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

263 papers, page 1 of 6

1. NeurIPS 2026$\boldsymbol{f}$-OPD: Stabilizing Long-Horizon On-Policy Distillation with Freshness-Aware Control
2. NeurIPS 20263D-VITAL: Visibility-aware Identity Training from Artificial Liftings of 3D Reconstruction model for Cross-View Object Re-Identification
3. NeurIPS 2026A Communication-Theoretic Framework for LLM Agents: Cost-Aware Adaptive Reliability
4. NeurIPS 2026A Locality-Aware Surrogate for Natural-Gradient Descent in Quantum Optimization
5. NeurIPS 2026A Unified Framework for Adversary-Aware Differential Privacy Bounds
6. NeurIPS 2026AcceleGrad#: Adaptive Geometry-Aware Acceleration
7. NeurIPS 2026Accelerated Image Editing via Consistency-Aware Source Token Pruning
8. NeurIPS 2026Accelerating Rectified Flow Models via Trajectory-Aware Caching
9. NeurIPS 2026ACD-GS: Asymmetric Curvature-aware Densification for 3D Gaussian Splatting
10. NeurIPS 2026ACDP: Architecture-aware Cross-Dataset Performance Predictor for NAS
11. NeurIPS 2026Achieve Latency-Efficient Temporal-Coding Spiking LLMs via Discretization-Aware Conversion
12. NeurIPS 2026ACQueReLlo: Alignment-Aware Constrained Quantization via Reinforcement Learning for Large Language Models
13. NeurIPS 2026Adaptive Fine-Tuning Scheduler for Multi-Tenant Edge LLM via Convergence-Aware Bandits
14. NeurIPS 2026AdapToPASS: Ambiguity-aware Adaptive Spherical Transformer for Panoramic Semantic Segmentation
15. NeurIPS 2026AdaTree: Serving-Aware Adaptive Tree Construction for Speculative Decoding
16. NeurIPS 2026AeroMosaic:Transport-Aware Multimodal Evidence Fusion for Atmospheric Pollution Risk Inference
17. NeurIPS 2026Anatomy-aware Spatio-Temporal Modeling for Echocardiography Segmentation
18. NeurIPS 2026AnyMo: Geometry-Aware Setup-Agnostic Modeling of Human Motion in the Wild
19. NeurIPS 2026AR1-ZO: Topology-Aware Rank-1 Zeroth-Order Queries for High-Rank LoRA Fine-Tuning
20. NeurIPS 2026Arena-T2I Hard: Benchmarking and Improving Faithfulness with Dependency-Aware Checklist Rewards
21. NeurIPS 2026ARTIS: Agentic Risk-Aware Test-Time Scaling via Iterative Simulation
22. NeurIPS 2026ASQ: Agent-guided Semantic-aware Quantization for Large Language Models
23. NeurIPS 2026AsymPipe: Accelerating Large-scale DiTs Image Editing via Asymmetry-Aware Pipeline Parallelism
24. NeurIPS 2026AtlasULP: Domain-aware Universal Link Prediction via Relation Atlas
25. NeurIPS 2026Auxiliary Clues Aware’s Geometry Problem Solving
26. NeurIPS 2026Behaviour4All: A Dependency-Aware Toolkit for in-the-wild Facial Behaviour Analysis
27. NeurIPS 2026Best Arm Identification in Generalized Linear Bandits via Hybrid Feedback
28. NeurIPS 2026Beyond Chamfer Distance: Granular Order-aware Evaluation Metric For Online Mapping
29. NeurIPS 2026Beyond Exemplar Selection: Value-Aware Memory Allocation in Replay-Based Continual Learning
30. NeurIPS 2026Beyond Parameter Arithmetic: Sparse Complementary Fusion for Distribution-Aware Model Merging
31. NeurIPS 2026Beyond Row Alignment: Virtual-Camera-Aware Online Stereo Rectification
32. NeurIPS 2026Biomedical Acquisition-induced Style Shifts as Mixture Shifts: Style-aware Mixture-of-Experts Multimodal Prompt Learning
33. NeurIPS 2026Block-Wise Differentiable Sinkhorn Attention: Tail-Refinement Gradients with a Gap-Aware Dustbin Bridge
34. NeurIPS 2026Build-and-Find: An Effort-Aware Protocol for Evaluating Agent-Managed Codebases
35. NeurIPS 2026CAIRN: Cross-Room 3D Scene Understanding with Topology-Aware Large Multimodal Models
36. NeurIPS 2026Cannistraci-Hebb Channel-wise Dynamic Sparse Training of Convolutional Neural Networks with Contextual Modulation
37. NeurIPS 2026CASAM: Consistency-Anchored Sharpness-Aware Minimization for Improved Model Generalization
38. NeurIPS 2026CECAR: Cache & Expert Co-Aware Routing Accelerates On-Device Inference of MoE LLMs
39. NeurIPS 2026Chain-of-Route: State-Aware LLM Routing for Multi-Turn Conversations
40. NeurIPS 2026CHARM+: Cross-Hardware Attention with Re-Merge Multistream Mechanism
41. NeurIPS 2026CMI-Trans: Cross Modal Inconsistency-aware Transport for HSI-LiDAR Classification
42. NeurIPS 2026CoANeRV: Coordinate-Aware Token-Space Neural Video Representation
43. NeurIPS 2026CoLaX: Context-Aware Local Explanations for Time Series Classification
44. NeurIPS 2026Complexity Aware Continuous Level of Details for Gaussian Splatting
45. NeurIPS 2026Complexity-Aware LoRA Aggregation for Modality-Heterogeneous Federated Person Re-identification
46. NeurIPS 2026Concorde: Geometry-Aware Link Prediction via Decoupled Energy Minimization
47. NeurIPS 2026Conformal Prediction with Paraphrase-Aware Scoring for LLM Uncertainty Quantification
48. NeurIPS 2026Confounding-Aware Client Selection in Federated Learning via Causal Mediation Analysis
49. NeurIPS 2026Constrained Look-ahead Guidance for Interference-Aware Flow Editing
50. NeurIPS 2026Constraint-Aware Influence Estimation in Deep Constrained Learning

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.