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

232 papers, page 2 of 5

51. ICLR 2026GOT-Edit: Geometry-Aware Generic Object Tracking via Online Model Editing
52. ICLR 2026Gradient-Direction-Aware Density Control for 3D Gaussian Splatting
53. ICLR 2026Hallucination-aware Intermediate Representation Editing in Large Vision-Lanugage Models
54. ICLR 2026Horseshoe Splatting: Handling Structural Sparsity for Uncertainty-Aware Gaussian-Splatting Radiance Field Rendering
55. ICLR 2026Hyperbolic Aware Minimization: Implicit Bias for Sparsity
56. ICLR 2026IGU-LoRA: Adaptive Rank Allocation via Integrated Gradients and Uncertainty-Aware Scoring
57. ICLR 2026Imitating the Truth: Attention-aware Truth-Guided Enhancement for Hallucination Mitigation in Large Vision-Language Models
58. ICLR 2026Keep the Best, Forget the Rest: Reliable Alignment with Order-Aware Preference Optimization
59. ICLR 2026Knowledge Editing with Subspace-Aware Key-Value Mappings
60. ICLR 2026LANE: Label-Aware Noise Elimination for Fine-Grained Text Classification
61. ICLR 2026Language Confusion Gate: Language-Aware Decoding Through Model Self-Distillation
62. ICLR 2026Learning Part-Aware Dense 3D Feature Field For Generalizable Articulated Object Manipulation
63. ICLR 2026Learning Semi-Structured Sparsity for LLMs via Shared and Context-Aware Hypernetwork
64. ICLR 2026Lipschitz Bandits with Stochastic Delayed Feedback
65. ICLR 2026MAVEN: A Mesh-Aware Volumetric Encoding Network for Simulating 3D Flexible Deformation
66. ICLR 2026Membership Privacy Risks of Sharpness Aware Minimization
67. ICLR 2026MergOPT: A Merge-Aware Optimizer for Robust Model Merging
68. ICLR 2026Minor First, Major Last: A Depth-Induced Implicit Bias of Sharpness-Aware Minimization
69. ICLR 2026Model-based Offline RL via Robust Value-Aware Model Learning with Implicitly Differentiable Adaptive Weighting
70. ICLR 2026NDAD: Negative-Direction Aware Decoding for Large Language Models via Controllable Hallucination Signal Injection
71. ICLR 2026Neuron-Aware Data Selection in Instruction Tuning for Large Language Models
72. ICLR 2026Noise-Aware Generalization: Robustness to In-Domain Noise and Out-of-Domain Generalization
73. ICLR 2026Non-Convex Federated Optimization under Cost-Aware Client Selection
74. ICLR 2026OWL : Geometry-Aware Spatial Reasoning for Audio Large Language Models
75. ICLR 2026Paper Copilot: Tracking the Evolution of Peer Review in AI Conferences
76. ICLR 2026PEAR: Phase Entropy Aware Reward for Efficient Reasoning
77. ICLR 2026PRISM: Festina Lente Proactivity—Risk-Sensitive, Uncertainty-Aware Deliberation for Proactive Agents
78. ICLR 2026Quantization-Aware Diffusion Models For Maximum Likelihood Training
79. ICLR 2026QWHA: Quantization-Aware Walsh-Hadamard Adaptation for Parameter-Efficient Fine-Tuning on Large Language Models
80. ICLR 2026RADAR: Learning to Route with Asymmetry-aware Distance Representations
81. ICLR 2026RADAR: Reasoning–Ability and Difficulty-Aware Routing in Language Models
82. ICLR 2026RankFlow: Property-aware Transport for Protein Optimization
83. ICLR 2026Relationship Alignment for View-aware Multi-view Clustering
84. ICLR 2026Rényi Sharpness: A Novel Sharpness that Strongly Correlates with Generalization
85. ICLR 2026RESFL: An Uncertainty-Aware Framework for Responsible Federated Learning by Balancing Privacy, Fairness and Utility
86. ICLR 2026Revisiting Sharpness-Aware Minimization: A More Faithful and Effective Implementation
87. ICLR 2026Robust Adversarial Quantification via Conflict-Aware Evidential Deep Learning
88. ICLR 2026SAQ: Stabilizer-Aware Quantum Error Correction Decoder
89. ICLR 2026SCAD: Super-Class-Aware Debiasing for Long-Tailed Semi-Supervised Learning
90. ICLR 2026Secure Outlier-Aware Large Language Model Inference
91. ICLR 2026Sem-MoE: Semantic-aware Model-Data Collaborative Scheduling for Efficient MoE Inference
92. ICLR 2026Semantic-Aware Diffusion LLM Inference With Adaptive Block Size
93. ICLR 2026Semantic-aware Wasserstein Policy Regularization for Large Language Model Alignment
94. ICLR 2026SERQ: Saliency-Aware Low-Rank Error Reconstruction for LLM Quantization
95. ICLR 2026SHAPO: Sharpness-Aware Policy Optimization for Safe Exploration
96. ICLR 2026Sharpness-Aware Machine Unlearning
97. ICLR 2026Sharpness-Aware Minimization in Logit Space Efficiently Enhances Direct Preference Optimization
98. ICLR 2026SNaX: sparse narrow accelerated mixture of experts
99. ICLR 2026SONA: Learning Conditional, Unconditional, and Matching-Aware Discriminator
100. ICLR 2026SpecBranch: Speculative Decoding via Hybrid Drafting and Rollback-Aware Branch Parallelism

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.