硬件协同论文趋势 2023–2026

主要结论

• 硬件协同论文从 2023 年的 173 篇增长到 2026 年的 765 篇，三年间扩大到约 4.4 倍。
• CVPR 是发硬件协同论文最多的会议，2023–2026 年共 479 篇，占四个会议总量的 31%。
• 交叉方向里涨得最快的是扩散模型：同时属于两个主题的论文从 2023 年的 4 篇增至 2026 年的 58 篇。
• 在「效率与系统」的 5 个主题里，它的 2026 年论文数排第 2；同组增长最快的数据集与基准是 2.1 倍，硬件协同是 4.4 倍。

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

• NeurIPS 2026AcceleGrad#: Adaptive Geometry-Aware Acceleration
• ICML 2026A Geometry-Aware Efficient Algorithm for Compositional Entropic Risk Minimization
• ICLR 2026Confident Block Diagonal Structure-Aware Invariable Graph Completion for Incomplete Multi-view Clustering
• CVPR 2026ActAvatar Temporally-Aware Precise Action Control for Talking Avatars
• NeurIPS 2025AcuRank: Uncertainty-Aware Adaptive Computation for Listwise Reranking
• ICML 2025CABS: Conflict-Aware and Balanced Sparsification for Enhancing Model Merging
• ICLR 2025FlashRNN: I/O-Aware Optimization of Traditional RNNs on modern hardware
• CVPR 2025A Distractor-Aware Memory for Visual Object Tracking with SAM2
• NeurIPS 2024HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Models
• ICML 2024A Universal Class of Sharpness-Aware Minimization Algorithms
• ICLR 2024Domain-Inspired Sharpness-Aware Minimization Under Domain Shifts
• CVPR 2024Distribution-aware Knowledge Prototyping for Non-exemplar Lifelong Person Re-identification
• NeurIPS 2023Affinity-Aware Graph Networks
• ICML 2023A Three-regime Model of Network Pruning
• ICLR 2023$\rm A^2Q$: Aggregation-Aware Quantization for Graph Neural Networks
• CVPR 20233D-Aware Face Swapping
• NeurIPS 2026Accelerating Rectified Flow Models via Trajectory-Aware Caching
• ICML 2026Attention Sink Forges Native MoE in Attention Layers: Sink-Aware Training to Address Head Collapse
• ICLR 2026Distribution-Aware Multi-Granularity Phase Coding: Towards Lower Conversion Error for Spike-Driven Large Language Models
• CVPR 2026BD-Merging Bias-Aware Dynamic Model Merging with Evidence-Guided Contrastive Learning

全部硬件协同论文

共 55 篇，第 1 / 2 页

1. ICML 2024A Universal Class of Sharpness-Aware Minimization Algorithms
2. ICML 2024A2Q+: Improving Accumulator-Aware Weight Quantization
3. ICML 2024ACE: Off-Policy Actor-Critic with Causality-Aware Entropy Regularization
4. ICML 2024Ambiguity-Aware Abductive Learning
5. ICML 2024AttnLRP: Attention-Aware Layer-Wise Relevance Propagation for Transformers
6. ICML 2024Balancing Feature Similarity and Label Variability for Optimal Size-Aware One-shot Subset Selection
7. ICML 2024Beyond the Federation: Topology-aware Federated Learning for Generalization to Unseen Clients
8. ICML 2024Category-Aware Active Domain Adaptation
9. ICML 2024Causal Action Influence Aware Counterfactual Data Augmentation
10. ICML 2024Cluster-Aware Similarity Diffusion for Instance Retrieval
11. ICML 2024Confidence Aware Inverse Constrained Reinforcement Learning
12. ICML 2024Confidence-aware Contrastive Learning for Selective Classification
13. ICML 2024Ditto: Quantization-aware Secure Inference of Transformers upon MPC
14. ICML 2024Drug Discovery with Dynamic Goal-aware Fragments
15. ICML 2024DsDm: Model-Aware Dataset Selection with Datamodels
16. ICML 2024Efficient Precision and Recall Metrics for Assessing Generative Models using Hubness-aware Sampling
17. ICML 2024Evaluation of LLMs on Syntax-Aware Code Fill-in-the-Middle Tasks
18. ICML 2024Explaining Graph Neural Networks via Structure-aware Interaction Index
19. ICML 2024Fast Peer Adaptation with Context-aware Exploration
20. ICML 2024Gated Linear Attention Transformers with Hardware-Efficient Training
21. ICML 2024Geometry-Aware Instrumental Variable Regression
22. ICML 2024Hierarchical Neural Operator Transformer with Learnable Frequency-aware Loss Prior for Arbitrary-scale Super-resolution
23. ICML 2024Improving Sharpness-Aware Minimization by Lookahead
24. ICML 2024Integrated Hardware Architecture and Device Placement Search
25. ICML 2024Knowledge-aware Reinforced Language Models for Protein Directed Evolution
26. ICML 2024Layer-Aware Analysis of Catastrophic Overfitting: Revealing the Pseudo-Robust Shortcut Dependency
27. ICML 2024Learning Scale-Aware Spatio-temporal Implicit Representation for Event-based Motion Deblurring
28. ICML 2024Learning Solution-Aware Transformers for Efficiently Solving Quadratic Assignment Problem
29. ICML 2024Learning to Predict Mutational Effects of Protein-Protein Interactions by Microenvironment-aware Hierarchical Prompt Learning
30. ICML 2024Locally Estimated Global Perturbations are Better than Local Perturbations for Federated Sharpness-aware Minimization
31. ICML 2024Lookbehind-SAM: k steps back, 1 step forward
32. ICML 2024MagicPose: Realistic Human Poses and Facial Expressions Retargeting with Identity-aware Diffusion
33. ICML 2024MS-TIP: Imputation Aware Pedestrian Trajectory Prediction
34. ICML 2024Noise-Aware Algorithm for Heterogeneous Differentially Private Federated Learning
35. ICML 2024On the Duality Between Sharpness-Aware Minimization and Adversarial Training
36. ICML 2024On The Fairness Impacts of Hardware Selection in Machine Learning
37. ICML 2024On the Maximal Local Disparity of Fairness-Aware Classifiers
38. ICML 2024Outlier-aware Slicing for Post-Training Quantization in Vision Transformer
39. ICML 2024PANDA: Expanded Width-Aware Message Passing Beyond Rewiring
40. ICML 2024PAPM: A Physics-aware Proxy Model for Process Systems
41. ICML 2024Privately Learning Smooth Distributions on the Hypercube by Projections
42. ICML 2024QUEST: Query-Aware Sparsity for Efficient Long-Context LLM Inference
43. ICML 2024Reshape and Adapt for Output Quantization (RAOQ): Quantization-aware Training for In-memory Computing Systems
44. ICML 2024Risk Aware Benchmarking of Large Language Models
45. ICML 2024SAMformer: Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention
46. ICML 2024Short-Long Convolutions Help Hardware-Efficient Linear Attention to Focus on Long Sequences
47. ICML 2024Split-Ensemble: Efficient OOD-aware Ensemble via Task and Model Splitting
48. ICML 2024Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks
49. ICML 2024Task-aware Orthogonal Sparse Network for Exploring Shared Knowledge in Continual Learning
50. ICML 2024TimeMIL: Advancing Multivariate Time Series Classification via a Time-aware Multiple Instance Learning

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。