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 5 of 5

201. ICLR 2024Sharpness-Aware Minimization Enhances Feature Quality via Balanced Learning
202. ICLR 2024Structural Fairness-aware Active Learning for Graph Neural Networks
203. ICLR 2024Towards Cheaper Inference in Deep Networks with Lower Bit-Width Accumulators
204. ICLR 2024TRAM: Bridging Trust Regions and Sharpness Aware Minimization
205. ICLR 2024Uncertainty-aware Constraint Inference in Inverse Constrained Reinforcement Learning
206. ICLR 2024Uncertainty-aware Graph-based Hyperspectral Image Classification
207. ICLR 2024Unknown Domain Inconsistency Minimization for Domain Generalization
208. ICLR 2024Variance-aware Regret Bounds for Stochastic Contextual Dueling Bandits
209. ICLR 2024Zero Bubble (Almost) Pipeline Parallelism
210. ICLR 2023$\rm A^2Q$: Aggregation-Aware Quantization for Graph Neural Networks
211. ICLR 2023A new characterization of the edge of stability based on a sharpness measure aware of batch gradient distribution
212. ICLR 2023An Adaptive Policy to Employ Sharpness-Aware Minimization
213. ICLR 2023CrAM: A Compression-Aware Minimizer
214. ICLR 2023EA-HAS-Bench: Energy-aware Hyperparameter and Architecture Search Benchmark
215. ICLR 2023Equivariance-aware Architectural Optimization of Neural Networks
216. ICLR 2023Explaining RL Decisions with Trajectories
217. ICLR 2023Fairness-aware Contrastive Learning with Partially Annotated Sensitive Attributes
218. ICLR 2023FedDAR: Federated Domain-Aware Representation Learning
219. ICLR 2023How Sharpness-Aware Minimization Minimizes Sharpness?
220. ICLR 2023Meta-prediction Model for Distillation-Aware NAS on Unseen Datasets
221. ICLR 2023Population-size-Aware Policy Optimization for Mean-Field Games
222. ICLR 2023Risk-Aware Reinforcement Learning with Coherent Risk Measures and Non-linear Function Approximation
223. ICLR 2023SAM as an Optimal Relaxation of Bayes
224. ICLR 2023StyleMorph: Disentangled 3D-Aware Image Synthesis with a 3D Morphable StyleGAN
225. ICLR 2023SYNC: SAFETY-AWARE NEURAL CONTROL FOR STABILIZING STOCHASTIC DELAY-DIFFERENTIAL EQUATIONS
226. ICLR 2023Task-Aware Information Routing from Common Representation Space in Lifelong Learning
227. ICLR 2023Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks
228. ICLR 2023Topology-aware Robust Optimization for Out-of-Distribution Generalization
229. ICLR 2023Towards Lightweight, Model-Agnostic and Diversity-Aware Active Anomaly Detection
230. ICLR 2023TTN: A Domain-Shift Aware Batch Normalization in Test-Time Adaptation
231. ICLR 2023Unsupervised 3D Object Learning through Neuron Activity aware Plasticity
232. ICLR 2023Variance-Aware Sparse Linear Bandits

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.