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TVM: An Automated End-to-End Optimizing Compiler for Deep Learning, paper link
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Ansor: Generating High-Performance Tensor Programs for Deep Learning, paper link
- Optimizing CNN Model Inference on CPUs, paper link
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Optimizing RNNs with Differentiable Graphs, blog link
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Echo: Compiler-based GPU Memory Footprint Reduction for LSTM RNN Training, paper link -
Optimizing Recurrent Neural Networks in cuDNN 5, blog link
- A Loop Transformation Theory and an Algorithm to Maximize Parallelism, paper link
- Auto-vectorizing TensorFlow Graphs: Jacobians, Auto-batching and Beyond, paper link
- Too Afraid to Drive: Systematic Discovery of Semantic DoS Vulnerability in Autonomous Driving Planning under Physical-World Attacks, paper link
- Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World Attacks, paper link