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 15 / 31 页
- NeurIPS 2026Risk-guided Estimation-aware Acceptance for Learning with Synthetic Data
- NeurIPS 2026Robust Task-Aware State Estimation from Pre-trained Perception
- NeurIPS 2026RoPEMover: Depth-Aware Object Relocation via Positional Embeddings
- NeurIPS 2026RSPReg: Reliability-aware Structural Prototype Learning for Point Cloud Registration
- NeurIPS 2026RubiConv - Efficient Boundary-Respecting Convolutions
- NeurIPS 2026SAVE: Sparsity-Aware Influence Estimation for Vocabulary-Expanded LLMs
- NeurIPS 2026ScaleBITS: Scalable Bitwidth Search for Hardware-Aligned Mixed-Precision LLMs
- NeurIPS 2026ScreenSearch: Uncertainty-Aware OS Exploration
- NeurIPS 2026Select Smarter, Not More? Prompt-Aware Evaluation Scheduling with Submodular Guarantees
- NeurIPS 2026SemanticDialect: Semantic-Aware Mixed-Format Quantization for Video Diffusion Transformers
- NeurIPS 2026Sharpness-Aware Hybrid Model Learning for Architecture-Agnostic Parameter Estimation
- NeurIPS 2026Single-Pass Evidence Measurement for Interpretable and Uncertainty-Aware Multimodal Face Anti-Spoofing
- NeurIPS 2026sMMC-22M: A Context-Aware Dataset and Benchmark for Single-Cell Spatial Transcriptomics
- NeurIPS 2026SnapMLA: Efficient Long-Context MLA Decoding via Hardware-Aware FP8 Quantized Pipelining
- NeurIPS 2026SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits
- NeurIPS 2026SOLAR: AI-Powered Speed-of-Light Performance Analysis
- NeurIPS 2026Solver-Aware Decompositions for Programming-by-Example: When Dividing Requires Knowing how to Conquer
- NeurIPS 2026SP-CACW: Convergence-Aware Client Weighting for Selfish Personalized Learning
- NeurIPS 2026SpectralKV: Redundancy-Aware KV Cache Compression via Spectral Coreset Selection
- NeurIPS 2026SpRePE: A Spherical Geometry-Aware Position Embedding scheme for Vision Transformers
- NeurIPS 2026SRL-MPC: Shape-Aware Reinforcement Learned Model Predictive Control
- NeurIPS 2026Stability-Aware Self-Training for CLIP under Cross-Modal Anchoring Mismatch
- NeurIPS 2026Stage-Aware Dual Alignment for Covariate Shift in Graph Domain Adaptation
- NeurIPS 2026STAR: Boosting Time Series Foundation Models for Anomaly Detection Through State-Aware Adapter
- NeurIPS 2026STParOpt: An End-to-End Framework for Execution-Aware Parallelism Inference and Optimized CUDA Migration
- NeurIPS 2026StyleRoute: Diffusion Style Transfer via Regional Routing and Conflict-aware Projection
- NeurIPS 2026TagBO: LLM-Driven Task-Aware Graph Bayesian Optimization for Scientific Discovery
- NeurIPS 2026Tail-Risk-Aware Stackelberg Learning
- NeurIPS 2026TanGCE: Manifold-Aware Concept Erasure
- NeurIPS 2026TAPIOCA: Why Task- Aware Pruning Improves OOD model Capability
- NeurIPS 2026Target-Aware Nuisance Shaping for Object Detection
- NeurIPS 2026Task-Aware KV Cache Compression for LLM Agents via Utility-Driven Step Pruning
- NeurIPS 2026The Quantization Benefits of Residual-Free Transformers
- NeurIPS 2026The Quiet Prompt: Erasing Ineffable Styles from Diffusion Models via Concept Leakage-aware Negative Guidance
- NeurIPS 2026The Sparsity Whisperer
- NeurIPS 2026TIDE: Trajectory-Aware Watermark Propagation for Text-to-Image Diffusion Models
- NeurIPS 2026Tight Gap-Dependent Regret Bounds and Problem-Independent Bounds for Cost-aware Cascading Bandits
- NeurIPS 2026Topic-Aware Contextual Cascading Bandits
- NeurIPS 2026Topology-Aware Representation Alignment for Semi-Supervised Vision-Language Learning
- NeurIPS 2026Towards Better Generalization in Lifelong Person Re-Identification with Flatness-Aware Learning
- NeurIPS 2026Towards Real-Time Full-Waveform LiDAR Transformers via Intensity-Guided Token Reduction and Physics-Aware Augmentation
- NeurIPS 2026Towards Reliable VLM Judges: State-Conditional Invariance and Presentation-Aware Diagnostics
- NeurIPS 2026Towards Scalable Context-Aware Single-Cell Spatial Transcriptomics Prediction from Histology Images
- NeurIPS 2026TRACE: Structure-Aware Character Encoding for Robust and Generalizable Document Watermarking
- NeurIPS 2026TRACE: Trajectory-Aware Conceps for Explainable Video Understanding
- NeurIPS 2026Trie-Aware Transformers for Generative Recommendation
- NeurIPS 2026TwinPrune: Density-Aware Two-Phase Token Pruning for Vision-Language Models
- NeurIPS 2026Two Drifts, One Principle: Conflict-Aware Spectral Consolidation for Multimodal Continual Learning
- NeurIPS 2026UECO: A Unified Encoder with Structure-Aware Attention Mixture via Iterative Edge Evolving for Neural Combinatorial Optimization
- NeurIPS 2026Uncertainty-Aware Fuzzy Graph Contrastive Learning
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。