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

44 papers, page 1 of 1

1. ICLR 20256DGS: Enhanced Direction-Aware Gaussian Splatting for Volumetric Rendering
2. ICLR 2025A Distributional Approach to Uncertainty-Aware Preference Alignment Using Offline Demonstrations
3. ICLR 2025Better autoregressive regression with LLMs via regression-aware fine-tuning
4. ICLR 2025CAMEx: Curvature-aware Merging of Experts
5. ICLR 2025CATCH: Channel-Aware Multivariate Time Series Anomaly Detection via Frequency Patching
6. ICLR 2025CAX: Cellular Automata Accelerated in JAX
7. ICLR 2025Curriculum-aware Training for Discriminating Molecular Property Prediction Models
8. ICLR 2025Decision Tree Induction Through LLMs via Semantically-Aware Evolution
9. ICLR 2025DGQ: Distribution-Aware Group Quantization for Text-to-Image Diffusion Models
10. ICLR 2025Easing Training Process of Rectified Flow Models Via Lengthening Inter-Path Distance
11. ICLR 2025FlashRNN: I/O-Aware Optimization of Traditional RNNs on modern hardware
12. ICLR 2025GaussianBlock: Building Part-Aware Compositional and Editable 3D Scene by Primitives and Gaussians
13. ICLR 2025Geometry-Aware Approaches for Balancing Performance and Theoretical Guarantees in Linear Bandits
14. ICLR 2025Geometry-aware RL for Manipulation of Varying Shapes and Deformable Objects
15. ICLR 2025Going Beyond Feature Similarity: Effective Dataset distillation based on Class-aware Conditional Mutual Information
16. ICLR 2025Inference-Aware Fine-Tuning for Best-of-N Sampling in Large Language Models
17. ICLR 2025KooNPro: A Variance-Aware Koopman Probabilistic Model Enhanced by Neural Process for Time Series Forecasting
18. ICLR 2025LeanQuant: Accurate and Scalable Large Language Model Quantization with Loss-error-aware Grid
19. ICLR 2025MaxCutPool: differentiable feature-aware Maxcut for pooling in graph neural networks
20. ICLR 2025Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning
21. ICLR 2025Multiplicative Logit Adjustment Approximates Neural-Collapse-Aware Decision Boundary Adjustment
22. ICLR 2025NExUME: Adaptive Training and Inference for DNNs under Intermittent Power Environments
23. ICLR 2025OATS: Outlier-Aware Pruning Through Sparse and Low Rank Decomposition
24. ICLR 2025OCCAM: Towards Cost-Efficient and Accuracy-Aware Classification Inference
25. ICLR 2025PolaFormer: Polarity-aware Linear Attention for Vision Transformers
26. ICLR 2025Privacy-Aware Lifelong Learning
27. ICLR 2025Ranking-aware adapter for text-driven image ordering with CLIP
28. ICLR 2025Relation-Aware Diffusion for Heterogeneous Graphs with Partially Observed Features
29. ICLR 2025Rethinking the generalization of drug target affinity prediction algorithms via similarity aware evaluation
30. ICLR 2025SaMer: A Scenario-aware Multi-dimensional Evaluator for Large Language Models
31. ICLR 2025Scale-aware Recognition in Satellite Images under Resource Constraints
32. ICLR 2025Second Order Bounds for Contextual Bandits with Function Approximation
33. ICLR 2025Semantic Aware Representation Learning for Lifelong Learning
34. ICLR 2025Sharpness-Aware Minimization Efficiently Selects Flatter Minima Late In Training
35. ICLR 2025SPAM: Spike-Aware Adam with Momentum Reset for Stable LLM Training
36. ICLR 2025Spatial-Mamba: Effective Visual State Space Models via Structure-Aware State Fusion
37. ICLR 2025Stochastic Semi-Gradient Descent for Learning Mean Field Games with Population-Aware Function Approximation
38. ICLR 2025Subtask-Aware Visual Reward Learning from Segmented Demonstrations
39. ICLR 2025SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression
40. ICLR 2025SynQ: Accurate Zero-shot Quantization by Synthesis-aware Fine-tuning
41. ICLR 2025TD-Paint: Faster Diffusion Inpainting Through Time-Aware Pixel Conditioning
42. ICLR 2025TopoDiffusionNet: A Topology-aware Diffusion Model
43. ICLR 2025Uncertainty-Aware Decoding with Minimum Bayes Risk
44. ICLR 2025Utility-Directed Conformal Prediction: A Decision-Aware Framework for Actionable Uncertainty Quantification

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.