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 26 / 31 页

  1. ICML 2024Integrated Hardware Architecture and Device Placement Search
  2. ICML 2024Knowledge-aware Reinforced Language Models for Protein Directed Evolution
  3. ICML 2024Layer-Aware Analysis of Catastrophic Overfitting: Revealing the Pseudo-Robust Shortcut Dependency
  4. ICML 2024Learning Scale-Aware Spatio-temporal Implicit Representation for Event-based Motion Deblurring
  5. ICML 2024Learning Solution-Aware Transformers for Efficiently Solving Quadratic Assignment Problem
  6. ICML 2024Learning to Predict Mutational Effects of Protein-Protein Interactions by Microenvironment-aware Hierarchical Prompt Learning
  7. ICML 2024Locally Estimated Global Perturbations are Better than Local Perturbations for Federated Sharpness-aware Minimization
  8. ICML 2024Lookbehind-SAM: k steps back, 1 step forward
  9. ICML 2024MagicPose: Realistic Human Poses and Facial Expressions Retargeting with Identity-aware Diffusion
  10. ICML 2024MS-TIP: Imputation Aware Pedestrian Trajectory Prediction
  11. ICML 2024Noise-Aware Algorithm for Heterogeneous Differentially Private Federated Learning
  12. ICML 2024On the Duality Between Sharpness-Aware Minimization and Adversarial Training
  13. ICML 2024On The Fairness Impacts of Hardware Selection in Machine Learning
  14. ICML 2024On the Maximal Local Disparity of Fairness-Aware Classifiers
  15. ICML 2024Outlier-aware Slicing for Post-Training Quantization in Vision Transformer
  16. ICML 2024PANDA: Expanded Width-Aware Message Passing Beyond Rewiring
  17. ICML 2024PAPM: A Physics-aware Proxy Model for Process Systems
  18. ICML 2024Privately Learning Smooth Distributions on the Hypercube by Projections
  19. ICML 2024QUEST: Query-Aware Sparsity for Efficient Long-Context LLM Inference
  20. ICML 2024Reshape and Adapt for Output Quantization (RAOQ): Quantization-aware Training for In-memory Computing Systems
  21. ICML 2024Risk Aware Benchmarking of Large Language Models
  22. ICML 2024SAMformer: Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention
  23. ICML 2024Short-Long Convolutions Help Hardware-Efficient Linear Attention to Focus on Long Sequences
  24. ICML 2024Split-Ensemble: Efficient OOD-aware Ensemble via Task and Model Splitting
  25. ICML 2024Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks
  26. ICML 2024Task-aware Orthogonal Sparse Network for Exploring Shared Knowledge in Continual Learning
  27. ICML 2024TimeMIL: Advancing Multivariate Time Series Classification via a Time-aware Multiple Instance Learning
  28. ICML 2024TinyTrain: Resource-Aware Task-Adaptive Sparse Training of DNNs at the Data-Scarce Edge
  29. ICML 2024Trust the Model Where It Trusts Itself - Model-Based Actor-Critic with Uncertainty-Aware Rollout Adaption
  30. ICML 2024Uncertainty Estimation by Density Aware Evidential Deep Learning
  31. ICML 2024Variational Partial Group Convolutions for Input-Aware Partial Equivariance of Rotations and Color-Shifts
  32. ICML 2024Winner-takes-all learners are geometry-aware conditional density estimators
  33. NeurIPS 2024$\boldsymbol{\mu}\mathbf{P^2}$: Effective Sharpness Aware Minimization Requires Layerwise Perturbation Scaling
  34. NeurIPS 2024$\textit{Bifr\"ost}$: 3D-Aware Image Compositing with Language Instructions
  35. NeurIPS 2024A Consistency-Aware Spot-Guided Transformer for Versatile and Hierarchical Point Cloud Registration
  36. NeurIPS 2024A Single-Step, Sharpness-Aware Minimization is All You Need to Achieve Efficient and Accurate Sparse Training
  37. NeurIPS 2024A Topology-aware Graph Coarsening Framework for Continual Graph Learning
  38. NeurIPS 2024A2PO: Towards Effective Offline Reinforcement Learning from an Advantage-aware Perspective
  39. NeurIPS 2024Active Learning with LLMs for Partially Observed and Cost-Aware Scenarios
  40. NeurIPS 2024Approximation-Aware Bayesian Optimization
  41. NeurIPS 2024Association Pattern-aware Fusion for Biological Entity Relationship Prediction
  42. NeurIPS 2024AV-GS: Learning Material and Geometry Aware Priors for Novel View Acoustic Synthesis
  43. NeurIPS 2024Cardinality-Aware Set Prediction and Top-$k$ Classification
  44. NeurIPS 2024Computation-Aware Gaussian Processes: Model Selection And Linear-Time Inference
  45. NeurIPS 2024Con4m: Context-aware Consistency Learning Framework for Segmented Time Series Classification
  46. NeurIPS 2024Context and Geometry Aware Voxel Transformer for Semantic Scene Completion
  47. NeurIPS 2024Context-Aware Testing: A New Paradigm for Model Testing with Large Language Models
  48. NeurIPS 2024Cooperative Hardware-Prompt Learning for Snapshot Compressive Imaging
  49. NeurIPS 2024Cost-aware Bayesian Optimization via the Pandora's Box Gittins Index
  50. NeurIPS 2024DASH: Warm-Starting Neural Network Training in Stationary Settings without Loss of Plasticity

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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