A Survey of Machine Learning for Computer Architecture and Systems

A Survey of Machine Learning for Computer Architecture and Systems

16 February 2021

Papers citing "A Survey of Machine Learning for Computer Architecture and Systems"

18 / 18 papers shown

Title
Teach Me How to Denoise: A Universal Framework for Denoising Multi-modal Recommender Systems via Guided Calibration Yiming Li Hanwen Du Y. Li Junchen Fu Chunxiao Li Ziyi Zhuang Jiakang Li Yongxin Ni AI4TS 29 0 0 19 Apr 2025
Robust Graph Learning Against Adversarial Evasion Attacks via Prior-Free Diffusion-Based Structure Purification Jiayi Luo Qingyun Sun Haonan Yuan Xingcheng Fu Jianxin Li DiffM AAML 81 0 0 07 Feb 2025
Exploring Feature-based Knowledge Distillation for Recommender System: A Frequency Perspective Zhangchi Zhu Wei Zhang 43 0 0 16 Nov 2024
A Benchmark on Directed Graph Representation Learning in Hardware Designs Haoyu Wang Yinan Huang Nan Wu Pan Li OOD 48 1 0 09 Oct 2024
You Can't Ignore Either: Unifying Structure and Feature Denoising for Robust Graph Learning Tianmeng Yang Jiahao Meng Min Zhou Yaming Yang Yujing Wang Xiangtai Li Yunhai Tong NoLa 34 1 0 01 Aug 2024
Graph Representation Learning via Causal Diffusion for Out-of-Distribution Recommendation Chu Zhao Enneng Yang Yuliang Liang Pengxiang Lan Yuting Liu Jianzhe Zhao Guibing Guo Xingwei Wang OOD DiffM CML 53 5 0 01 Aug 2024
Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation Weizhi Zhang Liangwei Yang Zihe Song Henry Peng Zou Ke Xu Liancheng Fang Philip S. Yu GNN 39 1 0 26 Jul 2024
MMBee: Live Streaming Gift-Sending Recommendations via Multi-Modal Fusion and Behaviour Expansion Jiaxin Deng Shiyao Wang Yuchen Wang Jiansong Qi Liqin Zhao Guorui Zhou Gaofeng Meng 31 3 0 15 Jun 2024
Verilog-to-PyG -- A Framework for Graph Learning and Augmentation on RTL Designs Yingjie Li Mingju Liu Alan Mishchenko Cunxi Yu 37 6 0 09 Nov 2023
From array algebra to energy efficiency on GPUs: Data and hardware shapes with dimension-lifting to optimize memory-processor layouts L. Mullin 21 0 0 19 Jun 2023
GFairHint: Improving Individual Fairness for Graph Neural Networks via Fairness Hint Paiheng Xu Yuhang Zhou Bang An Wei Ai Furong Huang 27 6 0 25 May 2023
SGDP: A Stream-Graph Neural Network Based Data Prefetcher Yiyuan Yang Rongshang Li Qiquan Shi Xijun Li Gang Hu Xing Li M. Yuan AI4TS 16 5 0 07 Apr 2023
LOSTIN: Logic Optimization via Spatio-Temporal Information with Hybrid Graph Models Nan Wu Jiwon Lee Yuan Xie Cong Hao 35 18 0 20 Jan 2022
High-Level Synthesis Performance Prediction using GNNs: Benchmarking, Modeling, and Advancing Nan Wu Hang Yang Yuan Xie Pan Li Cong Hao 28 53 0 18 Jan 2022
IronMan: GNN-assisted Design Space Exploration in High-Level Synthesis via Reinforcement Learning Nan Wu Yuan Xie Cong Hao 3DV 13 55 0 16 Feb 2021
MetaTune: Meta-Learning Based Cost Model for Fast and Efficient Auto-tuning Frameworks Jaehun Ryu Hyojin Sung 57 16 0 08 Feb 2021
DRiLLS: Deep Reinforcement Learning for Logic Synthesis Abdelrahman I. Hosny S. Hashemi M. Shalan Sherief Reda 61 109 0 11 Nov 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 359 11,684 0 09 Mar 2017