# Kaleido's Personal Page 2024!

Just A Private HomePage for Kaleido XD
Happy (Another) New Year 🥳🥳🥳

What's up?

2024/2/2

• Waiting for the spring festival while doing nothing :)

2024/3/4

• [arxiv21] Read a fair article about NN model performance prediction DNNAbacus: Toward Accurate Computational Cost Prediction for Deep Neural Networks.

2024/3/5

• [ECCV20] Read a classic NAS article Neural Predictor for Neural Architecture Search.

2024/3/19

• [CVPRW22][MAPLE-Edge] Finish reading a insightful article MAPLE-Edge: A Runtime Latency Predictor for Edge Devices.

2024/3/22

• [Mobisys21][nn-Meter] Read a good paper nn-Meter: Towards Accurate Latency Prediction of Deep-Learning Model Inference on Diverse Edge Devices.

2024/3/26

• [ICLR20][NasBench-201] Read a classic NAS paper NAS-BENCH-201: Extending the Scope of Reproducible Neural Architecture Search.

2024/4/25

• [ICLR17][GCN] Read the classic GCN paper Semi-Supervised Classification with Graph Convolutional Networks.

2024/5/14

• [TPAMI22][GATES++] Read a NAS paper A Generic Graph-based Neural Architecture Encoding Scheme with Multifaceted Information.

2024/10/11

• Read the following articles in the past few months:
  • [MLSys20][ParaDNN] Read a mlsys paper A systematic methodology for analysis of deep learning hardware and software platforms.
  • [MLSys20][TQT] Read a quantization paper Trained quantization thresholds for accurate and efficient fixed-point inference of deep neural networks.
    • It turns out that I have read this article before.
  • [ICLR21][ViT] Read a classis CV backbone paper An image is worth 16x16 words: Transformers for image recognition at scale.

2024/10/12

• [MLSys20workshop] Read a short article Precious: Resource-Demand Estimation for Embedded Neural Network Accelerators.

2024/11/1

• [MLSys22] Read an article about Pytorch.fx module torch. fx: Practical program capture and transformation for deep learning in python.

2024/11/7

• [MLSys22] Read an article about benchmarking the ML inference on smartphones MLPerf Mobile Inference Benchmark.

2024/11/11

• [ISORC17] Read an article of lean help An End-To-End Toolchain: From Automated Cost Modeling to Static WCET and WCEC Analysis.

2024/11/13

• [NIPS19workshop] Read an article using NN models to predict latency of the XLA kernels Learned TPU Cost Model for XLA Tensor Programs.