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

1,524 papers, page 25 of 31

1201. ICLR 2024Entropy-MCMC: Sampling from Flat Basins with Ease
1202. ICLR 2024FedCDA: Federated Learning with Cross-rounds Divergence-aware Aggregation
1203. ICLR 2024FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices Using a Computing Power-Aware Scheduler
1204. ICLR 2024GAFormer: Enhancing Timeseries Transformers Through Group-Aware Embeddings
1205. ICLR 2024Geometry-Aware Projective Mapping for Unbounded Neural Radiance Fields
1206. ICLR 2024GTA: A Geometry-Aware Attention Mechanism for Multi-View Transformers
1207. ICLR 2024Harnessing Joint Rain-/Detail-aware Representations to Eliminate Intricate Rains
1208. ICLR 2024Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing
1209. ICLR 2024Incentive-Aware Federated Learning with Training-Time Model Rewards
1210. ICLR 2024Locality-Aware Graph Rewiring in GNNs
1211. ICLR 2024LoftQ: LoRA-Fine-Tuning-aware Quantization for Large Language Models
1212. ICLR 2024Multi-task Learning with 3D-Aware Regularization
1213. ICLR 2024Principled Architecture-aware Scaling of Hyperparameters
1214. ICLR 2024Protein-Ligand Interaction Prior for Binding-aware 3D Molecule Diffusion Models
1215. ICLR 2024QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models
1216. ICLR 2024SaNN: Simple Yet Powerful Simplicial-aware Neural Networks
1217. ICLR 2024SaProt: Protein Language Modeling with Structure-aware Vocabulary
1218. ICLR 2024Sharpness-Aware Data Poisoning Attack
1219. ICLR 2024Sharpness-Aware Minimization Enhances Feature Quality via Balanced Learning
1220. ICLR 2024Structural Fairness-aware Active Learning for Graph Neural Networks
1221. ICLR 2024Towards Cheaper Inference in Deep Networks with Lower Bit-Width Accumulators
1222. ICLR 2024TRAM: Bridging Trust Regions and Sharpness Aware Minimization
1223. ICLR 2024Uncertainty-aware Constraint Inference in Inverse Constrained Reinforcement Learning
1224. ICLR 2024Uncertainty-aware Graph-based Hyperspectral Image Classification
1225. ICLR 2024Unknown Domain Inconsistency Minimization for Domain Generalization
1226. ICLR 2024Variance-aware Regret Bounds for Stochastic Contextual Dueling Bandits
1227. ICLR 2024Zero Bubble (Almost) Pipeline Parallelism
1228. ICML 2024A Universal Class of Sharpness-Aware Minimization Algorithms
1229. ICML 2024A2Q+: Improving Accumulator-Aware Weight Quantization
1230. ICML 2024ACE: Off-Policy Actor-Critic with Causality-Aware Entropy Regularization
1231. ICML 2024Ambiguity-Aware Abductive Learning
1232. ICML 2024AttnLRP: Attention-Aware Layer-Wise Relevance Propagation for Transformers
1233. ICML 2024Balancing Feature Similarity and Label Variability for Optimal Size-Aware One-shot Subset Selection
1234. ICML 2024Beyond the Federation: Topology-aware Federated Learning for Generalization to Unseen Clients
1235. ICML 2024Category-Aware Active Domain Adaptation
1236. ICML 2024Causal Action Influence Aware Counterfactual Data Augmentation
1237. ICML 2024Cluster-Aware Similarity Diffusion for Instance Retrieval
1238. ICML 2024Confidence Aware Inverse Constrained Reinforcement Learning
1239. ICML 2024Confidence-aware Contrastive Learning for Selective Classification
1240. ICML 2024Ditto: Quantization-aware Secure Inference of Transformers upon MPC
1241. ICML 2024Drug Discovery with Dynamic Goal-aware Fragments
1242. ICML 2024DsDm: Model-Aware Dataset Selection with Datamodels
1243. ICML 2024Efficient Precision and Recall Metrics for Assessing Generative Models using Hubness-aware Sampling
1244. ICML 2024Evaluation of LLMs on Syntax-Aware Code Fill-in-the-Middle Tasks
1245. ICML 2024Explaining Graph Neural Networks via Structure-aware Interaction Index
1246. ICML 2024Fast Peer Adaptation with Context-aware Exploration
1247. ICML 2024Gated Linear Attention Transformers with Hardware-Efficient Training
1248. ICML 2024Geometry-Aware Instrumental Variable Regression
1249. ICML 2024Hierarchical Neural Operator Transformer with Learnable Frequency-aware Loss Prior for Arbitrary-scale Super-resolution
1250. ICML 2024Improving Sharpness-Aware Minimization by Lookahead

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.