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 72 篇，第 1 / 2 页

  1. ICML 2025$\texttt{I$^2$MoE}$: Interpretable Multimodal Interaction-aware Mixture-of-Experts
  2. ICML 2025Accelerating Linear Recurrent Neural Networks for the Edge with Unstructured Sparsity
  3. ICML 2025An Augmentation-Aware Theory for Self-Supervised Contrastive Learning
  4. ICML 2025Avoiding spurious sharpness minimization broadens applicability of SAM
  5. ICML 2025BAME: Block-Aware Mask Evolution for Efficient N:M Sparse Training
  6. ICML 2025BoA: Attention-aware Post-training Quantization without Backpropagation
  7. ICML 2025CABS: Conflict-Aware and Balanced Sparsification for Enhancing Model Merging
  8. ICML 2025Calibrated Value-Aware Model Learning with Probabilistic Environment Models
  9. ICML 2025Causal Invariance-aware Augmentation for Brain Graph Contrastive Learning
  10. ICML 2025Causality-Aware Contrastive Learning for Robust Multivariate Time-Series Anomaly Detection
  11. ICML 2025COGNATE: Acceleration of Sparse Tensor Programs on Emerging Hardware using Transfer Learning
  12. ICML 2025Context Matters: Query-aware Dynamic Long Sequence Modeling of Gigapixel Images
  13. ICML 2025Core Context Aware Transformers for Long Context Language Modeling
  14. ICML 2025Curvature-aware Graph Attention for PDEs on Manifolds
  15. ICML 2025DA-KD: Difficulty-Aware Knowledge Distillation for Efficient Large Language Models
  16. ICML 2025Decision-aware Training of Spatiotemporal Forecasting Models to Select a Top-K Subset of Sites for Intervention
  17. ICML 2025DocVXQA: Context-Aware Visual Explanations for Document Question Answering
  18. ICML 2025Dynamic Sparse Training of Diagonally Sparse Networks
  19. ICML 2025EARTH: Epidemiology-Aware Neural ODE with Continuous Disease Transmission Graph
  20. ICML 2025Efficient Curvature-Aware Hypergradient Approximation for Bilevel Optimization
  21. ICML 2025Efficient Heterogeneity-Aware Federated Active Data Selection
  22. ICML 2025Efficient Skill Discovery via Regret-Aware Optimization
  23. ICML 2025FlashTP: Fused, Sparsity-Aware Tensor Product for Machine Learning Interatomic Potentials
  24. ICML 2025Focal-SAM: Focal Sharpness-Aware Minimization for Long-Tailed Classification
  25. ICML 2025Global Context-aware Representation Learning for Spatially Resolved Transcriptomics
  26. ICML 2025Handling Imbalanced Pseudolabels for Vision-Language Models with Concept Alignment and Confusion-Aware Calibrated Margin
  27. ICML 2025Hardware and Software Platform Inference
  28. ICML 2025Improving Generalization with Flat Hilbert Bayesian Inference
  29. ICML 2025Improving Multi-Class Calibration through Normalization-Aware Isotonic Techniques
  30. ICML 2025InfAlign: Inference-aware language model alignment
  31. ICML 2025Interaction-Aware Gaussian Weighting for Clustered Federated Learning
  32. ICML 2025KVTuner: Sensitivity-Aware Layer-Wise Mixed-Precision KV Cache Quantization for Efficient and Nearly Lossless LLM Inference
  33. ICML 2025Ladder-Residual: Parallelism-Aware Architecture for Accelerating Large Model Inference with Communication Overlapping
  34. ICML 2025Learngene Tells You How to Customize: Task-Aware Parameter Initialization at Flexible Scales
  35. ICML 2025Learning Adaptive Lighting via Channel-Aware Guidance
  36. ICML 2025Learning from Loss Landscape: Generalizable Mixed-Precision Quantization via Adaptive Sharpness-Aware Gradient Aligning
  37. ICML 2025Learning Time-Aware Causal Representation for Model Generalization in Evolving Domains
  38. ICML 2025Local Manifold Approximation and Projection for Manifold-Aware Diffusion Planning
  39. ICML 2025NeuralCohort: Cohort-aware Neural Representation Learning for Healthcare Analytics
  40. ICML 2025One Arrow, Two Hawks: Sharpness-aware Minimization for Federated Learning via Global Model Trajectory
  41. ICML 2025One Leaf Reveals the Season: Occlusion-Based Contrastive Learning with Semantic-Aware Views for Efficient Visual Representation
  42. ICML 2025Online Curvature-Aware Replay: Leveraging $\mathbf{2^{nd}}$ Order Information for Online Continual Learning
  43. ICML 2025Outlier-Aware Post-Training Quantization for Discrete Graph Diffusion Models
  44. ICML 2025Pareto Merging: Multi-Objective Optimization for Preference-Aware Model Merging
  45. ICML 2025PARQ: Piecewise-Affine Regularized Quantization
  46. ICML 2025Phase and Amplitude-aware Prompting for Enhancing Adversarial Robustness
  47. ICML 2025Physics Aware Neural Networks for Unsupervised Binding Energy Prediction
  48. ICML 2025Puzzle: Distillation-Based NAS for Inference-Optimized LLMs
  49. ICML 2025QT-DoG: Quantization-Aware Training for Domain Generalization
  50. ICML 2025Restoring Calibration for Aligned Large Language Models: A Calibration-Aware Fine-Tuning Approach

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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