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 8 / 31 页

  1. ICML 2026DARTS: Distribution-Aware Active Rollout Trajectory Shaping for Accelerating LLM Reinforcement Learning
  2. ICML 2026DAVE: Distribution-Aware Attribution via ViT Gradient Decomposition
  3. ICML 2026DDSVM: A Differentiable Framework for Deep Support Vector Machines with Iterative Geometry-Aware Optimization
  4. ICML 2026Deep Multi-view Graph Clustering via Attribute-aware Bidirectional Structural Refinement and Pseudo-label Guided Multi-level Fusion
  5. ICML 2026Deep Scientific Reasoning under Physical Constraints: Structure-Aware Spectrum Prediction
  6. ICML 2026Dependence-Aware Label Aggregation for LLM-as-a-Judge via Ising Models
  7. ICML 2026Detecting Contextual Hallucinations in Large Language Models with Frequency-Aware Attention
  8. ICML 2026Diversity-Aware Recursive Feature Multiple Kernel Learning
  9. ICML 2026Diversity-aware Weight Perturbation Promotes Robust Adaptation
  10. ICML 2026DMCO: Budget-Aware Co-Optimization of Data Cleaning and AutoML
  11. ICML 2026Does a Hybrid Space-Aware Randomized Defense Improve Empirical and Certified Adversarial Robustness?
  12. ICML 2026Domain-Shift-Aware Conformal Prediction for Large Language Models
  13. ICML 2026DRL-STAF: A Deep Reinforcement Learning Framework for State-Aware Forecasting of Complex Multivariate Hidden Markov Processes
  14. ICML 2026Dynamic TMoE: A Drift-Aware Dynamic Mixture of Experts Framework for Non-Stationary Time Series Forecasting
  15. ICML 2026ECO: Quantized Training without Full-Precision Master Weights
  16. ICML 2026Efficient and Uncertainty-Aware Diffusion Framework for Offline-to-Online Reinforcement Learning
  17. ICML 2026Efficient Transformer Attention for SNNs via Hadamard Simplification
  18. ICML 2026Enhancing Affine Maximizer Auctions with Correlation-Aware Payment
  19. ICML 2026Entropy-aware Span-Constrained Optimal Transport for Robust Cross-Tokenizer Knowledge Distillation
  20. ICML 2026Expected Returns and Policy Inconsistency-Aware Offline Federated Deep Reinforcement Learning
  21. ICML 2026FAIR-Calib: Frontier-Aware Instability-Reweighted Calibration for Post-Training Quantization of Diffusion Large Language Models
  22. ICML 2026Federated Graph Learning via Structure-Aware Fusion Using a Kalman Framework with Learnable Dynamics
  23. ICML 2026FedQueue: Queue-Aware Federated Learning for Cross-Facility HPC Training
  24. ICML 2026FlashSinkhorn: IO-Aware Entropic Optimal Transport on GPU
  25. ICML 2026Forget by Uncertainty: Orthogonal Entropy Unlearning for Quantized Neural Networks
  26. ICML 2026Forget to Know, Remember to Use: Context-Aware Unlearning for Large Language Models
  27. ICML 2026Forget-It-All: Multi-Concept Machine Unlearning via Concept-Aware Neuron Masking
  28. ICML 2026From Guessing to Placeholding: A Cost-Theoretic Framework for Uncertainty-Aware Code Completion
  29. ICML 2026G-RANS: Generalizable Residual-Aware Neural Solvers for Sparse Systems
  30. ICML 2026GeoDM: Geometry-aware Distribution Matching for Dataset Distillation
  31. ICML 2026GeoEvo: Identity-Aware Potential Game with Geometric Evolution for Personalized Multimodal Federated Learning
  32. ICML 2026Geometry-Aware Decoding with Wasserstein-Regularized Truncation and Mass Penalties for Large Language Models
  33. ICML 2026Geometry-Aware Probabilistic Circuits via Voronoi Tessellations
  34. ICML 2026GHOST: Unmasking Phantom States in Mamba2 via Grouped Hidden-state Output-aware Selection & Truncation
  35. ICML 2026Gradient-Aware Scheduling: Coupling Curriculum and Staleness for Async Reinforcement Learning
  36. ICML 2026Granularity-Aware Adaptive Classifier Expansion via Zero-Shot Learning
  37. ICML 2026Grounding Functional Similarity by Invariance-Aware Model Stitching
  38. ICML 2026H$^2$CL: Heterogeneity-Aware Hypergraph Contrastive Learning for Robust Representation Learning
  39. ICML 2026HASTE: Hardware-Aware Dynamic Sparse Training for Large Output Spaces
  40. ICML 2026HelioX: A GPU-Native Framework for Simulation and Training of Biophysically Detailed Networks
  41. ICML 2026HIAL: Towards Semantics-Aware Hypergraph Active Learning via Dual-Perspective Information Maximization
  42. ICML 2026HTAC: Hierarchical Task-Aware Composition for Continual Offline Reinforcement Learning
  43. ICML 2026Hyper-LLaVA: Hyperbolic Uncertainty-aware Modality-Balanced Routing for Multimodal Continual Instruction Tuning
  44. ICML 2026ImpQuant: Fine-Grained Importance-Aware Quantization for Large Vision-Language Models
  45. ICML 2026Inconsistency-Aware Minimization: Improving Generalization with Unlabeled Data
  46. ICML 2026Inference-Aware Meta-Alignment of LLMs via Non-Linear GRPO
  47. ICML 2026KANFIS: A Neuro-Symbolic Framework for Interpretable and Uncertainty-Aware Learning
  48. ICML 2026KernelBand: Steering LLM-based Kernel Optimization via Hardware-Aware Multi-Armed Bandits
  49. ICML 2026KernelFoundry: Hardware-Aware Evolutionary GPU Kernel Optimization
  50. ICML 2026LangPrecip: Language-Aware Multimodal Precipitation Nowcasting

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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