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 340 篇,第 2 / 7 页

  1. ICML 2026Efficient Transformer Attention for SNNs via Hadamard Simplification
  2. ICML 2026Enhancing Affine Maximizer Auctions with Correlation-Aware Payment
  3. ICML 2026Entropy-aware Span-Constrained Optimal Transport for Robust Cross-Tokenizer Knowledge Distillation
  4. ICML 2026Expected Returns and Policy Inconsistency-Aware Offline Federated Deep Reinforcement Learning
  5. ICML 2026FAIR-Calib: Frontier-Aware Instability-Reweighted Calibration for Post-Training Quantization of Diffusion Large Language Models
  6. ICML 2026Federated Graph Learning via Structure-Aware Fusion Using a Kalman Framework with Learnable Dynamics
  7. ICML 2026FedQueue: Queue-Aware Federated Learning for Cross-Facility HPC Training
  8. ICML 2026FlashSinkhorn: IO-Aware Entropic Optimal Transport on GPU
  9. ICML 2026Forget by Uncertainty: Orthogonal Entropy Unlearning for Quantized Neural Networks
  10. ICML 2026Forget to Know, Remember to Use: Context-Aware Unlearning for Large Language Models
  11. ICML 2026Forget-It-All: Multi-Concept Machine Unlearning via Concept-Aware Neuron Masking
  12. ICML 2026From Guessing to Placeholding: A Cost-Theoretic Framework for Uncertainty-Aware Code Completion
  13. ICML 2026G-RANS: Generalizable Residual-Aware Neural Solvers for Sparse Systems
  14. ICML 2026GeoDM: Geometry-aware Distribution Matching for Dataset Distillation
  15. ICML 2026GeoEvo: Identity-Aware Potential Game with Geometric Evolution for Personalized Multimodal Federated Learning
  16. ICML 2026Geometry-Aware Decoding with Wasserstein-Regularized Truncation and Mass Penalties for Large Language Models
  17. ICML 2026Geometry-Aware Probabilistic Circuits via Voronoi Tessellations
  18. ICML 2026GHOST: Unmasking Phantom States in Mamba2 via Grouped Hidden-state Output-aware Selection & Truncation
  19. ICML 2026Gradient-Aware Scheduling: Coupling Curriculum and Staleness for Async Reinforcement Learning
  20. ICML 2026Granularity-Aware Adaptive Classifier Expansion via Zero-Shot Learning
  21. ICML 2026Grounding Functional Similarity by Invariance-Aware Model Stitching
  22. ICML 2026H$^2$CL: Heterogeneity-Aware Hypergraph Contrastive Learning for Robust Representation Learning
  23. ICML 2026HASTE: Hardware-Aware Dynamic Sparse Training for Large Output Spaces
  24. ICML 2026HelioX: A GPU-Native Framework for Simulation and Training of Biophysically Detailed Networks
  25. ICML 2026HIAL: Towards Semantics-Aware Hypergraph Active Learning via Dual-Perspective Information Maximization
  26. ICML 2026HTAC: Hierarchical Task-Aware Composition for Continual Offline Reinforcement Learning
  27. ICML 2026Hyper-LLaVA: Hyperbolic Uncertainty-aware Modality-Balanced Routing for Multimodal Continual Instruction Tuning
  28. ICML 2026ImpQuant: Fine-Grained Importance-Aware Quantization for Large Vision-Language Models
  29. ICML 2026Inconsistency-Aware Minimization: Improving Generalization with Unlabeled Data
  30. ICML 2026Inference-Aware Meta-Alignment of LLMs via Non-Linear GRPO
  31. ICML 2026KANFIS: A Neuro-Symbolic Framework for Interpretable and Uncertainty-Aware Learning
  32. ICML 2026KernelBand: Steering LLM-based Kernel Optimization via Hardware-Aware Multi-Armed Bandits
  33. ICML 2026KernelFoundry: Hardware-Aware Evolutionary GPU Kernel Optimization
  34. ICML 2026LangPrecip: Language-Aware Multimodal Precipitation Nowcasting
  35. ICML 2026LEAP: Zone-Aware MCTS for LLM Self-Speculative Decoding
  36. ICML 2026Learning Compressed Shape-Aware Molecular Representations for Virtual Screening
  37. ICML 2026Learning the ESG Geometry with Domain Aware Language Models
  38. ICML 2026Learning to Bet for Horizon-Aware Anytime-Valid Testing
  39. ICML 2026Least-Loaded Expert Parallelism: Load Balancing An Imbalanced Mixture-of-Experts
  40. ICML 2026LLM4Cov: Execution-Aware Agentic Learning for High-coverage Testbench Generation
  41. ICML 2026LoSA: Locality Aware Sparse Attention in Diffusion Language Models
  42. ICML 2026Loss-Aware Distributionally Robust Optimization via Trainable Optimal Transport Ambiguity Sets
  43. ICML 2026MAC-NeRF: Motion-Aware Curriculum Learning for Dynamic LiDAR NeRFs
  44. ICML 2026MAMBO-G: Magnitude-Aware Mitigation for Boosted Guidance
  45. ICML 2026MAPS: Memory-Aware Predictive Scheduling Framework for Large Language Model Serving
  46. ICML 2026Merge to Remember: Sharpness-Aware Isotropic Merging for Continual Learning
  47. ICML 2026MetaMoE: Diversity-Aware Proxy Selection for Privacy-Preserving Mixture-of-Experts Unification
  48. ICML 2026MGAL: A Multilingual Granularity-Aware Long-Context Benchmark
  49. ICML 2026Mind the Gap: Structure-Aware Consistency in Preference Learning
  50. ICML 2026Mind the State: Towards Unified, Context-Aware EEG-to-fMRI Synthesis

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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