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

共 473 篇,第 8 / 10 页

  1. NeurIPS 2025SPACE: SPike-Aware Consistency Enhancement for Test-Time Adaptation in Spiking Neural Networks
  2. NeurIPS 2025SPARKE: Scalable Prompt-Aware Diversity and Novelty Guidance in Diffusion Models via RKE Score
  3. NeurIPS 2025Spatially-aware Weights Tokenization for NeRF-Language Models
  4. NeurIPS 2025SpiderSolver: A Geometry-Aware Transformer for Solving PDEs on Complex Geometries
  5. NeurIPS 2025SRHand: Super-Resolving Hand Images and 3D Shapes via View/Pose-aware Neural Image Representations and Explicit Meshes
  6. NeurIPS 2025Structure-Aware Cooperative Ensemble Evolutionary Optimization on Combinatorial Problems with Multimodal Large Language Models
  7. NeurIPS 2025Structure-Aware Fusion with Progressive Injection for Multimodal Molecular Representation Learning
  8. NeurIPS 2025Structure-Aware Spectral Sparsification via Uniform Edge Sampling
  9. NeurIPS 2025SUMO: Subspace-Aware Moment-Orthogonalization for Accelerating Memory-Efficient LLM Training
  10. NeurIPS 2025Surface-Aware Feed-Forward Quadratic Gaussian for Frame Interpolation with Large Motion
  11. NeurIPS 2025Temporal Smoothness-Aware Rate-Distortion Optimized 4D Gaussian Splatting
  12. NeurIPS 2025The Overthinker's DIET: Cutting Token Calories with DIfficulty-AwarE Training
  13. NeurIPS 2025Thinking in Character: Advancing Role-Playing Agents with Role-Aware Reasoning
  14. NeurIPS 2025Token-Level Self-Play with Importance-Aware Guidance for Large Language Models
  15. NeurIPS 2025Topology-Aware Conformal Prediction for Stream Networks
  16. NeurIPS 2025Topology-aware Graph Diffusion Model with Persistent Homology
  17. NeurIPS 2025Topology-Aware Learning of Tubular Manifolds via SE(3)-Equivariant Network on Ball B-Spline Curve
  18. NeurIPS 2025Towards precision protein-ligand affinity prediction benchmark: A Complete and Modification-Aware DAVIS Dataset
  19. NeurIPS 2025Towards Unsupervised Training of Matching-based Graph Edit Distance Solver via Preference-aware GAN
  20. NeurIPS 2025Transforming Gaps into Gains: Bridging Model and Data Heterogeneity in Federated Learning via Knowledge Weak-Aware Zones
  21. NeurIPS 2025Turning the Tables: Enabling Backward Transfer via Causal-Aware LoRA in Continual Learning
  22. NeurIPS 2025U-CAN: Unsupervised Point Cloud Denoising with Consistency-Aware Noise2Noise Matching
  23. NeurIPS 2025Uncertainty-aware Preference Alignment for Diffusion Policies
  24. NeurIPS 2025Unlearning-Aware Minimization
  25. NeurIPS 2025Unveiling m-Sharpness Through the Structure of Stochastic Gradient Noise
  26. NeurIPS 2025User-Instructed Disparity-aware Defocus Control
  27. NeurIPS 2025Variance-Aware Feel-Good Thompson Sampling for Contextual Bandits
  28. NeurIPS 2025ViSpec: Accelerating Vision-Language Models with Vision-Aware Speculative Decoding
  29. NeurIPS 2025Vulnerable Data-Aware Adversarial Training
  30. NeurIPS 2025WaveAR: Wavelet-Aware Continuous Autoregressive Diffusion for Accurate Human Motion Prediction
  31. NeurIPS 2025When Causal Dynamics Matter: Adapting Causal Strategies through Meta-Aware Interventions
  32. NeurIPS 2025World-aware Planning Narratives Enhance Large Vision-Language Model Planner
  33. NeurIPS 2025ZPressor: Bottleneck-Aware Compression for Scalable Feed-Forward 3DGS
  34. NeurIPS 2024$\boldsymbol{\mu}\mathbf{P^2}$: Effective Sharpness Aware Minimization Requires Layerwise Perturbation Scaling
  35. NeurIPS 2024$\textit{Bifr\"ost}$: 3D-Aware Image Compositing with Language Instructions
  36. NeurIPS 2024A Consistency-Aware Spot-Guided Transformer for Versatile and Hierarchical Point Cloud Registration
  37. NeurIPS 2024A Single-Step, Sharpness-Aware Minimization is All You Need to Achieve Efficient and Accurate Sparse Training
  38. NeurIPS 2024A Topology-aware Graph Coarsening Framework for Continual Graph Learning
  39. NeurIPS 2024A2PO: Towards Effective Offline Reinforcement Learning from an Advantage-aware Perspective
  40. NeurIPS 2024Active Learning with LLMs for Partially Observed and Cost-Aware Scenarios
  41. NeurIPS 2024Approximation-Aware Bayesian Optimization
  42. NeurIPS 2024Association Pattern-aware Fusion for Biological Entity Relationship Prediction
  43. NeurIPS 2024AV-GS: Learning Material and Geometry Aware Priors for Novel View Acoustic Synthesis
  44. NeurIPS 2024Cardinality-Aware Set Prediction and Top-$k$ Classification
  45. NeurIPS 2024Computation-Aware Gaussian Processes: Model Selection And Linear-Time Inference
  46. NeurIPS 2024Con4m: Context-aware Consistency Learning Framework for Segmented Time Series Classification
  47. NeurIPS 2024Context and Geometry Aware Voxel Transformer for Semantic Scene Completion
  48. NeurIPS 2024Context-Aware Testing: A New Paradigm for Model Testing with Large Language Models
  49. NeurIPS 2024Cooperative Hardware-Prompt Learning for Snapshot Compressive Imaging
  50. NeurIPS 2024Cost-aware Bayesian Optimization via the Pandora's Box Gittins Index

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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