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

340 papers, page 2 of 7

51. ICML 2026Efficient Transformer Attention for SNNs via Hadamard Simplification
52. ICML 2026Enhancing Affine Maximizer Auctions with Correlation-Aware Payment
53. ICML 2026Entropy-aware Span-Constrained Optimal Transport for Robust Cross-Tokenizer Knowledge Distillation
54. ICML 2026Expected Returns and Policy Inconsistency-Aware Offline Federated Deep Reinforcement Learning
55. ICML 2026FAIR-Calib: Frontier-Aware Instability-Reweighted Calibration for Post-Training Quantization of Diffusion Large Language Models
56. ICML 2026Federated Graph Learning via Structure-Aware Fusion Using a Kalman Framework with Learnable Dynamics
57. ICML 2026FedQueue: Queue-Aware Federated Learning for Cross-Facility HPC Training
58. ICML 2026FlashSinkhorn: IO-Aware Entropic Optimal Transport on GPU
59. ICML 2026Forget by Uncertainty: Orthogonal Entropy Unlearning for Quantized Neural Networks
60. ICML 2026Forget to Know, Remember to Use: Context-Aware Unlearning for Large Language Models
61. ICML 2026Forget-It-All: Multi-Concept Machine Unlearning via Concept-Aware Neuron Masking
62. ICML 2026From Guessing to Placeholding: A Cost-Theoretic Framework for Uncertainty-Aware Code Completion
63. ICML 2026G-RANS: Generalizable Residual-Aware Neural Solvers for Sparse Systems
64. ICML 2026GeoDM: Geometry-aware Distribution Matching for Dataset Distillation
65. ICML 2026GeoEvo: Identity-Aware Potential Game with Geometric Evolution for Personalized Multimodal Federated Learning
66. ICML 2026Geometry-Aware Decoding with Wasserstein-Regularized Truncation and Mass Penalties for Large Language Models
67. ICML 2026Geometry-Aware Probabilistic Circuits via Voronoi Tessellations
68. ICML 2026GHOST: Unmasking Phantom States in Mamba2 via Grouped Hidden-state Output-aware Selection & Truncation
69. ICML 2026Gradient-Aware Scheduling: Coupling Curriculum and Staleness for Async Reinforcement Learning
70. ICML 2026Granularity-Aware Adaptive Classifier Expansion via Zero-Shot Learning
71. ICML 2026Grounding Functional Similarity by Invariance-Aware Model Stitching
72. ICML 2026H$^2$CL: Heterogeneity-Aware Hypergraph Contrastive Learning for Robust Representation Learning
73. ICML 2026HASTE: Hardware-Aware Dynamic Sparse Training for Large Output Spaces
74. ICML 2026HelioX: A GPU-Native Framework for Simulation and Training of Biophysically Detailed Networks
75. ICML 2026HIAL: Towards Semantics-Aware Hypergraph Active Learning via Dual-Perspective Information Maximization
76. ICML 2026HTAC: Hierarchical Task-Aware Composition for Continual Offline Reinforcement Learning
77. ICML 2026Hyper-LLaVA: Hyperbolic Uncertainty-aware Modality-Balanced Routing for Multimodal Continual Instruction Tuning
78. ICML 2026ImpQuant: Fine-Grained Importance-Aware Quantization for Large Vision-Language Models
79. ICML 2026Inconsistency-Aware Minimization: Improving Generalization with Unlabeled Data
80. ICML 2026Inference-Aware Meta-Alignment of LLMs via Non-Linear GRPO
81. ICML 2026KANFIS: A Neuro-Symbolic Framework for Interpretable and Uncertainty-Aware Learning
82. ICML 2026KernelBand: Steering LLM-based Kernel Optimization via Hardware-Aware Multi-Armed Bandits
83. ICML 2026KernelFoundry: Hardware-Aware Evolutionary GPU Kernel Optimization
84. ICML 2026LangPrecip: Language-Aware Multimodal Precipitation Nowcasting
85. ICML 2026LEAP: Zone-Aware MCTS for LLM Self-Speculative Decoding
86. ICML 2026Learning Compressed Shape-Aware Molecular Representations for Virtual Screening
87. ICML 2026Learning the ESG Geometry with Domain Aware Language Models
88. ICML 2026Learning to Bet for Horizon-Aware Anytime-Valid Testing
89. ICML 2026Least-Loaded Expert Parallelism: Load Balancing An Imbalanced Mixture-of-Experts
90. ICML 2026LLM4Cov: Execution-Aware Agentic Learning for High-coverage Testbench Generation
91. ICML 2026LoSA: Locality Aware Sparse Attention in Diffusion Language Models
92. ICML 2026Loss-Aware Distributionally Robust Optimization via Trainable Optimal Transport Ambiguity Sets
93. ICML 2026MAC-NeRF: Motion-Aware Curriculum Learning for Dynamic LiDAR NeRFs
94. ICML 2026MAMBO-G: Magnitude-Aware Mitigation for Boosted Guidance
95. ICML 2026MAPS: Memory-Aware Predictive Scheduling Framework for Large Language Model Serving
96. ICML 2026Merge to Remember: Sharpness-Aware Isotropic Merging for Continual Learning
97. ICML 2026MetaMoE: Diversity-Aware Proxy Selection for Privacy-Preserving Mixture-of-Experts Unification
98. ICML 2026MGAL: A Multilingual Granularity-Aware Long-Context Benchmark
99. ICML 2026Mind the Gap: Structure-Aware Consistency in Preference Learning
100. ICML 2026Mind the State: Towards Unified, Context-Aware EEG-to-fMRI Synthesis

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.