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 1 of 5

1. ICLR 20263D Aware Region Prompted Vision Language Model
2. ICLR 20263D-aware Disentangled Representation for Compositional Reinforcement Learning
3. ICLR 2026Accelerating Benchmarking of Functional Connectivity Modeling via Structure-aware Core-set Selection
4. ICLR 2026AlphaSAGE: Structure-Aware Alpha Mining via GFlowNets for Robust Exploration
5. ICLR 2026AntigenLM: Structure-Aware DNA Language Modeling for Influenza
6. ICLR 2026ATLAS: Constraints-Aware Multi-Agent Collaboration for Real-World Travel Planning
7. ICLR 2026Attend to the Active: Structure-Aware Dynamic Attention in LLMs for Compositional Instruction Following
8. ICLR 2026BBQ: Boosting Quantization Entropy with Bell Box Quantization
9. ICLR 2026Beyond Magic Words: Sharpness-Aware Prompt Evolving for Robust Large Language Models with TARE
10. ICLR 2026Beyond Outliers: A Study of Optimizers Under Quantization
11. ICLR 2026Bridging Explainability and Embeddings: BEE Aware of Spuriousness
12. ICLR 2026Bridging Past and Future: Distribution-Aware Alignment for Time Series Forecasting
13. ICLR 2026Can LLMs Refuse Questions They Do Not Know? Measuring Knowledge-Aware Refusal in Factual Tasks
14. ICLR 2026Capacity-Aware Inference: Mitigating the Straggler Effect in Mixture of Experts
15. ICLR 2026CDBridge: A Cross-omics Post-training Bridge Strategy for Context-aware Biological Modeling
16. ICLR 2026Concept-Aware Privacy Mechanisms for Defending Embedding Inversion Attacks
17. ICLR 2026Condition Matters in Full-head 3D GANs
18. ICLR 2026Confident Block Diagonal Structure-Aware Invariable Graph Completion for Incomplete Multi-view Clustering
19. ICLR 2026Conformalized Hierarchical Calibration for Uncertainty-Aware Adaptive Hashing
20. ICLR 2026Constraint-guided Hardware-aware NAS through Gradient Modification
21. ICLR 2026CooperTrim: Adaptive Data Selection for Uncertainty-Aware Cooperative Perception
22. ICLR 2026COSA: Context-aware Output-Space Adapter for Test-Time Adaptation in Time Series Forecasting
23. ICLR 2026Cost-Aware Dynamic Tree Construction for Efficient Large Language Model Inference
24. ICLR 2026Data Aware and Scalable Sensitivity Analysis for Decision Tree Ensembles
25. ICLR 2026Decoding Dynamic Visual Experience from Calcium Imaging via Cell-Pattern-Aware SSL
26. ICLR 2026Detect, Decide, Unlearn: A Transfer-Aware Framework for Continual Learning
27. ICLR 2026Difference-Aware Retrieval Polices for Imitation Learning
28. ICLR 2026Disco: Densely-overlapping Cell Instance Segmentation via Adjacency-aware Collaborative Coloring
29. ICLR 2026Distribution-Aware Multi-Granularity Phase Coding: Towards Lower Conversion Error for Spike-Driven Large Language Models
30. ICLR 2026Diversity-Aware Online Prompt Assignment to Generative Models
31. ICLR 2026DPQuant: Efficient and Private Model Training via Dynamic Quantization Scheduling
32. ICLR 2026DynamicInfer: Runtime-Aware Sparse Offloading for LLMs Inference on a Consumer-Grade GPU
33. ICLR 2026Efficient-SAM2: Accelerating SAM2 with Object-Aware Visual Encoding and Memory Retrieval
34. ICLR 2026Embedding-Based Context-Aware Reranker
35. ICLR 2026Enhancing Communication Compression via Discrepancy-aware Calibration for Federated Learning
36. ICLR 2026Ensembling Pruned Attention Heads For Uncertainty-Aware Efficient Transformers
37. ICLR 2026Error as Signal: Stiffness-Aware Diffusion Sampling via Embedded Runge-Kutta Guidance
38. ICLR 2026EVEREST: A Transformer for Probabilistic Rare-Event Anomaly Detection with Evidential and Tail-Aware Uncertainty
39. ICLR 2026FACET: A Fragment-Aware Conformer Ensemble Transformer
40. ICLR 2026Fairness-Aware Multi-view Evidential Learning with Adaptive Prior
41. ICLR 2026FaLW: A Forgetting-aware Loss Reweighting for Long-tailed Unlearning
42. ICLR 2026FASA: FREQUENCY-AWARE SPARSE ATTENTION
43. ICLR 2026FastGRPO: Accelerating Policy Optimization via Concurrency-aware Speculative Decoding and Online Draft Learning
44. ICLR 2026FlowSymm: Physics–Aware, Symmetry–Preserving Graph Attention for Network Flow Completion
45. ICLR 2026Frequency-aware Dynamic Gaussian Splatting
46. ICLR 2026FSD-CAP: Fractional Subgraph Diffusion with Class-Aware Propagation for Graph Feature Imputation
47. ICLR 2026GAPrune: Gradient-Alignment Pruning for Domain-Aware Embeddings
48. ICLR 2026Geometry-aware Policy Imitation
49. ICLR 2026Glance for Context: Learning When to Leverage LLMs for Node-Aware GNN-LLM Fusion
50. ICLR 2026Globally aware optimization with resurgence

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.