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 44 篇,第 1 / 1 页
- ICLR 20256DGS: Enhanced Direction-Aware Gaussian Splatting for Volumetric Rendering
- ICLR 2025A Distributional Approach to Uncertainty-Aware Preference Alignment Using Offline Demonstrations
- ICLR 2025Better autoregressive regression with LLMs via regression-aware fine-tuning
- ICLR 2025CAMEx: Curvature-aware Merging of Experts
- ICLR 2025CATCH: Channel-Aware Multivariate Time Series Anomaly Detection via Frequency Patching
- ICLR 2025CAX: Cellular Automata Accelerated in JAX
- ICLR 2025Curriculum-aware Training for Discriminating Molecular Property Prediction Models
- ICLR 2025Decision Tree Induction Through LLMs via Semantically-Aware Evolution
- ICLR 2025DGQ: Distribution-Aware Group Quantization for Text-to-Image Diffusion Models
- ICLR 2025Easing Training Process of Rectified Flow Models Via Lengthening Inter-Path Distance
- ICLR 2025FlashRNN: I/O-Aware Optimization of Traditional RNNs on modern hardware
- ICLR 2025GaussianBlock: Building Part-Aware Compositional and Editable 3D Scene by Primitives and Gaussians
- ICLR 2025Geometry-Aware Approaches for Balancing Performance and Theoretical Guarantees in Linear Bandits
- ICLR 2025Geometry-aware RL for Manipulation of Varying Shapes and Deformable Objects
- ICLR 2025Going Beyond Feature Similarity: Effective Dataset distillation based on Class-aware Conditional Mutual Information
- ICLR 2025Inference-Aware Fine-Tuning for Best-of-N Sampling in Large Language Models
- ICLR 2025KooNPro: A Variance-Aware Koopman Probabilistic Model Enhanced by Neural Process for Time Series Forecasting
- ICLR 2025LeanQuant: Accurate and Scalable Large Language Model Quantization with Loss-error-aware Grid
- ICLR 2025MaxCutPool: differentiable feature-aware Maxcut for pooling in graph neural networks
- ICLR 2025Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning
- ICLR 2025Multiplicative Logit Adjustment Approximates Neural-Collapse-Aware Decision Boundary Adjustment
- ICLR 2025NExUME: Adaptive Training and Inference for DNNs under Intermittent Power Environments
- ICLR 2025OATS: Outlier-Aware Pruning Through Sparse and Low Rank Decomposition
- ICLR 2025OCCAM: Towards Cost-Efficient and Accuracy-Aware Classification Inference
- ICLR 2025PolaFormer: Polarity-aware Linear Attention for Vision Transformers
- ICLR 2025Privacy-Aware Lifelong Learning
- ICLR 2025Ranking-aware adapter for text-driven image ordering with CLIP
- ICLR 2025Relation-Aware Diffusion for Heterogeneous Graphs with Partially Observed Features
- ICLR 2025Rethinking the generalization of drug target affinity prediction algorithms via similarity aware evaluation
- ICLR 2025SaMer: A Scenario-aware Multi-dimensional Evaluator for Large Language Models
- ICLR 2025Scale-aware Recognition in Satellite Images under Resource Constraints
- ICLR 2025Second Order Bounds for Contextual Bandits with Function Approximation
- ICLR 2025Semantic Aware Representation Learning for Lifelong Learning
- ICLR 2025Sharpness-Aware Minimization Efficiently Selects Flatter Minima Late In Training
- ICLR 2025SPAM: Spike-Aware Adam with Momentum Reset for Stable LLM Training
- ICLR 2025Spatial-Mamba: Effective Visual State Space Models via Structure-Aware State Fusion
- ICLR 2025Stochastic Semi-Gradient Descent for Learning Mean Field Games with Population-Aware Function Approximation
- ICLR 2025Subtask-Aware Visual Reward Learning from Segmented Demonstrations
- ICLR 2025SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression
- ICLR 2025SynQ: Accurate Zero-shot Quantization by Synthesis-aware Fine-tuning
- ICLR 2025TD-Paint: Faster Diffusion Inpainting Through Time-Aware Pixel Conditioning
- ICLR 2025TopoDiffusionNet: A Topology-aware Diffusion Model
- ICLR 2025Uncertainty-Aware Decoding with Minimum Bayes Risk
- ICLR 2025Utility-Directed Conformal Prediction: A Decision-Aware Framework for Actionable Uncertainty Quantification
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。