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 340 篇，第 5 / 7 页

  1. ICML 2025DA-KD: Difficulty-Aware Knowledge Distillation for Efficient Large Language Models
  2. ICML 2025Decision-aware Training of Spatiotemporal Forecasting Models to Select a Top-K Subset of Sites for Intervention
  3. ICML 2025DocVXQA: Context-Aware Visual Explanations for Document Question Answering
  4. ICML 2025Dynamic Sparse Training of Diagonally Sparse Networks
  5. ICML 2025EARTH: Epidemiology-Aware Neural ODE with Continuous Disease Transmission Graph
  6. ICML 2025Efficient Curvature-Aware Hypergradient Approximation for Bilevel Optimization
  7. ICML 2025Efficient Heterogeneity-Aware Federated Active Data Selection
  8. ICML 2025Efficient Skill Discovery via Regret-Aware Optimization
  9. ICML 2025FlashTP: Fused, Sparsity-Aware Tensor Product for Machine Learning Interatomic Potentials
  10. ICML 2025Focal-SAM: Focal Sharpness-Aware Minimization for Long-Tailed Classification
  11. ICML 2025Global Context-aware Representation Learning for Spatially Resolved Transcriptomics
  12. ICML 2025Handling Imbalanced Pseudolabels for Vision-Language Models with Concept Alignment and Confusion-Aware Calibrated Margin
  13. ICML 2025Hardware and Software Platform Inference
  14. ICML 2025Improving Generalization with Flat Hilbert Bayesian Inference
  15. ICML 2025Improving Multi-Class Calibration through Normalization-Aware Isotonic Techniques
  16. ICML 2025InfAlign: Inference-aware language model alignment
  17. ICML 2025Interaction-Aware Gaussian Weighting for Clustered Federated Learning
  18. ICML 2025KVTuner: Sensitivity-Aware Layer-Wise Mixed-Precision KV Cache Quantization for Efficient and Nearly Lossless LLM Inference
  19. ICML 2025Ladder-Residual: Parallelism-Aware Architecture for Accelerating Large Model Inference with Communication Overlapping
  20. ICML 2025Learngene Tells You How to Customize: Task-Aware Parameter Initialization at Flexible Scales
  21. ICML 2025Learning Adaptive Lighting via Channel-Aware Guidance
  22. ICML 2025Learning from Loss Landscape: Generalizable Mixed-Precision Quantization via Adaptive Sharpness-Aware Gradient Aligning
  23. ICML 2025Learning Time-Aware Causal Representation for Model Generalization in Evolving Domains
  24. ICML 2025Local Manifold Approximation and Projection for Manifold-Aware Diffusion Planning
  25. ICML 2025NeuralCohort: Cohort-aware Neural Representation Learning for Healthcare Analytics
  26. ICML 2025One Arrow, Two Hawks: Sharpness-aware Minimization for Federated Learning via Global Model Trajectory
  27. ICML 2025One Leaf Reveals the Season: Occlusion-Based Contrastive Learning with Semantic-Aware Views for Efficient Visual Representation
  28. ICML 2025Online Curvature-Aware Replay: Leveraging $\mathbf{2^{nd}}$ Order Information for Online Continual Learning
  29. ICML 2025Outlier-Aware Post-Training Quantization for Discrete Graph Diffusion Models
  30. ICML 2025Pareto Merging: Multi-Objective Optimization for Preference-Aware Model Merging
  31. ICML 2025PARQ: Piecewise-Affine Regularized Quantization
  32. ICML 2025Phase and Amplitude-aware Prompting for Enhancing Adversarial Robustness
  33. ICML 2025Physics Aware Neural Networks for Unsupervised Binding Energy Prediction
  34. ICML 2025Puzzle: Distillation-Based NAS for Inference-Optimized LLMs
  35. ICML 2025QT-DoG: Quantization-Aware Training for Domain Generalization
  36. ICML 2025Restoring Calibration for Aligned Large Language Models: A Calibration-Aware Fine-Tuning Approach
  37. ICML 2025SAFER: A Calibrated Risk-Aware Multimodal Recommendation Model for Dynamic Treatment Regimes
  38. ICML 2025Sassha: Sharpness-aware Adaptive Second-order Optimization with Stable Hessian Approximation
  39. ICML 2025SCISSOR: Mitigating Semantic Bias through Cluster-Aware Siamese Networks for Robust Classification
  40. ICML 2025Self-supervised Masked Graph Autoencoder via Structure-aware Curriculum
  41. ICML 2025Sorbet: A Neuromorphic Hardware-Compatible Transformer-Based Spiking Language Model
  42. ICML 2025Spectral-Aware Reservoir Computing for Fast and Accurate Time Series Classification
  43. ICML 2025Splitting with Importance-aware Updating for Heterogeneous Federated Learning with Large Language Models
  44. ICML 2025Symmetry-Aware GFlowNets
  45. ICML 2025System-Aware Unlearning Algorithms: Use Lesser, Forget Faster
  46. ICML 2025TANGO: Clustering with Typicality-Aware Nonlocal Mode-Seeking and Graph-Cut Optimization
  47. ICML 2025Task-Aware Virtual Training: Enhancing Generalization in Meta-Reinforcement Learning for Out-of-Distribution Tasks
  48. ICML 2025Temporal Distance-aware Transition Augmentation for Offline Model-based Reinforcement Learning
  49. ICML 2025Thickness-aware E(3)-Equivariant 3D Mesh Neural Networks
  50. ICML 2025Tightening Causal Bounds via Covariate-Aware Optimal Transport

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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