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 473 篇,第 2 / 10 页
- NeurIPS 2026Contribution-Aware Structured Sparsity for Model Merging
- NeurIPS 2026CoQuant: Covariance-Aware Rotation for 2-bit KV Cache Quantization
- NeurIPS 2026CORAL: A Benchmark for Structure-aware and Brain-wide Neuron Reconstruction in Light Microscopy
- NeurIPS 2026Correlation-Aware Contextual Bandits with Surrogate Rewards for LLM Routing
- NeurIPS 2026Cost-Aware Learning
- NeurIPS 2026CurveRL: Principled Distribution-Aware Context Reweighting for LLM Reasoning
- NeurIPS 2026D-PACE: Dynamic Position-Aware Cross-Entropy for Parallel Speculative Drafting
- NeurIPS 2026DACA-GRPO: Denoising-Aware Credit Assignment for Reinforcement Learning in Diffusion Language Models
- NeurIPS 2026DAPS: Dependency-Aware Premise Selection for LLM Theorem Proving
- NeurIPS 2026DARPAN: Controllability-Aware Residual Filtering for Pretrained Physical Control
- NeurIPS 2026DAWN: Dependency-Aware Fast Inference for Diffusion LLMs
- NeurIPS 2026Decision-Aware Proximal Bridge Learning for Optimal Treatment Selection
- NeurIPS 2026DegradeQuery: Counterfactual Tuple Pretraining for Context-Aware PROTAC Degradation Prediction
- NeurIPS 2026Dexterous Skill Discovery via Topology-Aware Wasserstein Dependency
- NeurIPS 2026DGRAF: Observation-Quality-Aware Reinforcement Learning for Dynamic Reconfigurable Batteries
- NeurIPS 2026Diff3R: Feed-forward 3D Gaussian Splatting with Uncertainty Aware Differentiable Optimization
- NeurIPS 2026DiffCool: Label-Free Synthesis of Chip-Tailored Heat Sinks via Thermal-Aware Diffusion
- NeurIPS 2026DiM$^3$: Bridging Multilingual and Multimodal Models via Direction- and Magnitude-Aware Merging
- NeurIPS 2026Direction-Aware Offline-to-Online Learning in Linear Contextual Bandits
- NeurIPS 2026Disentangling Channel Semantics in Vision Transformers via Token Decorrelation and Composition-Aware Modulation
- NeurIPS 2026Distilling What Matters: Confidence-Aware Selective Distillation for Large Language Models
- NeurIPS 2026DRIVE: Fine-tuning via Data Contribution- and Diversity-aware Weighting with Prior Regularization
- NeurIPS 2026DriveFuture: Future-Aware Latent World Models for Autonomous Driving
- NeurIPS 2026Driver Attention as Competitive Allocation: A Scene--Task-Aware Dual-Branch Framework
- NeurIPS 2026DTA-GT: Direction- and Topology-Aware Graph Transformer for Neural Network Representation Learning
- NeurIPS 2026Dynamic Convolutions Improve Transformers
- NeurIPS 2026EAT: Eviction-Aware Training for Long-Context LLM Inference on Edge Devices
- NeurIPS 2026Editing Large Language Models with Geometry-Aware Regularization
- NeurIPS 2026EENAS: Zero-Shot Energy-Efficiency-Aware Neural Architecture Search
- NeurIPS 2026Efficient Gradient-Aware Asynchronous Reinforcement Learning for LLM Post-Training
- NeurIPS 2026EfficientRollout: System-Aware Self-Speculative Decoding for RL Rollouts
- NeurIPS 2026Embedded-Arena: Building Hardware-in-the-Loop Coding Agents to Run AI on Microcontrollers
- NeurIPS 2026EpiStream: Utility-Aware Temporal Abstraction for Dense-Action Streams
- NeurIPS 2026EvoInspect: A Unified Self-Evolving Multi-Agent Framework for Industrial Hardware Inspection
- NeurIPS 2026Extending ROC Analysis to Uncertainty-Aware Risk Prediction with an Interval-Based AUC (iAUC)
- NeurIPS 2026ExtraVAR: Stage-Aware RoPE Remapping for Resolution Extrapolation in Visual Autoregressive Models
- NeurIPS 2026Extremely Sparse-View Computed Tomography from 2D Projections via Pose-Aware Diffusion Priors
- NeurIPS 2026F2G-Pose: Geometry-Aware Foundation Feature Lifting for Direct RGB-D Category-Level Object Pose Estimation
- NeurIPS 2026Face Deepfake-aware Recovery via Semantic-driven Facial Representation-based Watermarking
- NeurIPS 2026FASD: Hardware Acceleration for Multi-AI-Agent Discussion
- NeurIPS 2026FedProG: Federated Graph Learning via Server-Side LLM Semantic Bridging and Uncertainty-Aware Distillation
- NeurIPS 2026FlashFFN: Multi-Head Decomposition Enables I/O-Aware Feed-Forward Network
- NeurIPS 2026FlashMask-3: Efficient and Expressive Mask-Aware Distributed Attention
- NeurIPS 2026Flux Attention: Context-Aware Hybrid Attention for Efficient LLMs Inference
- NeurIPS 2026FLUX: Geometry-Aware Longitudinal Flow Matching with Mixture of Experts
- NeurIPS 2026FOGO: Forgetting-aware Orthogonalization Optimizer
- NeurIPS 2026ForceLDM: A Force-aware Latent Dynamics Model for Contact-Rich Manipulation
- NeurIPS 2026From Sample to Subset Construction: Coverage-Aware Curation of Robot Demonstrations
- NeurIPS 2026GeneZip: Region-Aware Compression for Long Context DNA Modeling
- NeurIPS 2026Geometry-Aware Directional Alignment for Coherent Model Merging
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。