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 69 篇，第 1 / 2 页

  1. NeurIPS 2024$\boldsymbol{\mu}\mathbf{P^2}$: Effective Sharpness Aware Minimization Requires Layerwise Perturbation Scaling
  2. NeurIPS 2024$\textit{Bifr\"ost}$: 3D-Aware Image Compositing with Language Instructions
  3. NeurIPS 2024A Consistency-Aware Spot-Guided Transformer for Versatile and Hierarchical Point Cloud Registration
  4. NeurIPS 2024A Single-Step, Sharpness-Aware Minimization is All You Need to Achieve Efficient and Accurate Sparse Training
  5. NeurIPS 2024A Topology-aware Graph Coarsening Framework for Continual Graph Learning
  6. NeurIPS 2024A2PO: Towards Effective Offline Reinforcement Learning from an Advantage-aware Perspective
  7. NeurIPS 2024Active Learning with LLMs for Partially Observed and Cost-Aware Scenarios
  8. NeurIPS 2024Approximation-Aware Bayesian Optimization
  9. NeurIPS 2024Association Pattern-aware Fusion for Biological Entity Relationship Prediction
  10. NeurIPS 2024AV-GS: Learning Material and Geometry Aware Priors for Novel View Acoustic Synthesis
  11. NeurIPS 2024Cardinality-Aware Set Prediction and Top-$k$ Classification
  12. NeurIPS 2024Computation-Aware Gaussian Processes: Model Selection And Linear-Time Inference
  13. NeurIPS 2024Con4m: Context-aware Consistency Learning Framework for Segmented Time Series Classification
  14. NeurIPS 2024Context and Geometry Aware Voxel Transformer for Semantic Scene Completion
  15. NeurIPS 2024Context-Aware Testing: A New Paradigm for Model Testing with Large Language Models
  16. NeurIPS 2024Cooperative Hardware-Prompt Learning for Snapshot Compressive Imaging
  17. NeurIPS 2024Cost-aware Bayesian Optimization via the Pandora's Box Gittins Index
  18. NeurIPS 2024DASH: Warm-Starting Neural Network Training in Stationary Settings without Loss of Plasticity
  19. NeurIPS 2024DEPrune: Depth-wise Separable Convolution Pruning for Maximizing GPU Parallelism
  20. NeurIPS 2024DiffusionBlend: Learning 3D Image Prior through Position-aware Diffusion Score Blending for 3D Computed Tomography Reconstruction
  21. NeurIPS 2024DisC-GS: Discontinuity-aware Gaussian Splatting
  22. NeurIPS 2024Distribution-Aware Data Expansion with Diffusion Models
  23. NeurIPS 2024DistrictNet: Decision-aware learning for geographical districting
  24. NeurIPS 2024DoFIT: Domain-aware Federated Instruction Tuning with Alleviated Catastrophic Forgetting
  25. NeurIPS 2024DreamCatcher: A Wearer-aware Multi-modal Sleep Event Dataset Based on Earables in Non-restrictive Environments
  26. NeurIPS 2024Evidential Stochastic Differential Equations for Time-Aware Sequential Recommendation
  27. NeurIPS 2024Explicit Eigenvalue Regularization Improves Sharpness-Aware Minimization
  28. NeurIPS 2024EyeGraph: Modularity-aware Spatio Temporal Graph Clustering for Continuous Event-based Eye Tracking
  29. NeurIPS 2024Fairness-Aware Estimation of Graphical Models
  30. NeurIPS 2024Fairness-Aware Meta-Learning via Nash Bargaining
  31. NeurIPS 2024FedGMKD: An Efficient Prototype Federated Learning Framework through Knowledge Distillation and Discrepancy-Aware Aggregation
  32. NeurIPS 2024FIARSE: Model-Heterogeneous Federated Learning via Importance-Aware Submodel Extraction
  33. NeurIPS 2024FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precision
  34. NeurIPS 2024Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning
  35. NeurIPS 2024Fundamental Convergence Analysis of Sharpness-Aware Minimization
  36. NeurIPS 2024Gated Slot Attention for Efficient Linear-Time Sequence Modeling
  37. NeurIPS 2024GaussianMarker: Uncertainty-Aware Copyright Protection of 3D Gaussian Splatting
  38. NeurIPS 2024Geometry-aware training of factorized layers in tensor Tucker format
  39. NeurIPS 2024Graph-enhanced Optimizers for Structure-aware Recommendation Embedding Evolution
  40. NeurIPS 2024Hierarchical Object-Aware Dual-Level Contrastive Learning for Domain Generalized Stereo Matching
  41. NeurIPS 2024HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Models
  42. NeurIPS 2024Implicit Regularization of Sharpness-Aware Minimization for Scale-Invariant Problems
  43. NeurIPS 2024Learning Interaction-aware 3D Gaussian Splatting for One-shot Hand Avatars
  44. NeurIPS 2024Localize, Understand, Collaborate: Semantic-Aware Dragging via Intention Reasoner
  45. NeurIPS 2024MambaLLIE: Implicit Retinex-Aware Low Light Enhancement with Global-then-Local State Space
  46. NeurIPS 2024MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models
  47. NeurIPS 2024Model Sensitivity Aware Continual Learning
  48. NeurIPS 2024Optimistic Verifiable Training by Controlling Hardware Nondeterminism
  49. NeurIPS 2024Parallelizing Linear Transformers with the Delta Rule over Sequence Length
  50. NeurIPS 2024Perplexity-aware Correction for Robust Alignment with Noisy Preferences

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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