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
- 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。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 21 | 23 | 27 | 102 | 173 |
| 2024 | 69 | 45 | 55 | 94 | 263 |
| 2025 | 120 | 44 | 72 | 87 | 323 |
| 2026 | 263 | 120 | 186 | 196 | 765 |
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 340 篇,第 2 / 7 页
- ICML 2026Efficient Transformer Attention for SNNs via Hadamard Simplification
- ICML 2026Enhancing Affine Maximizer Auctions with Correlation-Aware Payment
- ICML 2026Entropy-aware Span-Constrained Optimal Transport for Robust Cross-Tokenizer Knowledge Distillation
- ICML 2026Expected Returns and Policy Inconsistency-Aware Offline Federated Deep Reinforcement Learning
- ICML 2026FAIR-Calib: Frontier-Aware Instability-Reweighted Calibration for Post-Training Quantization of Diffusion Large Language Models
- ICML 2026Federated Graph Learning via Structure-Aware Fusion Using a Kalman Framework with Learnable Dynamics
- ICML 2026FedQueue: Queue-Aware Federated Learning for Cross-Facility HPC Training
- ICML 2026FlashSinkhorn: IO-Aware Entropic Optimal Transport on GPU
- ICML 2026Forget by Uncertainty: Orthogonal Entropy Unlearning for Quantized Neural Networks
- ICML 2026Forget to Know, Remember to Use: Context-Aware Unlearning for Large Language Models
- ICML 2026Forget-It-All: Multi-Concept Machine Unlearning via Concept-Aware Neuron Masking
- ICML 2026From Guessing to Placeholding: A Cost-Theoretic Framework for Uncertainty-Aware Code Completion
- ICML 2026G-RANS: Generalizable Residual-Aware Neural Solvers for Sparse Systems
- ICML 2026GeoDM: Geometry-aware Distribution Matching for Dataset Distillation
- ICML 2026GeoEvo: Identity-Aware Potential Game with Geometric Evolution for Personalized Multimodal Federated Learning
- ICML 2026Geometry-Aware Decoding with Wasserstein-Regularized Truncation and Mass Penalties for Large Language Models
- ICML 2026Geometry-Aware Probabilistic Circuits via Voronoi Tessellations
- ICML 2026GHOST: Unmasking Phantom States in Mamba2 via Grouped Hidden-state Output-aware Selection & Truncation
- ICML 2026Gradient-Aware Scheduling: Coupling Curriculum and Staleness for Async Reinforcement Learning
- ICML 2026Granularity-Aware Adaptive Classifier Expansion via Zero-Shot Learning
- ICML 2026Grounding Functional Similarity by Invariance-Aware Model Stitching
- ICML 2026H$^2$CL: Heterogeneity-Aware Hypergraph Contrastive Learning for Robust Representation Learning
- ICML 2026HASTE: Hardware-Aware Dynamic Sparse Training for Large Output Spaces
- ICML 2026HelioX: A GPU-Native Framework for Simulation and Training of Biophysically Detailed Networks
- ICML 2026HIAL: Towards Semantics-Aware Hypergraph Active Learning via Dual-Perspective Information Maximization
- ICML 2026HTAC: Hierarchical Task-Aware Composition for Continual Offline Reinforcement Learning
- ICML 2026Hyper-LLaVA: Hyperbolic Uncertainty-aware Modality-Balanced Routing for Multimodal Continual Instruction Tuning
- ICML 2026ImpQuant: Fine-Grained Importance-Aware Quantization for Large Vision-Language Models
- ICML 2026Inconsistency-Aware Minimization: Improving Generalization with Unlabeled Data
- ICML 2026Inference-Aware Meta-Alignment of LLMs via Non-Linear GRPO
- ICML 2026KANFIS: A Neuro-Symbolic Framework for Interpretable and Uncertainty-Aware Learning
- ICML 2026KernelBand: Steering LLM-based Kernel Optimization via Hardware-Aware Multi-Armed Bandits
- ICML 2026KernelFoundry: Hardware-Aware Evolutionary GPU Kernel Optimization
- ICML 2026LangPrecip: Language-Aware Multimodal Precipitation Nowcasting
- ICML 2026LEAP: Zone-Aware MCTS for LLM Self-Speculative Decoding
- ICML 2026Learning Compressed Shape-Aware Molecular Representations for Virtual Screening
- ICML 2026Learning the ESG Geometry with Domain Aware Language Models
- ICML 2026Learning to Bet for Horizon-Aware Anytime-Valid Testing
- ICML 2026Least-Loaded Expert Parallelism: Load Balancing An Imbalanced Mixture-of-Experts
- ICML 2026LLM4Cov: Execution-Aware Agentic Learning for High-coverage Testbench Generation
- ICML 2026LoSA: Locality Aware Sparse Attention in Diffusion Language Models
- ICML 2026Loss-Aware Distributionally Robust Optimization via Trainable Optimal Transport Ambiguity Sets
- ICML 2026MAC-NeRF: Motion-Aware Curriculum Learning for Dynamic LiDAR NeRFs
- ICML 2026MAMBO-G: Magnitude-Aware Mitigation for Boosted Guidance
- ICML 2026MAPS: Memory-Aware Predictive Scheduling Framework for Large Language Model Serving
- ICML 2026Merge to Remember: Sharpness-Aware Isotropic Merging for Continual Learning
- ICML 2026MetaMoE: Diversity-Aware Proxy Selection for Privacy-Preserving Mixture-of-Experts Unification
- ICML 2026MGAL: A Multilingual Granularity-Aware Long-Context Benchmark
- ICML 2026Mind the Gap: Structure-Aware Consistency in Preference Learning
- 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"}
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。