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 340 篇，第 1 / 7 页

  1. ICML 20261-Bit Wonder: Improving QAT Performance in the Low-Bit Regime through K-Means Quantization
  2. ICML 20264DPC$^2$hat: Towards Dynamic Point Cloud Understanding with Failure-Aware Bootstrapping
  3. ICML 2026A Conflict-aware Evidential Framework for Reliable Sleep Stage Classification
  4. ICML 2026A Geometry-Aware Efficient Algorithm for Compositional Entropic Risk Minimization
  5. ICML 2026A Judge-Aware Ranking Framework for Evaluating Large Language Models without Ground Truth
  6. ICML 2026AES: Curing Optimizer Blindness in Long-Tailed Recognition via State-Aware Correction
  7. ICML 2026AgentTailor: A Semantic-Aware LLM-Based Multi-Agent System with Actor-Critic Structure
  8. ICML 2026Alignment-Aware Decoding
  9. ICML 2026Anchor-Final Self-Supervision Drives Hallucination-Aware Optimization in Large Vision-Language Models
  10. ICML 2026ArborKV: Structure-Aware KV Cache Management for Scaling Tree-based LLM Reasoning
  11. ICML 2026Attention Sink Forges Native MoE in Attention Layers: Sink-Aware Training to Address Head Collapse
  12. ICML 2026Attn-QAT: 4-Bit Attention With Quantization-Aware Training
  13. ICML 2026Attribution-Guided and Coverage-Maximized Pruning for Structural MoE Compression
  14. ICML 2026AutoNumerics-Zero: Automated Discovery of State-of-the-Art Mathematical Functions
  15. ICML 2026BandPO: Bridging Trust Regions and Ratio Clipping via Probability-Aware Bounds for LLM Reinforcement Learning
  16. ICML 2026Beyond Hamming: Query-Aware Decoding of Binary Cosine Sketches
  17. ICML 2026Beyond Perplexity: UTF-8 Validity in Byte-aware Language Models
  18. ICML 2026Beyond Point-wise Neural Collapse: A Topology-Aware Hierarchical Classifier for Class-Incremental Learning
  19. ICML 2026Beyond Prediction: Tail-Aware Scheduling for LLM Inference
  20. ICML 2026Blocking the Leakage: Manifold-Aware Gradient Projection for Long-Horizon Test-Time Adaptation
  21. ICML 2026BPL: Generalizable Deepfake Detection via Bias-only Pair-aware Learning
  22. ICML 2026Causal-aware Anomaly Detection for Tabular Data
  23. ICML 2026CELL: A Causal Perspective for Fairness-aware Graph Adaptation
  24. ICML 2026Cluster-Aware Causal Mixer for Online Anomaly Detection in Multivariate Time Series
  25. ICML 2026Concept Heterogeneity-aware Representation Steering
  26. ICML 2026CONGA:Confidence-and-Gradient-Aware Learning Rate Schedule for Test Time Adaptation
  27. ICML 2026CONTINUUM: Restoring the Contiguous Tensor Abstraction Efficiently for Dynamic AI Workloads via Hardware Virtualization
  28. ICML 2026Convolutional Learnable-Group Weightless Neural Network
  29. ICML 2026CORAL: Uncertainty-Aware Regulation of Exposure Concentration in Recommender Systems
  30. ICML 2026Cost-aware Stopping for Bayesian Optimization
  31. ICML 2026Courtroom Analogy: New Perspective on Uncertainty-Aware Classification
  32. ICML 2026CRAMER: Control via Request-Aware Masking for Editing Recommenders
  33. ICML 2026Crowd4D: Scene-Aware Monocular 4D Crowd Reconstruction
  34. ICML 2026DARC: Disagreement-Aware Alignment via Risk-Constrained Decoding
  35. ICML 2026DARTS: Distribution-Aware Active Rollout Trajectory Shaping for Accelerating LLM Reinforcement Learning
  36. ICML 2026DAVE: Distribution-Aware Attribution via ViT Gradient Decomposition
  37. ICML 2026DDSVM: A Differentiable Framework for Deep Support Vector Machines with Iterative Geometry-Aware Optimization
  38. ICML 2026Deep Multi-view Graph Clustering via Attribute-aware Bidirectional Structural Refinement and Pseudo-label Guided Multi-level Fusion
  39. ICML 2026Deep Scientific Reasoning under Physical Constraints: Structure-Aware Spectrum Prediction
  40. ICML 2026Dependence-Aware Label Aggregation for LLM-as-a-Judge via Ising Models
  41. ICML 2026Detecting Contextual Hallucinations in Large Language Models with Frequency-Aware Attention
  42. ICML 2026Diversity-Aware Recursive Feature Multiple Kernel Learning
  43. ICML 2026Diversity-aware Weight Perturbation Promotes Robust Adaptation
  44. ICML 2026DMCO: Budget-Aware Co-Optimization of Data Cleaning and AutoML
  45. ICML 2026Does a Hybrid Space-Aware Randomized Defense Improve Empirical and Certified Adversarial Robustness?
  46. ICML 2026Domain-Shift-Aware Conformal Prediction for Large Language Models
  47. ICML 2026DRL-STAF: A Deep Reinforcement Learning Framework for State-Aware Forecasting of Complex Multivariate Hidden Markov Processes
  48. ICML 2026Dynamic TMoE: A Drift-Aware Dynamic Mixture of Experts Framework for Non-Stationary Time Series Forecasting
  49. ICML 2026ECO: Quantized Training without Full-Precision Master Weights
  50. ICML 2026Efficient and Uncertainty-Aware Diffusion Framework for Offline-to-Online Reinforcement Learning

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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