IEEE

Efficient Acceleration of Deep Learning Inference on Resource-Constrained Edge Devices: A Review

Abstract: Successful integration of deep neural networks (DNNs) or deep learning (DL) has resulted in breakthroughs in many areas. However, deploying these highly accurate models for data-driven, ...
archive

The elements of statistical learning : data mining, inference, and prediction : with 200 full-color illustrations

Keep the news in the Wayback Machine. Sign Fight for the Future's letter. An icon used to represent a menu that can be toggled by interacting with this icon. A line drawing of the Internet Archive ...
IEEE

Characterizing Cloud-Native LLM Inference at Bytedance and Exposing Optimization Challenges and Opportunities for Future AI Accelerators

Abstract: As a major provider of LLM inference services, ByteDance has continuously explored diverse accelerator options to meet the rapidly growing inference demands of various heterogeneous LLM ...
archive

Statistical power analysis for the behavioral sciences

Statistical power analysis for the behavioral sciences by Cohen, Jacob, 1923-1998 Publication date 1988 Topics Social sciences -- Statistical methods, Probabilities, Statistical power analysis ...
GitHub

Paper List of Inference/Test Time Scaling/Computing

If you think our paper list is helpful, please Star⭐. Thanks! We will continue to update. Generated by DALL·E. We understand that Inference/Test Time Scaling/Computing is a broad field. If you feel ...