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 1,524 篇,第 13 / 31 页
- NeurIPS 2026GeneZip: Region-Aware Compression for Long Context DNA Modeling
- NeurIPS 2026Geometry-Aware Directional Alignment for Coherent Model Merging
- NeurIPS 2026Geometry-Aware Online Scheduling for LLM Serving: From Theoretical Bound to System Practice
- NeurIPS 2026Geometry-Aware Optimal Transport: Fast Intrinsic Dimension and Wasserstein Distance Estimation
- NeurIPS 2026Geometry-Aware Post-Hoc Uncertainty Quantification in Operator Learning
- NeurIPS 2026Geometry-Aware Representation Denoising for Multi-view Image Restoration and 3D Reconstruction
- NeurIPS 2026Geometry-Aware Score-Repellent Monte Carlo
- NeurIPS 2026Geometry-Aware Self-Supervised Electrophysiology Representation Learning
- NeurIPS 2026Geometry-Aware Similarity Metrics for Neural Representations on Riemannian and Statistical Manifolds
- NeurIPS 2026Geometry-Aware Zeroth-Order Optimization for Fine-Tuning Quantized LLMs
- NeurIPS 2026GeoSPRINT: Geometric Redundancy-Aware Step Pruning for Inference in Diffusion Trajectories
- NeurIPS 2026GeoTransolver: Learning Physics on Irregular Domains using Multi-scale Geometry Aware Physics Attention Transformer
- NeurIPS 2026GOLD: Geometric Optimized Latent Diffusion for Structure-Aware RNA Inverse Folding
- NeurIPS 2026Graph Cascades: Contagion-Based Mesoscopic Rewiring for Structure-Aware Graph Machine Learning
- NeurIPS 2026Graph-Enhanced Attribute-Aware Modeling for Cloth-Changing Person Re-Identification
- NeurIPS 2026GRAPHLCP: Structure-Aware Localized Conformal Prediction on Graphs
- NeurIPS 2026H2G: Hierarchy-Aware Hyperbolic Grouping for 3D Scenes
- NeurIPS 2026HALO-VGGT: Heterogeneity-Aware Lightweight Online Compression Allocator for Efficient VGGT
- NeurIPS 2026Hawkeye: Hardware-Aware GPU Kernel Optimization with Minimal Supervision
- NeurIPS 2026HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning
- NeurIPS 2026HESTIA: A Hessian-Guided Differentiable Quantization-Aware Training Framework for Extremely Low-Bit LLMs
- NeurIPS 2026Heterogeneity-aware Distillation for Federated Continual Learning
- NeurIPS 2026Heterogeneous Judge-Aware Ranking with Sensitivity, Disagreement, and Confidence
- NeurIPS 2026History-Aware Conformal Prediction Sets for Censored Time-to-Event Outcomes
- NeurIPS 2026HoTS: Homophily-Aware Temperature Scaling for Graph Neural Network Calibration
- NeurIPS 2026HSCO-Bench: An Agent-Driven End-to-End Hardware-Software Co-design Benchmark for Systems-on-Chip
- NeurIPS 2026Hybrid Neural World Models for Physical Dynamics
- NeurIPS 2026Hydra-DP3: Frequency-Aware Right-Sizing of 3D Diffusion Policies for Visuomotor Control
- NeurIPS 2026HyFAD: Hybrid Time-Frequency Diffusion with Frequency-Aware Embedding for Time Series Imputation
- NeurIPS 2026Hyperbolic Concept Bottleneck Models
- NeurIPS 2026Improved Sample Complexity for Markov Games via Variance-Aware Bandit Learning
- NeurIPS 2026IMTS-Tokenizer: Time-Aware Tokenization for Irregular Multivariate Time Series Forecasting
- NeurIPS 2026In-Context Learning for Remote Sensing Vision: A Semantic-Aware Rotation-Robust Diffusion Framework
- NeurIPS 2026InfoSFT: Learn More and Forget Less with Information-Aware Token Weighting
- NeurIPS 2026Inner Product Aware Quantization: Provably Fast, Accurate, and Adaptive Algorithms
- NeurIPS 2026InQuant: In-Place Mixed-Precision KV Cache Quantization via Saliency-Aware Neighbor-Slot Reuse
- NeurIPS 2026Integrating Strengths of Different Multi-Agent Workflows via Step-Aware Hybrid Topology Planning
- NeurIPS 2026Is Agentic AI Ready for Real-World Hardware Engineering? A Deep Dive with Phoenix-bench
- NeurIPS 2026LEGO: Sizing Rules for Budget-Aware Dense-to-MoE Conversion of Vision-Language Models
- NeurIPS 2026Less Evidence, Better Answering: Gain-Aware Minimal Evidence Subset Selection for Medical QA
- NeurIPS 2026Localized Dynamics-Aware Domain Adaption for Off-Dynamics Offline Reinforcement Learning
- NeurIPS 2026LOCO: Local Light-Aware Object Compositing with Spatially Varying Illumination-Augmented Data
- NeurIPS 2026LOFT: Low-Rank Orthogonal Fine-Tuning via Task-Aware Support Selection
- NeurIPS 2026LongScape: Advancing Long-Horizon Embodied World Models with Context-Aware MoE
- NeurIPS 2026MAdam: Metric-Aware Multi-Objective Adam
- NeurIPS 2026Majority Bit-Aware Watermarking for Large Language Models
- NeurIPS 2026Matrix Recovery Via Symmetric Rank-one Measurements With Random Unit-modulus Vectors
- NeurIPS 2026Mental Health AI Must Move Beyond Diagnostic Prediction and Chat-Based Support: Toward Perspective-Aware, Multisensory Co-Experience
- NeurIPS 2026META-PAP: Meta-learning for Prompt-aware Preference Pairing in LLM Alignment
- NeurIPS 2026Minimizing Modality Gap from the Input Side: Your Speech LLM Can Be a Prosody-Aware Text LLM
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。