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

69 papers, page 1 of 2

1. NeurIPS 2024$\boldsymbol{\mu}\mathbf{P^2}$: Effective Sharpness Aware Minimization Requires Layerwise Perturbation Scaling
2. NeurIPS 2024$\textit{Bifr\"ost}$: 3D-Aware Image Compositing with Language Instructions
3. NeurIPS 2024A Consistency-Aware Spot-Guided Transformer for Versatile and Hierarchical Point Cloud Registration
4. NeurIPS 2024A Single-Step, Sharpness-Aware Minimization is All You Need to Achieve Efficient and Accurate Sparse Training
5. NeurIPS 2024A Topology-aware Graph Coarsening Framework for Continual Graph Learning
6. NeurIPS 2024A2PO: Towards Effective Offline Reinforcement Learning from an Advantage-aware Perspective
7. NeurIPS 2024Active Learning with LLMs for Partially Observed and Cost-Aware Scenarios
8. NeurIPS 2024Approximation-Aware Bayesian Optimization
9. NeurIPS 2024Association Pattern-aware Fusion for Biological Entity Relationship Prediction
10. NeurIPS 2024AV-GS: Learning Material and Geometry Aware Priors for Novel View Acoustic Synthesis
11. NeurIPS 2024Cardinality-Aware Set Prediction and Top-$k$ Classification
12. NeurIPS 2024Computation-Aware Gaussian Processes: Model Selection And Linear-Time Inference
13. NeurIPS 2024Con4m: Context-aware Consistency Learning Framework for Segmented Time Series Classification
14. NeurIPS 2024Context and Geometry Aware Voxel Transformer for Semantic Scene Completion
15. NeurIPS 2024Context-Aware Testing: A New Paradigm for Model Testing with Large Language Models
16. NeurIPS 2024Cooperative Hardware-Prompt Learning for Snapshot Compressive Imaging
17. NeurIPS 2024Cost-aware Bayesian Optimization via the Pandora's Box Gittins Index
18. NeurIPS 2024DASH: Warm-Starting Neural Network Training in Stationary Settings without Loss of Plasticity
19. NeurIPS 2024DEPrune: Depth-wise Separable Convolution Pruning for Maximizing GPU Parallelism
20. NeurIPS 2024DiffusionBlend: Learning 3D Image Prior through Position-aware Diffusion Score Blending for 3D Computed Tomography Reconstruction
21. NeurIPS 2024DisC-GS: Discontinuity-aware Gaussian Splatting
22. NeurIPS 2024Distribution-Aware Data Expansion with Diffusion Models
23. NeurIPS 2024DistrictNet: Decision-aware learning for geographical districting
24. NeurIPS 2024DoFIT: Domain-aware Federated Instruction Tuning with Alleviated Catastrophic Forgetting
25. NeurIPS 2024DreamCatcher: A Wearer-aware Multi-modal Sleep Event Dataset Based on Earables in Non-restrictive Environments
26. NeurIPS 2024Evidential Stochastic Differential Equations for Time-Aware Sequential Recommendation
27. NeurIPS 2024Explicit Eigenvalue Regularization Improves Sharpness-Aware Minimization
28. NeurIPS 2024EyeGraph: Modularity-aware Spatio Temporal Graph Clustering for Continuous Event-based Eye Tracking
29. NeurIPS 2024Fairness-Aware Estimation of Graphical Models
30. NeurIPS 2024Fairness-Aware Meta-Learning via Nash Bargaining
31. NeurIPS 2024FedGMKD: An Efficient Prototype Federated Learning Framework through Knowledge Distillation and Discrepancy-Aware Aggregation
32. NeurIPS 2024FIARSE: Model-Heterogeneous Federated Learning via Importance-Aware Submodel Extraction
33. NeurIPS 2024FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precision
34. NeurIPS 2024Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning
35. NeurIPS 2024Fundamental Convergence Analysis of Sharpness-Aware Minimization
36. NeurIPS 2024Gated Slot Attention for Efficient Linear-Time Sequence Modeling
37. NeurIPS 2024GaussianMarker: Uncertainty-Aware Copyright Protection of 3D Gaussian Splatting
38. NeurIPS 2024Geometry-aware training of factorized layers in tensor Tucker format
39. NeurIPS 2024Graph-enhanced Optimizers for Structure-aware Recommendation Embedding Evolution
40. NeurIPS 2024Hierarchical Object-Aware Dual-Level Contrastive Learning for Domain Generalized Stereo Matching
41. NeurIPS 2024HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Models
42. NeurIPS 2024Implicit Regularization of Sharpness-Aware Minimization for Scale-Invariant Problems
43. NeurIPS 2024Learning Interaction-aware 3D Gaussian Splatting for One-shot Hand Avatars
44. NeurIPS 2024Localize, Understand, Collaborate: Semantic-Aware Dragging via Intention Reasoner
45. NeurIPS 2024MambaLLIE: Implicit Retinex-Aware Low Light Enhancement with Global-then-Local State Space
46. NeurIPS 2024MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models
47. NeurIPS 2024Model Sensitivity Aware Continual Learning
48. NeurIPS 2024Optimistic Verifiable Training by Controlling Hardware Nondeterminism
49. NeurIPS 2024Parallelizing Linear Transformers with the Delta Rule over Sequence Length
50. NeurIPS 2024Perplexity-aware Correction for Robust Alignment with Noisy Preferences

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.