Hardware-Aware ML papers, 2023–2026

Key findings

• Hardware-Aware ML went from 173 papers in 2023 to 765 in 2026, roughly 4.4x in three years.
• CVPR publishes the most Hardware-Aware ML work: 479 papers from 2023 to 2026, 31% of the four-venue total.
• The fastest-growing overlap is with Diffusion Models: papers tagged with both rose from 4 in 2023 to 58 in 2026.
• Among the 5 topics under Efficiency and Systems, it ranks #2 by 2026 paper count; the fastest grower in the group, Datasets and Benchmarks, is up 2.1x versus 4.4x here.

Representative papers

Spread across years and venues so every edition shows up

• 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

All Hardware-Aware ML papers

473 papers, page 2 of 10

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

FAQ

How many Hardware-Aware ML papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

1,524 in total: 173 in 2023, 263 in 2024, 323 in 2025, 765 in 2026.

How many Hardware-Aware ML papers are at NeurIPS 2026?

NeurIPS 2026 has 263 Hardware-Aware ML papers, versus 120 the year before.

How many Hardware-Aware ML papers are at ICLR 2026?

ICLR 2026 has 120 Hardware-Aware ML papers, versus 44 the year before.

How many Hardware-Aware ML papers are at ICML 2026?

ICML 2026 has 186 Hardware-Aware ML papers, versus 72 the year before.

How many Hardware-Aware ML papers are at CVPR 2026?

CVPR 2026 has 196 Hardware-Aware ML papers, versus 87 the year before.

Which conference publishes the most Hardware-Aware ML papers?

CVPR, with 479 papers from 2023 to 2026.