 2025AutoRAC: Automated Processing-in-Memory Accelerator Design for Recommender SystemsJul 6, 2023LISSNAS: Locality-based Iterative Search Space Shrinkage for Neural Architecture SearchDec 3, 2020Automatic Routability Predictor Development Using Neural Architecture SearchOct 31, 2023Farthest Greedy Path Sampling for Two-shot Recommender SearchMar 30, 2022Towards Collaborative Intelligence: Routability Estimation based on Decentralized Private DataSep 19, 2024Enhancing Performance and Scalability of Large-Scale Recommendation Systems with Jagged Flash Attention