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 765 篇，第 14 / 16 页

  1. NeurIPS 2026MOBO-CAPS: Multi-objective Bayesian Optimization with Cardinality-Aware Pareto Selection
  2. NeurIPS 2026Modality-Aware Expert Pruning for MoE-Based Multimodal Large Language Models
  3. NeurIPS 2026Mode-Controlled Policy Optimization: A Geometry-Aware Recipe for LLM Post-Training
  4. NeurIPS 2026Model Distribution-Aware Multimodal Dataset Distillation
  5. NeurIPS 2026Model-Aware Tokenizer Transfer
  6. NeurIPS 2026Module-Aware Optimization for Graph Neural Networks
  7. NeurIPS 2026MoME: Mixture-of-Memory Embeddings for Context-Aware Sparse Lookup
  8. NeurIPS 2026MoT3DVG: A Benchmark for Outdoor 3D Visual Grounding with Motion-Aware Descriptions and Temporal Cues
  9. NeurIPS 2026Neighbor-Aware Snapshot-Based Temporal Graph Learning
  10. NeurIPS 2026No Coin Left Behind: Maximizing Strategic Surplus Against No-Regret Dynamics
  11. NeurIPS 2026No Free Alignment: Observability-Aware Alignment for Multimodal Heterogeneous Learning
  12. NeurIPS 2026Not Every Rubric Teaches Equally: Policy-Aware Rubric Rewards for RLVR
  13. NeurIPS 2026OmniSelect: Dynamic Modality-Aware Token Compression for Efficient Omni-modal Large Language Models
  14. NeurIPS 2026On Minimizing Regret in Fixed-Confidence $\varepsilon$-Best Arm Identification
  15. NeurIPS 2026Orthros: Phase-Aware Heterogeneous Attention for Efficient Transformers
  16. NeurIPS 2026Overcoming the Resolution Limit: Significance-Aware Regularization for Intersectional Fairness
  17. NeurIPS 2026PACE: Geometry-Aware Bridge Transport for Single-Cell Trajectory Inference
  18. NeurIPS 2026PAIR: Prefix-Aware Internal Reward Model for Multi-Turn Agent Optimization
  19. NeurIPS 2026Partition-Aware Unlearning for Removing Spurious Correlations in Large Vision-Language Models
  20. NeurIPS 2026Pessimistic Latent Task-aware Optimization for Robust Offline Meta-Reinforcement Learning
  21. NeurIPS 2026Polestar: Drift-Aware Cache Calibration and Token Commitment for Efficient Inference of Diffusion LLMs
  22. NeurIPS 2026PolySplat: Workload-Regime-Aware Rasterization for 3D Gaussian Splatting
  23. NeurIPS 2026Position-aware eXplanation: A Model-Agnostic Framework for Positional Attributions
  24. NeurIPS 2026Pref-DetectGPT: Unveiling Machine-Generated Text via Preference-Aware Curvature Measurement
  25. NeurIPS 2026PRISM: Prior Rectification and Uncertainty-Aware Structure Modeling for Diffusion-Based Text Image Super-Resolution
  26. NeurIPS 2026probly: Uncertainty-Aware Machine Learning
  27. NeurIPS 2026Process-Aware LNS for Large-Scale MILP via Context-Enhanced Fine-Tuned LLM-driven Selector
  28. NeurIPS 2026Progress-Aware Distillation for Mitigating Stagnation in Small Language Model Agents
  29. NeurIPS 2026Progressive Memory Transformer: Memory-Aware Attention for Time-Series
  30. NeurIPS 2026ProQuant: Progressive Quantization-aware Training for Edge MLLMs
  31. NeurIPS 2026QuantDemoire: Quantization with Outlier Aware for Image Demoiréing
  32. NeurIPS 2026RADAR: Routing Agents via Difficulty-Aware Recovery
  33. NeurIPS 2026RAMA: Resistance-Aware Multi-Hop Aggregation Graph Representation Learning for Robust Ethereum Account Classification
  34. NeurIPS 2026Readiness-Aware Sample Selection for Noisy Labels with Class Imbalance
  35. NeurIPS 2026Reasoning-Aware IRT: Explainable Evaluation of Test-Time Scaling in Reasoning Models
  36. NeurIPS 2026Recovering Evolving User Preference State via Adaptive Interaction-aware Representation Correction
  37. NeurIPS 2026Redefining Instance Matching: A Unified Framework for Part-Aware Matching in Panoptic Segmentation Evaluation
  38. NeurIPS 2026Relation-Aware Graph Foundation Model
  39. NeurIPS 2026Relative Energy Barriers for Copyright-Aware Language Model Adaptation
  40. NeurIPS 2026Reliability-Coupled Manifold-Aware Diffusion for Missing-Modality Inference
  41. NeurIPS 2026Reliable Federated Multi-View Learning via Conflict-Aware Evidence Calibration
  42. NeurIPS 2026ReSET: Accurate Latency-Critical NVFP4 Reasoning via Step-Aware Temperature Scaling
  43. NeurIPS 2026ResFusion: Medical Image Fusion Driven by Implicit-Forward Diffusion and Time-aware Joint Optimization
  44. NeurIPS 2026Resolution-Aware Structural Density Peak Clustering
  45. NeurIPS 2026Resource-Aware Parameter-Efficient Model Adaptation for Onboard High-Dimensional Data
  46. NeurIPS 2026Rethinking Diffusion Decoding via Structural Commitment
  47. NeurIPS 2026Rethinking in Spikes: Mitigating Hallucinations in MDLMs with Step-Aware Decoding
  48. NeurIPS 2026ReVMap: Vectorized Global Mapping via Connectivity-Aware Local Map Fusion
  49. NeurIPS 2026RigRecon: Efficient Rig-Aware Street Reconstruction via Dual-Path Spatio-Temporal Interaction
  50. NeurIPS 2026Risk-Aware Action Repetition via Expected Skip Evaluation

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。

「效率与系统」下的其他主题