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 232 篇，第 4 / 5 页

  1. ICLR 2025Scale-aware Recognition in Satellite Images under Resource Constraints
  2. ICLR 2025Second Order Bounds for Contextual Bandits with Function Approximation
  3. ICLR 2025Semantic Aware Representation Learning for Lifelong Learning
  4. ICLR 2025Sharpness-Aware Minimization Efficiently Selects Flatter Minima Late In Training
  5. ICLR 2025SPAM: Spike-Aware Adam with Momentum Reset for Stable LLM Training
  6. ICLR 2025Spatial-Mamba: Effective Visual State Space Models via Structure-Aware State Fusion
  7. ICLR 2025Stochastic Semi-Gradient Descent for Learning Mean Field Games with Population-Aware Function Approximation
  8. ICLR 2025Subtask-Aware Visual Reward Learning from Segmented Demonstrations
  9. ICLR 2025SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression
  10. ICLR 2025SynQ: Accurate Zero-shot Quantization by Synthesis-aware Fine-tuning
  11. ICLR 2025TD-Paint: Faster Diffusion Inpainting Through Time-Aware Pixel Conditioning
  12. ICLR 2025TopoDiffusionNet: A Topology-aware Diffusion Model
  13. ICLR 2025Uncertainty-Aware Decoding with Minimum Bayes Risk
  14. ICLR 2025Utility-Directed Conformal Prediction: A Decision-Aware Framework for Actionable Uncertainty Quantification
  15. ICLR 2024A Symmetry-Aware Exploration of Bayesian Neural Network Posteriors
  16. ICLR 2024Active Retrosynthetic Planning Aware of Route Quality
  17. ICLR 2024Adaptive Sharpness-Aware Pruning for Robust Sparse Networks
  18. ICLR 2024Automatic Functional Differentiation in JAX
  19. ICLR 2024Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference
  20. ICLR 2024Context-Aware Meta-Learning
  21. ICLR 2024Coordinate-Aware Modulation for Neural Fields
  22. ICLR 2024Curriculum reinforcement learning for quantum architecture search under hardware errors
  23. ICLR 2024DAFA: Distance-Aware Fair Adversarial Training
  24. ICLR 2024Data Debugging with Shapley Importance over Machine Learning Pipelines
  25. ICLR 2024Data-independent Module-aware Pruning for Hierarchical Vision Transformers
  26. ICLR 2024DATS: Difficulty-Aware Task Sampler for Meta-Learning Physics-Informed Neural Networks
  27. ICLR 2024Denoising Diffusion Step-aware Models
  28. ICLR 2024Detecting Machine-Generated Texts by Multi-Population Aware Optimization for Maximum Mean Discrepancy
  29. ICLR 2024Discovering Temporally-Aware Reinforcement Learning Algorithms
  30. ICLR 2024Domain-Inspired Sharpness-Aware Minimization Under Domain Shifts
  31. ICLR 2024Efficient Sharpness-Aware Minimization for Molecular Graph Transformer Models
  32. ICLR 2024EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion Models
  33. ICLR 2024Entropy-MCMC: Sampling from Flat Basins with Ease
  34. ICLR 2024FedCDA: Federated Learning with Cross-rounds Divergence-aware Aggregation
  35. ICLR 2024FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices Using a Computing Power-Aware Scheduler
  36. ICLR 2024GAFormer: Enhancing Timeseries Transformers Through Group-Aware Embeddings
  37. ICLR 2024Geometry-Aware Projective Mapping for Unbounded Neural Radiance Fields
  38. ICLR 2024GTA: A Geometry-Aware Attention Mechanism for Multi-View Transformers
  39. ICLR 2024Harnessing Joint Rain-/Detail-aware Representations to Eliminate Intricate Rains
  40. ICLR 2024Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing
  41. ICLR 2024Incentive-Aware Federated Learning with Training-Time Model Rewards
  42. ICLR 2024Locality-Aware Graph Rewiring in GNNs
  43. ICLR 2024LoftQ: LoRA-Fine-Tuning-aware Quantization for Large Language Models
  44. ICLR 2024Multi-task Learning with 3D-Aware Regularization
  45. ICLR 2024Principled Architecture-aware Scaling of Hyperparameters
  46. ICLR 2024Protein-Ligand Interaction Prior for Binding-aware 3D Molecule Diffusion Models
  47. ICLR 2024QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models
  48. ICLR 2024SaNN: Simple Yet Powerful Simplicial-aware Neural Networks
  49. ICLR 2024SaProt: Protein Language Modeling with Structure-aware Vocabulary
  50. ICLR 2024Sharpness-Aware Data Poisoning Attack

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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