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 25 / 31 页

  1. ICLR 2024Entropy-MCMC: Sampling from Flat Basins with Ease
  2. ICLR 2024FedCDA: Federated Learning with Cross-rounds Divergence-aware Aggregation
  3. ICLR 2024FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices Using a Computing Power-Aware Scheduler
  4. ICLR 2024GAFormer: Enhancing Timeseries Transformers Through Group-Aware Embeddings
  5. ICLR 2024Geometry-Aware Projective Mapping for Unbounded Neural Radiance Fields
  6. ICLR 2024GTA: A Geometry-Aware Attention Mechanism for Multi-View Transformers
  7. ICLR 2024Harnessing Joint Rain-/Detail-aware Representations to Eliminate Intricate Rains
  8. ICLR 2024Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing
  9. ICLR 2024Incentive-Aware Federated Learning with Training-Time Model Rewards
  10. ICLR 2024Locality-Aware Graph Rewiring in GNNs
  11. ICLR 2024LoftQ: LoRA-Fine-Tuning-aware Quantization for Large Language Models
  12. ICLR 2024Multi-task Learning with 3D-Aware Regularization
  13. ICLR 2024Principled Architecture-aware Scaling of Hyperparameters
  14. ICLR 2024Protein-Ligand Interaction Prior for Binding-aware 3D Molecule Diffusion Models
  15. ICLR 2024QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models
  16. ICLR 2024SaNN: Simple Yet Powerful Simplicial-aware Neural Networks
  17. ICLR 2024SaProt: Protein Language Modeling with Structure-aware Vocabulary
  18. ICLR 2024Sharpness-Aware Data Poisoning Attack
  19. ICLR 2024Sharpness-Aware Minimization Enhances Feature Quality via Balanced Learning
  20. ICLR 2024Structural Fairness-aware Active Learning for Graph Neural Networks
  21. ICLR 2024Towards Cheaper Inference in Deep Networks with Lower Bit-Width Accumulators
  22. ICLR 2024TRAM: Bridging Trust Regions and Sharpness Aware Minimization
  23. ICLR 2024Uncertainty-aware Constraint Inference in Inverse Constrained Reinforcement Learning
  24. ICLR 2024Uncertainty-aware Graph-based Hyperspectral Image Classification
  25. ICLR 2024Unknown Domain Inconsistency Minimization for Domain Generalization
  26. ICLR 2024Variance-aware Regret Bounds for Stochastic Contextual Dueling Bandits
  27. ICLR 2024Zero Bubble (Almost) Pipeline Parallelism
  28. ICML 2024A Universal Class of Sharpness-Aware Minimization Algorithms
  29. ICML 2024A2Q+: Improving Accumulator-Aware Weight Quantization
  30. ICML 2024ACE: Off-Policy Actor-Critic with Causality-Aware Entropy Regularization
  31. ICML 2024Ambiguity-Aware Abductive Learning
  32. ICML 2024AttnLRP: Attention-Aware Layer-Wise Relevance Propagation for Transformers
  33. ICML 2024Balancing Feature Similarity and Label Variability for Optimal Size-Aware One-shot Subset Selection
  34. ICML 2024Beyond the Federation: Topology-aware Federated Learning for Generalization to Unseen Clients
  35. ICML 2024Category-Aware Active Domain Adaptation
  36. ICML 2024Causal Action Influence Aware Counterfactual Data Augmentation
  37. ICML 2024Cluster-Aware Similarity Diffusion for Instance Retrieval
  38. ICML 2024Confidence Aware Inverse Constrained Reinforcement Learning
  39. ICML 2024Confidence-aware Contrastive Learning for Selective Classification
  40. ICML 2024Ditto: Quantization-aware Secure Inference of Transformers upon MPC
  41. ICML 2024Drug Discovery with Dynamic Goal-aware Fragments
  42. ICML 2024DsDm: Model-Aware Dataset Selection with Datamodels
  43. ICML 2024Efficient Precision and Recall Metrics for Assessing Generative Models using Hubness-aware Sampling
  44. ICML 2024Evaluation of LLMs on Syntax-Aware Code Fill-in-the-Middle Tasks
  45. ICML 2024Explaining Graph Neural Networks via Structure-aware Interaction Index
  46. ICML 2024Fast Peer Adaptation with Context-aware Exploration
  47. ICML 2024Gated Linear Attention Transformers with Hardware-Efficient Training
  48. ICML 2024Geometry-Aware Instrumental Variable Regression
  49. ICML 2024Hierarchical Neural Operator Transformer with Learnable Frequency-aware Loss Prior for Arbitrary-scale Super-resolution
  50. ICML 2024Improving Sharpness-Aware Minimization by Lookahead

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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