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 4 of 5

151. ICLR 2025Scale-aware Recognition in Satellite Images under Resource Constraints
152. ICLR 2025Second Order Bounds for Contextual Bandits with Function Approximation
153. ICLR 2025Semantic Aware Representation Learning for Lifelong Learning
154. ICLR 2025Sharpness-Aware Minimization Efficiently Selects Flatter Minima Late In Training
155. ICLR 2025SPAM: Spike-Aware Adam with Momentum Reset for Stable LLM Training
156. ICLR 2025Spatial-Mamba: Effective Visual State Space Models via Structure-Aware State Fusion
157. ICLR 2025Stochastic Semi-Gradient Descent for Learning Mean Field Games with Population-Aware Function Approximation
158. ICLR 2025Subtask-Aware Visual Reward Learning from Segmented Demonstrations
159. ICLR 2025SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression
160. ICLR 2025SynQ: Accurate Zero-shot Quantization by Synthesis-aware Fine-tuning
161. ICLR 2025TD-Paint: Faster Diffusion Inpainting Through Time-Aware Pixel Conditioning
162. ICLR 2025TopoDiffusionNet: A Topology-aware Diffusion Model
163. ICLR 2025Uncertainty-Aware Decoding with Minimum Bayes Risk
164. ICLR 2025Utility-Directed Conformal Prediction: A Decision-Aware Framework for Actionable Uncertainty Quantification
165. ICLR 2024A Symmetry-Aware Exploration of Bayesian Neural Network Posteriors
166. ICLR 2024Active Retrosynthetic Planning Aware of Route Quality
167. ICLR 2024Adaptive Sharpness-Aware Pruning for Robust Sparse Networks
168. ICLR 2024Automatic Functional Differentiation in JAX
169. ICLR 2024Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference
170. ICLR 2024Context-Aware Meta-Learning
171. ICLR 2024Coordinate-Aware Modulation for Neural Fields
172. ICLR 2024Curriculum reinforcement learning for quantum architecture search under hardware errors
173. ICLR 2024DAFA: Distance-Aware Fair Adversarial Training
174. ICLR 2024Data Debugging with Shapley Importance over Machine Learning Pipelines
175. ICLR 2024Data-independent Module-aware Pruning for Hierarchical Vision Transformers
176. ICLR 2024DATS: Difficulty-Aware Task Sampler for Meta-Learning Physics-Informed Neural Networks
177. ICLR 2024Denoising Diffusion Step-aware Models
178. ICLR 2024Detecting Machine-Generated Texts by Multi-Population Aware Optimization for Maximum Mean Discrepancy
179. ICLR 2024Discovering Temporally-Aware Reinforcement Learning Algorithms
180. ICLR 2024Domain-Inspired Sharpness-Aware Minimization Under Domain Shifts
181. ICLR 2024Efficient Sharpness-Aware Minimization for Molecular Graph Transformer Models
182. ICLR 2024EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion Models
183. ICLR 2024Entropy-MCMC: Sampling from Flat Basins with Ease
184. ICLR 2024FedCDA: Federated Learning with Cross-rounds Divergence-aware Aggregation
185. ICLR 2024FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices Using a Computing Power-Aware Scheduler
186. ICLR 2024GAFormer: Enhancing Timeseries Transformers Through Group-Aware Embeddings
187. ICLR 2024Geometry-Aware Projective Mapping for Unbounded Neural Radiance Fields
188. ICLR 2024GTA: A Geometry-Aware Attention Mechanism for Multi-View Transformers
189. ICLR 2024Harnessing Joint Rain-/Detail-aware Representations to Eliminate Intricate Rains
190. ICLR 2024Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing
191. ICLR 2024Incentive-Aware Federated Learning with Training-Time Model Rewards
192. ICLR 2024Locality-Aware Graph Rewiring in GNNs
193. ICLR 2024LoftQ: LoRA-Fine-Tuning-aware Quantization for Large Language Models
194. ICLR 2024Multi-task Learning with 3D-Aware Regularization
195. ICLR 2024Principled Architecture-aware Scaling of Hyperparameters
196. ICLR 2024Protein-Ligand Interaction Prior for Binding-aware 3D Molecule Diffusion Models
197. ICLR 2024QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models
198. ICLR 2024SaNN: Simple Yet Powerful Simplicial-aware Neural Networks
199. ICLR 2024SaProt: Protein Language Modeling with Structure-aware Vocabulary
200. ICLR 2024Sharpness-Aware Data Poisoning Attack

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.