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 9 / 31 页

  1. ICML 2026LEAP: Zone-Aware MCTS for LLM Self-Speculative Decoding
  2. ICML 2026Learning Compressed Shape-Aware Molecular Representations for Virtual Screening
  3. ICML 2026Learning the ESG Geometry with Domain Aware Language Models
  4. ICML 2026Learning to Bet for Horizon-Aware Anytime-Valid Testing
  5. ICML 2026Least-Loaded Expert Parallelism: Load Balancing An Imbalanced Mixture-of-Experts
  6. ICML 2026LLM4Cov: Execution-Aware Agentic Learning for High-coverage Testbench Generation
  7. ICML 2026LoSA: Locality Aware Sparse Attention in Diffusion Language Models
  8. ICML 2026Loss-Aware Distributionally Robust Optimization via Trainable Optimal Transport Ambiguity Sets
  9. ICML 2026MAC-NeRF: Motion-Aware Curriculum Learning for Dynamic LiDAR NeRFs
  10. ICML 2026MAMBO-G: Magnitude-Aware Mitigation for Boosted Guidance
  11. ICML 2026MAPS: Memory-Aware Predictive Scheduling Framework for Large Language Model Serving
  12. ICML 2026Merge to Remember: Sharpness-Aware Isotropic Merging for Continual Learning
  13. ICML 2026MetaMoE: Diversity-Aware Proxy Selection for Privacy-Preserving Mixture-of-Experts Unification
  14. ICML 2026MGAL: A Multilingual Granularity-Aware Long-Context Benchmark
  15. ICML 2026Mind the Gap: Structure-Aware Consistency in Preference Learning
  16. ICML 2026Mind the State: Towards Unified, Context-Aware EEG-to-fMRI Synthesis
  17. ICML 2026Mitigating Error Propagation in Low-Rank Approximation of Large Models via Distribution-Aware Whitening
  18. ICML 2026Mitigating Manifold Departure: Uncertainty-Aware Subspace Rectification for Trustworthy MLLM Decoding
  19. ICML 2026MixFP4: Enhancing NVFP4 with Adaptive FP4/INT4 Block Representations
  20. ICML 2026Must All Negatives Be Pushed Away Equally? Uncertainty-Aware Cross-View Geo-Localization via Normal Inverse Gamma Distribution
  21. ICML 2026Navigating the Flatlands: Dual Adaptive Sharpness-Aware Minimization for Domain Generalization
  22. ICML 2026No Retraining at Edge: Efficient Resource-Aware Mixed-Precision Quantization via Federated Supernet Learning
  23. ICML 2026On Efficient Scaling of GNNs via IO-Aware Layers Implementations
  24. ICML 2026Opportunistic Expert Activation: Batch-Aware Expert Routing for Faster Decode Without Retraining
  25. ICML 2026Outcome-Aware Spectral Feature Learning for Instrumental Variable Regression
  26. ICML 2026Physiology-Aware Masked Cross-Modal Reconstruction for Biosignal Representation Learning
  27. ICML 2026Population-Aware Imitation Learning in Mean-field Games with Common Noise
  28. ICML 2026Pose-ICL: 3D-Aware In-Context Learning for Pose-Controllable Subject Customization
  29. ICML 2026Preconditioned DeltaNet: Curvature-aware Sequence Modeling for Linear Recurrences
  30. ICML 2026Prefix-Cache-Aware Data Reordering for LLM-Augmented Database Analytics
  31. ICML 2026Priority-Aware Shapley Value
  32. ICML 2026Prism: Spectral-Aware Block-Sparse Attention
  33. ICML 2026Privacy-Aware Video Anomaly Detection through Orthogonal Subspace Projection
  34. ICML 2026ProjQ: Project-and-Quantize for Adapter-Aware LLM Compression
  35. ICML 2026PsumQuant: In-line Post-training Partial Sum Quantizer for Energy Efficient NPU Inference
  36. ICML 2026Q-SAM: Unlocking Sharpness-Aware Minimization for Generalization in Offline Reinforcement Learning
  37. ICML 2026Q-Sched: Pushing the Boundaries of Few-Step Diffusion Models with Quantization-Aware Scheduling
  38. ICML 2026QiMeng-PerceptOS: Semantic-Aware Kernel Optimization for OS-Intensive Workloads via Hardware-Software Alignment
  39. ICML 2026RaBiT: Residual Aware Binarization Training for Accurate and Efficient LLMs
  40. ICML 2026RACER: Risk-Aware Calibrated Efficient Routing for Large Language Models
  41. ICML 2026RaGEP: Rank-aware Geometric Expert Pruning for Mixture-of-Experts Language Models
  42. ICML 2026RAMAC: Multimodal Risk-Aware Offline Reinforcement Learning and the Role of Behavior Regularization
  43. ICML 2026Rank-Aware Spectral Bounds on Attention Logits for Stable Low-Precision Training
  44. ICML 2026RAST-MoE-RL: A Regime-Aware Spatio-Temporal MoE Framework for Deep Reinforcement Learning in Ride-Hailing
  45. ICML 2026Reliable Neighborhood-Aware Multi-View Outlier Detection
  46. ICML 2026ReMoE: Boosting Expert Reuse through Router Fine-Tuning in Memory-Constrained MoE LLM Inference
  47. ICML 2026Rethinking Depth Pruning for Vision Transformers: A Heterogeneity-Aware Perspective
  48. ICML 2026Saliency-Aware Model Merging
  49. ICML 2026Sample Margin-Aware Recalibration of Temperature Scaling
  50. ICML 2026SAOT: Self-Supervised Continual Graph Learning with Structure-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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