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 232 篇，第 2 / 5 页

  1. ICLR 2026GOT-Edit: Geometry-Aware Generic Object Tracking via Online Model Editing
  2. ICLR 2026Gradient-Direction-Aware Density Control for 3D Gaussian Splatting
  3. ICLR 2026Hallucination-aware Intermediate Representation Editing in Large Vision-Lanugage Models
  4. ICLR 2026Horseshoe Splatting: Handling Structural Sparsity for Uncertainty-Aware Gaussian-Splatting Radiance Field Rendering
  5. ICLR 2026Hyperbolic Aware Minimization: Implicit Bias for Sparsity
  6. ICLR 2026IGU-LoRA: Adaptive Rank Allocation via Integrated Gradients and Uncertainty-Aware Scoring
  7. ICLR 2026Imitating the Truth: Attention-aware Truth-Guided Enhancement for Hallucination Mitigation in Large Vision-Language Models
  8. ICLR 2026Keep the Best, Forget the Rest: Reliable Alignment with Order-Aware Preference Optimization
  9. ICLR 2026Knowledge Editing with Subspace-Aware Key-Value Mappings
  10. ICLR 2026LANE: Label-Aware Noise Elimination for Fine-Grained Text Classification
  11. ICLR 2026Language Confusion Gate: Language-Aware Decoding Through Model Self-Distillation
  12. ICLR 2026Learning Part-Aware Dense 3D Feature Field For Generalizable Articulated Object Manipulation
  13. ICLR 2026Learning Semi-Structured Sparsity for LLMs via Shared and Context-Aware Hypernetwork
  14. ICLR 2026Lipschitz Bandits with Stochastic Delayed Feedback
  15. ICLR 2026MAVEN: A Mesh-Aware Volumetric Encoding Network for Simulating 3D Flexible Deformation
  16. ICLR 2026Membership Privacy Risks of Sharpness Aware Minimization
  17. ICLR 2026MergOPT: A Merge-Aware Optimizer for Robust Model Merging
  18. ICLR 2026Minor First, Major Last: A Depth-Induced Implicit Bias of Sharpness-Aware Minimization
  19. ICLR 2026Model-based Offline RL via Robust Value-Aware Model Learning with Implicitly Differentiable Adaptive Weighting
  20. ICLR 2026NDAD: Negative-Direction Aware Decoding for Large Language Models via Controllable Hallucination Signal Injection
  21. ICLR 2026Neuron-Aware Data Selection in Instruction Tuning for Large Language Models
  22. ICLR 2026Noise-Aware Generalization: Robustness to In-Domain Noise and Out-of-Domain Generalization
  23. ICLR 2026Non-Convex Federated Optimization under Cost-Aware Client Selection
  24. ICLR 2026OWL : Geometry-Aware Spatial Reasoning for Audio Large Language Models
  25. ICLR 2026Paper Copilot: Tracking the Evolution of Peer Review in AI Conferences
  26. ICLR 2026PEAR: Phase Entropy Aware Reward for Efficient Reasoning
  27. ICLR 2026PRISM: Festina Lente Proactivity—Risk-Sensitive, Uncertainty-Aware Deliberation for Proactive Agents
  28. ICLR 2026Quantization-Aware Diffusion Models For Maximum Likelihood Training
  29. ICLR 2026QWHA: Quantization-Aware Walsh-Hadamard Adaptation for Parameter-Efficient Fine-Tuning on Large Language Models
  30. ICLR 2026RADAR: Learning to Route with Asymmetry-aware Distance Representations
  31. ICLR 2026RADAR: Reasoning–Ability and Difficulty-Aware Routing in Language Models
  32. ICLR 2026RankFlow: Property-aware Transport for Protein Optimization
  33. ICLR 2026Relationship Alignment for View-aware Multi-view Clustering
  34. ICLR 2026Rényi Sharpness: A Novel Sharpness that Strongly Correlates with Generalization
  35. ICLR 2026RESFL: An Uncertainty-Aware Framework for Responsible Federated Learning by Balancing Privacy, Fairness and Utility
  36. ICLR 2026Revisiting Sharpness-Aware Minimization: A More Faithful and Effective Implementation
  37. ICLR 2026Robust Adversarial Quantification via Conflict-Aware Evidential Deep Learning
  38. ICLR 2026SAQ: Stabilizer-Aware Quantum Error Correction Decoder
  39. ICLR 2026SCAD: Super-Class-Aware Debiasing for Long-Tailed Semi-Supervised Learning
  40. ICLR 2026Secure Outlier-Aware Large Language Model Inference
  41. ICLR 2026Sem-MoE: Semantic-aware Model-Data Collaborative Scheduling for Efficient MoE Inference
  42. ICLR 2026Semantic-Aware Diffusion LLM Inference With Adaptive Block Size
  43. ICLR 2026Semantic-aware Wasserstein Policy Regularization for Large Language Model Alignment
  44. ICLR 2026SERQ: Saliency-Aware Low-Rank Error Reconstruction for LLM Quantization
  45. ICLR 2026SHAPO: Sharpness-Aware Policy Optimization for Safe Exploration
  46. ICLR 2026Sharpness-Aware Machine Unlearning
  47. ICLR 2026Sharpness-Aware Minimization in Logit Space Efficiently Enhances Direct Preference Optimization
  48. ICLR 2026SNaX: sparse narrow accelerated mixture of experts
  49. ICLR 2026SONA: Learning Conditional, Unconditional, and Matching-Aware Discriminator
  50. ICLR 2026SpecBranch: Speculative Decoding via Hybrid Drafting and Rollback-Aware Branch Parallelism

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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