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 2 / 10 页

  1. NeurIPS 2026Contribution-Aware Structured Sparsity for Model Merging
  2. NeurIPS 2026CoQuant: Covariance-Aware Rotation for 2-bit KV Cache Quantization
  3. NeurIPS 2026CORAL: A Benchmark for Structure-aware and Brain-wide Neuron Reconstruction in Light Microscopy
  4. NeurIPS 2026Correlation-Aware Contextual Bandits with Surrogate Rewards for LLM Routing
  5. NeurIPS 2026Cost-Aware Learning
  6. NeurIPS 2026CurveRL: Principled Distribution-Aware Context Reweighting for LLM Reasoning
  7. NeurIPS 2026D-PACE: Dynamic Position-Aware Cross-Entropy for Parallel Speculative Drafting
  8. NeurIPS 2026DACA-GRPO: Denoising-Aware Credit Assignment for Reinforcement Learning in Diffusion Language Models
  9. NeurIPS 2026DAPS: Dependency-Aware Premise Selection for LLM Theorem Proving
  10. NeurIPS 2026DARPAN: Controllability-Aware Residual Filtering for Pretrained Physical Control
  11. NeurIPS 2026DAWN: Dependency-Aware Fast Inference for Diffusion LLMs
  12. NeurIPS 2026Decision-Aware Proximal Bridge Learning for Optimal Treatment Selection
  13. NeurIPS 2026DegradeQuery: Counterfactual Tuple Pretraining for Context-Aware PROTAC Degradation Prediction
  14. NeurIPS 2026Dexterous Skill Discovery via Topology-Aware Wasserstein Dependency
  15. NeurIPS 2026DGRAF: Observation-Quality-Aware Reinforcement Learning for Dynamic Reconfigurable Batteries
  16. NeurIPS 2026Diff3R: Feed-forward 3D Gaussian Splatting with Uncertainty Aware Differentiable Optimization
  17. NeurIPS 2026DiffCool: Label-Free Synthesis of Chip-Tailored Heat Sinks via Thermal-Aware Diffusion
  18. NeurIPS 2026DiM$^3$: Bridging Multilingual and Multimodal Models via Direction- and Magnitude-Aware Merging
  19. NeurIPS 2026Direction-Aware Offline-to-Online Learning in Linear Contextual Bandits
  20. NeurIPS 2026Disentangling Channel Semantics in Vision Transformers via Token Decorrelation and Composition-Aware Modulation
  21. NeurIPS 2026Distilling What Matters: Confidence-Aware Selective Distillation for Large Language Models
  22. NeurIPS 2026DRIVE: Fine-tuning via Data Contribution- and Diversity-aware Weighting with Prior Regularization
  23. NeurIPS 2026DriveFuture: Future-Aware Latent World Models for Autonomous Driving
  24. NeurIPS 2026Driver Attention as Competitive Allocation: A Scene--Task-Aware Dual-Branch Framework
  25. NeurIPS 2026DTA-GT: Direction- and Topology-Aware Graph Transformer for Neural Network Representation Learning
  26. NeurIPS 2026Dynamic Convolutions Improve Transformers
  27. NeurIPS 2026EAT: Eviction-Aware Training for Long-Context LLM Inference on Edge Devices
  28. NeurIPS 2026Editing Large Language Models with Geometry-Aware Regularization
  29. NeurIPS 2026EENAS: Zero-Shot Energy-Efficiency-Aware Neural Architecture Search
  30. NeurIPS 2026Efficient Gradient-Aware Asynchronous Reinforcement Learning for LLM Post-Training
  31. NeurIPS 2026EfficientRollout: System-Aware Self-Speculative Decoding for RL Rollouts
  32. NeurIPS 2026Embedded-Arena: Building Hardware-in-the-Loop Coding Agents to Run AI on Microcontrollers
  33. NeurIPS 2026EpiStream: Utility-Aware Temporal Abstraction for Dense-Action Streams
  34. NeurIPS 2026EvoInspect: A Unified Self-Evolving Multi-Agent Framework for Industrial Hardware Inspection
  35. NeurIPS 2026Extending ROC Analysis to Uncertainty-Aware Risk Prediction with an Interval-Based AUC (iAUC)
  36. NeurIPS 2026ExtraVAR: Stage-Aware RoPE Remapping for Resolution Extrapolation in Visual Autoregressive Models
  37. NeurIPS 2026Extremely Sparse-View Computed Tomography from 2D Projections via Pose-Aware Diffusion Priors
  38. NeurIPS 2026F2G-Pose: Geometry-Aware Foundation Feature Lifting for Direct RGB-D Category-Level Object Pose Estimation
  39. NeurIPS 2026Face Deepfake-aware Recovery via Semantic-driven Facial Representation-based Watermarking
  40. NeurIPS 2026FASD: Hardware Acceleration for Multi-AI-Agent Discussion
  41. NeurIPS 2026FedProG: Federated Graph Learning via Server-Side LLM Semantic Bridging and Uncertainty-Aware Distillation
  42. NeurIPS 2026FlashFFN: Multi-Head Decomposition Enables I/O-Aware Feed-Forward Network
  43. NeurIPS 2026FlashMask-3: Efficient and Expressive Mask-Aware Distributed Attention
  44. NeurIPS 2026Flux Attention: Context-Aware Hybrid Attention for Efficient LLMs Inference
  45. NeurIPS 2026FLUX: Geometry-Aware Longitudinal Flow Matching with Mixture of Experts
  46. NeurIPS 2026FOGO: Forgetting-aware Orthogonalization Optimizer
  47. NeurIPS 2026ForceLDM: A Force-aware Latent Dynamics Model for Contact-Rich Manipulation
  48. NeurIPS 2026From Sample to Subset Construction: Coverage-Aware Curation of Robot Demonstrations
  49. NeurIPS 2026GeneZip: Region-Aware Compression for Long Context DNA Modeling
  50. NeurIPS 2026Geometry-Aware Directional Alignment for Coherent Model Merging

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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