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 7 / 31 页
- ICLR 2026TESSAR: Geometry-Aware Active Regression via Dynamic Voronoi Tessellation
- ICLR 2026Texture Vector-Quantization and Reconstruction Aware Prediction for Generative Super-Resolution
- ICLR 2026TileLang: Bridge Programmability and Performance in Modern Neural Kernels
- ICLR 2026TINY BUT MIGHTY: A SOFTWARE-HARDWARE CO- DESIGN APPROACH FOR EFFICIENT MULTIMODAL IN- FERENCE ON BATTERY-POWERED SMALL DEVICES
- ICLR 2026Token Distillation: Attention-Aware Input Embeddings for New Tokens
- ICLR 2026TokenSeek: Memory Efficient Fine Tuning via Instance-Aware Token Ditching
- ICLR 2026ToProVAR: Efficient Visual Autoregressive Modeling via Tri-Dimensional Entropy-Aware Semantic Analysis and Sparsity Optimization
- ICLR 2026Towards Anomaly-Aware Pre-Training and Fine-Tuning for Graph Anomaly Detection
- ICLR 2026Towards Understanding The Calibration Benefits of Sharpness-Aware Minimization
- ICLR 2026Tug-of-War No More: Harmonizing Accuracy and Robustness in Vision-Language Models via Stability-Aware Task Vector Merging
- ICLR 2026TurboBoA: Faster and Exact Attention-aware Quantization without Backpropagation
- ICLR 2026Uncertainty-Aware 3D Reconstruction for Dynamic Underwater Scenes
- ICLR 2026Uncertainty-Aware Diagnostics for Physics-Informed Machine Learning
- ICLR 2026Uncertainty-driven Embedding Convolution
- ICLR 2026Unsupervised Representation Learning for 3D Mesh Parameterization with Semantic and Visibility Objectives
- ICLR 2026WATS: Wavelet-Aware Temperature Scaling for Reliable Graph Neural Networks
- ICML 20261-Bit Wonder: Improving QAT Performance in the Low-Bit Regime through K-Means Quantization
- ICML 20264DPC$^2$hat: Towards Dynamic Point Cloud Understanding with Failure-Aware Bootstrapping
- ICML 2026A Conflict-aware Evidential Framework for Reliable Sleep Stage Classification
- ICML 2026A Geometry-Aware Efficient Algorithm for Compositional Entropic Risk Minimization
- ICML 2026A Judge-Aware Ranking Framework for Evaluating Large Language Models without Ground Truth
- ICML 2026AES: Curing Optimizer Blindness in Long-Tailed Recognition via State-Aware Correction
- ICML 2026AgentTailor: A Semantic-Aware LLM-Based Multi-Agent System with Actor-Critic Structure
- ICML 2026Alignment-Aware Decoding
- ICML 2026Anchor-Final Self-Supervision Drives Hallucination-Aware Optimization in Large Vision-Language Models
- ICML 2026ArborKV: Structure-Aware KV Cache Management for Scaling Tree-based LLM Reasoning
- ICML 2026Attention Sink Forges Native MoE in Attention Layers: Sink-Aware Training to Address Head Collapse
- ICML 2026Attn-QAT: 4-Bit Attention With Quantization-Aware Training
- ICML 2026Attribution-Guided and Coverage-Maximized Pruning for Structural MoE Compression
- ICML 2026AutoNumerics-Zero: Automated Discovery of State-of-the-Art Mathematical Functions
- ICML 2026BandPO: Bridging Trust Regions and Ratio Clipping via Probability-Aware Bounds for LLM Reinforcement Learning
- ICML 2026Beyond Hamming: Query-Aware Decoding of Binary Cosine Sketches
- ICML 2026Beyond Perplexity: UTF-8 Validity in Byte-aware Language Models
- ICML 2026Beyond Point-wise Neural Collapse: A Topology-Aware Hierarchical Classifier for Class-Incremental Learning
- ICML 2026Beyond Prediction: Tail-Aware Scheduling for LLM Inference
- ICML 2026Blocking the Leakage: Manifold-Aware Gradient Projection for Long-Horizon Test-Time Adaptation
- ICML 2026BPL: Generalizable Deepfake Detection via Bias-only Pair-aware Learning
- ICML 2026Causal-aware Anomaly Detection for Tabular Data
- ICML 2026CELL: A Causal Perspective for Fairness-aware Graph Adaptation
- ICML 2026Cluster-Aware Causal Mixer for Online Anomaly Detection in Multivariate Time Series
- ICML 2026Concept Heterogeneity-aware Representation Steering
- ICML 2026CONGA:Confidence-and-Gradient-Aware Learning Rate Schedule for Test Time Adaptation
- ICML 2026CONTINUUM: Restoring the Contiguous Tensor Abstraction Efficiently for Dynamic AI Workloads via Hardware Virtualization
- ICML 2026Convolutional Learnable-Group Weightless Neural Network
- ICML 2026CORAL: Uncertainty-Aware Regulation of Exposure Concentration in Recommender Systems
- ICML 2026Cost-aware Stopping for Bayesian Optimization
- ICML 2026Courtroom Analogy: New Perspective on Uncertainty-Aware Classification
- ICML 2026CRAMER: Control via Request-Aware Masking for Editing Recommenders
- ICML 2026Crowd4D: Scene-Aware Monocular 4D Crowd Reconstruction
- ICML 2026DARC: Disagreement-Aware Alignment via Risk-Constrained Decoding
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。