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 3 / 5 页

  1. ICLR 2026Splat and Distill: Augmenting Teachers with Feed-Forward 3D Reconstruction For 3D-Aware Distillation
  2. ICLR 2026Steering Evaluation-Aware Language Models To Act Like They Are Deployed
  3. ICLR 2026Symmetry-Aware Bayesian Optimization via Max Kernels
  4. ICLR 2026Task-Aware Data Selection via Proxy-Label Enhanced Distribution Matching for LLM Finetuning
  5. ICLR 2026TESSAR: Geometry-Aware Active Regression via Dynamic Voronoi Tessellation
  6. ICLR 2026Texture Vector-Quantization and Reconstruction Aware Prediction for Generative Super-Resolution
  7. ICLR 2026TileLang: Bridge Programmability and Performance in Modern Neural Kernels
  8. ICLR 2026TINY BUT MIGHTY: A SOFTWARE-HARDWARE CO- DESIGN APPROACH FOR EFFICIENT MULTIMODAL IN- FERENCE ON BATTERY-POWERED SMALL DEVICES
  9. ICLR 2026Token Distillation: Attention-Aware Input Embeddings for New Tokens
  10. ICLR 2026TokenSeek: Memory Efficient Fine Tuning via Instance-Aware Token Ditching
  11. ICLR 2026ToProVAR: Efficient Visual Autoregressive Modeling via Tri-Dimensional Entropy-Aware Semantic Analysis and Sparsity Optimization
  12. ICLR 2026Towards Anomaly-Aware Pre-Training and Fine-Tuning for Graph Anomaly Detection
  13. ICLR 2026Towards Understanding The Calibration Benefits of Sharpness-Aware Minimization
  14. ICLR 2026Tug-of-War No More: Harmonizing Accuracy and Robustness in Vision-Language Models via Stability-Aware Task Vector Merging
  15. ICLR 2026TurboBoA: Faster and Exact Attention-aware Quantization without Backpropagation
  16. ICLR 2026Uncertainty-Aware 3D Reconstruction for Dynamic Underwater Scenes
  17. ICLR 2026Uncertainty-Aware Diagnostics for Physics-Informed Machine Learning
  18. ICLR 2026Uncertainty-driven Embedding Convolution
  19. ICLR 2026Unsupervised Representation Learning for 3D Mesh Parameterization with Semantic and Visibility Objectives
  20. ICLR 2026WATS: Wavelet-Aware Temperature Scaling for Reliable Graph Neural Networks
  21. ICLR 20256DGS: Enhanced Direction-Aware Gaussian Splatting for Volumetric Rendering
  22. ICLR 2025A Distributional Approach to Uncertainty-Aware Preference Alignment Using Offline Demonstrations
  23. ICLR 2025Better autoregressive regression with LLMs via regression-aware fine-tuning
  24. ICLR 2025CAMEx: Curvature-aware Merging of Experts
  25. ICLR 2025CATCH: Channel-Aware Multivariate Time Series Anomaly Detection via Frequency Patching
  26. ICLR 2025CAX: Cellular Automata Accelerated in JAX
  27. ICLR 2025Curriculum-aware Training for Discriminating Molecular Property Prediction Models
  28. ICLR 2025Decision Tree Induction Through LLMs via Semantically-Aware Evolution
  29. ICLR 2025DGQ: Distribution-Aware Group Quantization for Text-to-Image Diffusion Models
  30. ICLR 2025Easing Training Process of Rectified Flow Models Via Lengthening Inter-Path Distance
  31. ICLR 2025FlashRNN: I/O-Aware Optimization of Traditional RNNs on modern hardware
  32. ICLR 2025GaussianBlock: Building Part-Aware Compositional and Editable 3D Scene by Primitives and Gaussians
  33. ICLR 2025Geometry-Aware Approaches for Balancing Performance and Theoretical Guarantees in Linear Bandits
  34. ICLR 2025Geometry-aware RL for Manipulation of Varying Shapes and Deformable Objects
  35. ICLR 2025Going Beyond Feature Similarity: Effective Dataset distillation based on Class-aware Conditional Mutual Information
  36. ICLR 2025Inference-Aware Fine-Tuning for Best-of-N Sampling in Large Language Models
  37. ICLR 2025KooNPro: A Variance-Aware Koopman Probabilistic Model Enhanced by Neural Process for Time Series Forecasting
  38. ICLR 2025LeanQuant: Accurate and Scalable Large Language Model Quantization with Loss-error-aware Grid
  39. ICLR 2025MaxCutPool: differentiable feature-aware Maxcut for pooling in graph neural networks
  40. ICLR 2025Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning
  41. ICLR 2025Multiplicative Logit Adjustment Approximates Neural-Collapse-Aware Decision Boundary Adjustment
  42. ICLR 2025NExUME: Adaptive Training and Inference for DNNs under Intermittent Power Environments
  43. ICLR 2025OATS: Outlier-Aware Pruning Through Sparse and Low Rank Decomposition
  44. ICLR 2025OCCAM: Towards Cost-Efficient and Accuracy-Aware Classification Inference
  45. ICLR 2025PolaFormer: Polarity-aware Linear Attention for Vision Transformers
  46. ICLR 2025Privacy-Aware Lifelong Learning
  47. ICLR 2025Ranking-aware adapter for text-driven image ordering with CLIP
  48. ICLR 2025Relation-Aware Diffusion for Heterogeneous Graphs with Partially Observed Features
  49. ICLR 2025Rethinking the generalization of drug target affinity prediction algorithms via similarity aware evaluation
  50. ICLR 2025SaMer: A Scenario-aware Multi-dimensional Evaluator for Large Language Models

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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