硬件协同论文趋势 2023–2026

加速器与编译

统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 1,524 篇被归入该主题的论文。

主要结论

每年论文数

各会议论文数

按年份和会议统计

硬件协同论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
2023212327102173
202469455594263
2025120447287323
2026263120186196765

代表论文

按年份和会议均匀挑选，方便快速看到每一届的样貌

全部硬件协同论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 1,524 篇，第 30 / 31 页

  1. CVPR 2023VisFusion: Visibility-Aware Online 3D Scene Reconstruction From Videos
  2. CVPR 2023VIVE3D: Viewpoint-Independent Video Editing Using 3D-Aware GANs
  3. CVPR 2023Wide-Angle Rectification via Content-Aware Conformal Mapping
  4. ICLR 2023$\rm A^2Q$: Aggregation-Aware Quantization for Graph Neural Networks
  5. ICLR 2023A new characterization of the edge of stability based on a sharpness measure aware of batch gradient distribution
  6. ICLR 2023An Adaptive Policy to Employ Sharpness-Aware Minimization
  7. ICLR 2023CrAM: A Compression-Aware Minimizer
  8. ICLR 2023EA-HAS-Bench: Energy-aware Hyperparameter and Architecture Search Benchmark
  9. ICLR 2023Equivariance-aware Architectural Optimization of Neural Networks
  10. ICLR 2023Explaining RL Decisions with Trajectories
  11. ICLR 2023Fairness-aware Contrastive Learning with Partially Annotated Sensitive Attributes
  12. ICLR 2023FedDAR: Federated Domain-Aware Representation Learning
  13. ICLR 2023How Sharpness-Aware Minimization Minimizes Sharpness?
  14. ICLR 2023Meta-prediction Model for Distillation-Aware NAS on Unseen Datasets
  15. ICLR 2023Population-size-Aware Policy Optimization for Mean-Field Games
  16. ICLR 2023Risk-Aware Reinforcement Learning with Coherent Risk Measures and Non-linear Function Approximation
  17. ICLR 2023SAM as an Optimal Relaxation of Bayes
  18. ICLR 2023StyleMorph: Disentangled 3D-Aware Image Synthesis with a 3D Morphable StyleGAN
  19. ICLR 2023SYNC: SAFETY-AWARE NEURAL CONTROL FOR STABILIZING STOCHASTIC DELAY-DIFFERENTIAL EQUATIONS
  20. ICLR 2023Task-Aware Information Routing from Common Representation Space in Lifelong Learning
  21. ICLR 2023Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks
  22. ICLR 2023Topology-aware Robust Optimization for Out-of-Distribution Generalization
  23. ICLR 2023Towards Lightweight, Model-Agnostic and Diversity-Aware Active Anomaly Detection
  24. ICLR 2023TTN: A Domain-Shift Aware Batch Normalization in Test-Time Adaptation
  25. ICLR 2023Unsupervised 3D Object Learning through Neuron Activity aware Plasticity
  26. ICLR 2023Variance-Aware Sparse Linear Bandits
  27. ICML 2023A Three-regime Model of Network Pruning
  28. ICML 2023Beyond In-Domain Scenarios: Robust Density-Aware Calibration
  29. ICML 2023COLA: Orchestrating Error Coding and Learning for Robust Neural Network Inference Against Hardware Defects
  30. ICML 2023Controllability-Aware Unsupervised Skill Discovery
  31. ICML 2023DevFormer: A Symmetric Transformer for Context-Aware Device Placement
  32. ICML 2023Differentially Private Sharpness-Aware Training
  33. ICML 2023Discover and Cure: Concept-aware Mitigation of Spurious Correlation
  34. ICML 2023Distortion and Uncertainty Aware Loss for Panoramic Depth Completion
  35. ICML 2023Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape
  36. ICML 2023Efficient Latency-Aware CNN Depth Compression via Two-Stage Dynamic Programming
  37. ICML 2023Fair and Accurate Decision Making through Group-Aware Learning
  38. ICML 2023Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction
  39. ICML 2023FedDisco: Federated Learning with Discrepancy-Aware Collaboration
  40. ICML 2023Generalized Disparate Impact for Configurable Fairness Solutions in ML
  41. ICML 2023Hardware-Aware Compression with Random Operation Access Specific Tile (ROAST) Hashing
  42. ICML 2023Implicit Jacobian regularization weighted with impurity of probability output
  43. ICML 2023Improving the Model Consistency of Decentralized Federated Learning
  44. ICML 2023One-vs-the-Rest Loss to Focus on Important Samples in Adversarial Training
  45. ICML 2023Phase-aware Adversarial Defense for Improving Adversarial Robustness
  46. ICML 2023Privacy-Aware Compression for Federated Learning Through Numerical Mechanism Design
  47. ICML 2023R-U-SURE? Uncertainty-Aware Code Suggestions By Maximizing Utility Across Random User Intents
  48. ICML 2023Reachability-Aware Laplacian Representation in Reinforcement Learning
  49. ICML 2023SAAL: Sharpness-Aware Active Learning
  50. ICML 2023Simple Hardware-Efficient Long Convolutions for Sequence Modeling

在 Claude、Cursor 里直接问这个趋势

接上 Paperlist MCP 后，写综述、挑方向或准备投稿时，不用离开对话框就能拿到这页的数字：每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文，AI 会按你的问题整理。

可以直接复制这句话问 AI

用 paperlist 查硬件协同在 CVPR 2023–2026 的论文趋势，哪一年涨得最快？

AI 会调用的工具：get_topic_stats {"topic": "hardware-aware-ml"}

两分钟接入 Paperlist MCP（Claude Code、Cursor、Codex、ChatGPT）

常见问题

2023–2026 年四大会议一共有多少篇硬件协同论文？
共 1,524 篇，按年份分别是 2023 年 173 篇、2024 年 263 篇、2025 年 323 篇、2026 年 765 篇。
NeurIPS 2026 有多少篇硬件协同论文？
NeurIPS 2026 有 263 篇硬件协同论文，上一届是 120 篇。
ICLR 2026 有多少篇硬件协同论文？
ICLR 2026 有 120 篇硬件协同论文，上一届是 44 篇。
ICML 2026 有多少篇硬件协同论文？
ICML 2026 有 186 篇硬件协同论文，上一届是 72 篇。
CVPR 2026 有多少篇硬件协同论文？
CVPR 2026 有 196 篇硬件协同论文，上一届是 87 篇。
哪个会议的硬件协同论文最多？
CVPR，2023–2026 年共 479 篇。

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