| SAFELearn: Secure Aggregation for private FEderated Learning | 1 | 0.35 | 2021 |
| Delving into Macro Placement with Reinforcement Learning | 0 | 0.34 | 2021 |
| Reinforcement Learning for Placement Optimization | 1 | 0.37 | 2021 |
| Placement Optimization with Deep Reinforcement Learning | 2 | 0.43 | 2020 |
| A Single-Shot Generalized Device Placement for Large Dataflow Graphs | 0 | 0.34 | 2020 |
| Transferable Graph Optimizers for ML Compilers | 0 | 0.34 | 2020 |
| Deep Mixture of Experts via Shallow Embedding. | 0 | 0.34 | 2019 |
| Reinforcement Learning Driven Heuristic Optimization. | 0 | 0.34 | 2019 |
| GAP: Generalizable Approximate Graph Partitioning Framework. | 1 | 0.34 | 2019 |
| Introduction to ParLearning 2018. | 0 | 0.34 | 2018 |
| RankMap: A Framework for Distributed Learning From Dense Data Sets. | 1 | 0.35 | 2018 |
| ParLearning 2018 Invited Talk 2. | 0 | 0.34 | 2018 |
| A Hierarchical Model for Device Placement | 8 | 0.45 | 2018 |
| Deep3: Leveraging Three Levels of Parallelism for Efficient Deep Learning. | 3 | 0.42 | 2017 |
| Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer. | 95 | 3.02 | 2017 |
| ExtDict: Extensible Dictionaries for Data- and Platform-Aware Large-Scale Learning | 0 | 0.34 | 2017 |
| Tinydl: Just-In-Time Deep Learning Solution For Constrained Embedded Systems | 0 | 0.34 | 2017 |
| Device Placement Optimization with Reinforcement Learning. | 24 | 0.73 | 2017 |
| RISE: An Automated Framework for Real-Time Intelligent Video Surveillance on FPGA. | 1 | 0.35 | 2017 |
| DeLight: Adding Energy Dimension To Deep Neural Networks. | 12 | 0.67 | 2016 |
| Deterministic Column Sampling for Low-Rank Matrix Approximation: Nyström vs. Incomplete Cholesky Decomposition. | 0 | 0.34 | 2016 |
| Chime: Checkpointing Long Computations on Interm ittently Energized IoT Devices. | 2 | 0.40 | 2016 |
| Going deeper than deep learning for massive data analytics under physical constraints | 1 | 0.38 | 2016 |
| Automated Real-Time Analysis of Streaming Big and Dense Data on Reconfigurable Platforms. | 1 | 0.35 | 2016 |
| SSketch: An Automated Framework for Streaming Sketch-Based Analysis of Big Data on FPGA | 10 | 0.65 | 2015 |
| oASIS: Adaptive Column Sampling for Kernel Matrix Approximation. | 3 | 0.41 | 2015 |
| Phase Change Memory Write Cost Minimization by Data Encoding | 4 | 0.38 | 2015 |
| RankMap: A Platform-Aware Framework for Distributed Learning from Dense Datasets. | 3 | 0.54 | 2015 |
| AHEAD: automated framework for hardware accelerated iterative data analysis | 1 | 0.35 | 2015 |
| Flexible Transformations For Learning Big Data | 2 | 0.36 | 2015 |
| DA Systemization of Knowledge: A Catalog of Prior Forward-Looking Initiatives | 2 | 0.38 | 2015 |
| Automated checkpointing for enabling intensive applications on energy harvesting devices | 8 | 0.48 | 2013 |
| Coding-based energy minimization for phase change memory | 20 | 0.63 | 2012 |
| Hybrid heterogeneous energy supply networks | 5 | 0.45 | 2011 |
| Learning to manage combined energy supply systems | 4 | 0.42 | 2011 |
| HypoEnergy. Hybrid supercapacitor-battery power-supply optimization for Energy efficiency | 16 | 0.76 | 2011 |
| A unified submodular framework for multimodal IC Trojan detection | 7 | 0.54 | 2010 |
| Real time emulations: foundation and applications | 0 | 0.34 | 2010 |
