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Deep Learning Compilers · 연구실 25곳 · 논문 28편

다른 주제·대학과 함께 찾기
칸 하나가 연구실 하나예요. 이 주제 논문이 많을수록 밝아요.

관련 연구실

등급은 학회·저널 분류이며 연구실 순위가 아닙니다.

  1. SNUAI 시스템

    성효진CODE Lab

    관련 논문 3편비중 23%연구 분야에 명시
    • 2025ATiM: Autotuning Tensor Programs for Processing-in-DRAM ISCA
    • 2025HYPERF: End-to-End Autotuning Framework for High-Performance Computing HPDC
    • 2023PIMFlow: Compiler and Runtime Support for CNN Models on Processing-in-Memory DRAM with Mixed-Parallel Execution Model CGO
  2. YonseiAI 시스템

    김영석HPCP Lab

    관련 논문 2편비중 7%
    • 2025PIM-CARE: A Compiler-Assisted Dynamic Resource Allocation Framework for Real-world DRAM PIM ICS
    • 2023Occamy: Memory-efficient GPU Compiler for DNN Inference DAC
  3. KAISTAI 시스템

    유민수VIA Research Group

    관련 논문 1편비중 4%
    • 2026ZipFlow: a Compiler-based Framework to Unleash Compressed Data Movement for Modern GPUs VLDB
  4. KAISTAI 시스템

    한동수INA Lab

    관련 논문 1편비중 4%
    • 2026Trinity: Three-Dimensional Tensor Program Optimization via Tile-level Equality Saturation ASPLOS
  5. KAIST컴퓨터 비전

    성민혁Visual AI Group

    관련 논문 1편비중 2%
    • 2026NoiseTilt: Noise-Tilted Reverse Kernels for Diffusion Reward Alignment ECCV
  6. SNU머신러닝

    장병탁BI Lab

    관련 논문 1편비중 1%
    • 2026Learning Coordinate-based Convolutional Kernels for Continuous SE(3) Equivariant and Efficient Point Cloud Analysis CVPR
  7. SNU컴퓨터 비전

    전세영ICL

    관련 논문 1편비중 1%
    • 2026DictLLM: Post-training Compression of Large Language Model with Dictionary Kernels NeurIPS
  8. KAIST데이터 마이닝

    신기정Data Mining Lab

    관련 논문 1편비중 1%
    • 2026TaLK: Text-Attributed Graph Dataset Distillation via Coupling Language Model with Graph-Aware Kernel EMNLP Findings
  9. SNUAI 시스템

    서지원Machine Learning Systems Lab

    관련 논문 1편비중 8%
    • 2025PIM-CARE: A Compiler-Assisted Dynamic Resource Allocation Framework for Real-world DRAM PIM ICS
  10. SNUAI 시스템

    김재준VLSI Lab

    관련 논문 1편비중 2%
    • 2025COMPASS: A Compiler Framework for Resource-Constrained Crossbar-Array Based In-Memory Deep Learning Accelerators DATE
  11. KAIST자연어처리·LLM

    오혜연U&I Lab

    관련 논문 1편비중 1%
    • 2025Generalizing Weisfeiler-Lehman Kernels to Subgraphs ICLR
  12. Yonsei머신러닝

    송경우MLAI Lab

    관련 논문 1편비중 1%
    • 2025Brain-inspired Lp-Convolution benefits large kernels and aligns better with visual cortex ICLR
  13. KAISTAI 시스템2026 업데이트 중

    김세훈SEAL

    관련 논문 1편비중 7%
    • 2024An LLM Compiler for Parallel Function Calling ICML
  14. Yonsei머신러닝

    이종민DIL Lab

    관련 논문 1편비중 7%
    • 2024Kernel Metric Learning for In-Sample Off-Policy Evaluation of Deterministic RL Policies ICLR
  15. KAIST머신러닝

    김기응AIPR Lab

    관련 논문 1편비중 4%
    • 2024Kernel Metric Learning for In-Sample Off-Policy Evaluation of Deterministic RL Policies ICLR
  16. SNU자연어처리·LLM

    유영재PI Lab

    관련 논문 1편비중 1%
    • 2024Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models EMNLP
  17. POSTECHAI for Science

    김원화, 류일우MIP Lab

    관련 논문 1편비중 1%
    • 2024Learning to Approximate Adaptive Kernel Convolution on Graphs AAAI
  18. Yonsei자연어처리·LLM

    여진영Language & AGI Lab

    관련 논문 1편비중 2%
    • 2024Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models EMNLP
  19. KU머신러닝2026 업데이트 중

    정원주Statistical Intelligence Lab

    관련 논문 1편비중 14%
    • 2023Multi-band CNN with Band-dependent Kernels and Amalgamated Cross Entropy Loss for Motor Imagery Classification IEEE JBHI
  20. SNU로보틱스

    박종우FCP Robotics Lab

    관련 논문 1편비중 5%
    • 2023Variational Weighting for Kernel Density Ratios NeurIPS
  21. Yonsei머신러닝

    권태경AI Security Lab

    관련 논문 1편비중 5%
    • 2023BoKASAN: Binary-only Kernel Address Sanitizer for Effective Kernel Fuzzing USENIX Security
  22. SNUAI for Science

    김경수AIBL

    관련 논문 1편비중 3%
    • 2023Scale-invariant Bayesian Linearized Neural Networks with Connectivity Tangent Kernel ICLR
  23. SNU머신러닝

    양인순LDS Lab

    관련 논문 1편비중 4%
    • 2023Convergence analysis of ODE models for accelerated first-order methods via positive semidefinite kernels NeurIPS
  24. KAIST머신러닝

    김희영Engineering Data Science Lab

    관련 논문 1편비중 3%
    • 2023Deep embedding kernel mixture networks for conditional anomaly detection in high-dimensional data International Journal of Production Research
  25. KAIST머신러닝

    양은호MLI Lab

    관련 논문 1편비중 1%
    • 2023Scale-invariant Bayesian Neural Networks with Connectivity Tangent Kernel ICLR