Hardware-Aware ML papers, 2023–2026
Accelerators and compilation
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 1,524 papers are tagged with this topic.
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.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 21 | 23 | 27 | 102 | 173 |
| 2024 | 69 | 45 | 55 | 94 | 263 |
| 2025 | 120 | 44 | 72 | 87 | 323 |
| 2026 | 263 | 120 | 186 | 196 | 765 |
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
1,524 papers, page 31 of 31
- ICML 2023SpeedDETR: Speed-aware Transformers for End-to-end Object Detection
- ICML 2023Surrogate Module Learning: Reduce the Gradient Error Accumulation in Training Spiking Neural Networks
- ICML 2023Symmetry-Aware Robot Design with Structured Subgroups
- NeurIPS 2023A Robust and Opponent-Aware League Training Method for StarCraft II
- NeurIPS 2023Affinity-Aware Graph Networks
- NeurIPS 2023Coneheads: Hierarchy Aware Attention
- NeurIPS 2023Correlation Aware Sparsified Mean Estimation Using Random Projection
- NeurIPS 2023CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with Noisy Labels
- NeurIPS 2023Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization
- NeurIPS 2023Failure-Aware Gaussian Process Optimization with Regret Bounds
- NeurIPS 2023Fairness Aware Counterfactuals for Subgroups
- NeurIPS 2023Fine-Grained Cross-View Geo-Localization Using a Correlation-Aware Homography Estimator
- NeurIPS 2023HAP: Structure-Aware Masked Image Modeling for Human-Centric Perception
- NeurIPS 2023HotBEV: Hardware-oriented Transformer-based Multi-View 3D Detector for BEV Perception
- NeurIPS 2023Inner-Outer Aware Reconstruction Model for Monocular 3D Scene Reconstruction
- NeurIPS 2023Normalization Layers Are All That Sharpness-Aware Minimization Needs
- NeurIPS 2023Practical Sharpness-Aware Minimization Cannot Converge All the Way to Optima
- NeurIPS 2023Pruning vs Quantization: Which is Better?
- NeurIPS 2023Relative Entropic Optimal Transport: a (Prior-aware) Matching Perspective to (Unbalanced) Classification
- NeurIPS 2023Riemannian SAM: Sharpness-Aware Minimization on Riemannian Manifolds
- NeurIPS 2023SAME: Uncovering GNN Black Box with Structure-aware Shapley-based Multipiece Explanations
- NeurIPS 2023The Crucial Role of Normalization in Sharpness-Aware Minimization
- NeurIPS 2023The Grand Illusion: The Myth of Software Portability and Implications for ML Progress.
- NeurIPS 2023ZoomTrack: Target-aware Non-uniform Resizing for Efficient Visual Tracking
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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.