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

765 papers, page 8 of 16

351. ICML 2026DARTS: Distribution-Aware Active Rollout Trajectory Shaping for Accelerating LLM Reinforcement Learning
352. ICML 2026DAVE: Distribution-Aware Attribution via ViT Gradient Decomposition
353. ICML 2026DDSVM: A Differentiable Framework for Deep Support Vector Machines with Iterative Geometry-Aware Optimization
354. ICML 2026Deep Multi-view Graph Clustering via Attribute-aware Bidirectional Structural Refinement and Pseudo-label Guided Multi-level Fusion
355. ICML 2026Deep Scientific Reasoning under Physical Constraints: Structure-Aware Spectrum Prediction
356. ICML 2026Dependence-Aware Label Aggregation for LLM-as-a-Judge via Ising Models
357. ICML 2026Detecting Contextual Hallucinations in Large Language Models with Frequency-Aware Attention
358. ICML 2026Diversity-Aware Recursive Feature Multiple Kernel Learning
359. ICML 2026Diversity-aware Weight Perturbation Promotes Robust Adaptation
360. ICML 2026DMCO: Budget-Aware Co-Optimization of Data Cleaning and AutoML
361. ICML 2026Does a Hybrid Space-Aware Randomized Defense Improve Empirical and Certified Adversarial Robustness?
362. ICML 2026Domain-Shift-Aware Conformal Prediction for Large Language Models
363. ICML 2026DRL-STAF: A Deep Reinforcement Learning Framework for State-Aware Forecasting of Complex Multivariate Hidden Markov Processes
364. ICML 2026Dynamic TMoE: A Drift-Aware Dynamic Mixture of Experts Framework for Non-Stationary Time Series Forecasting
365. ICML 2026ECO: Quantized Training without Full-Precision Master Weights
366. ICML 2026Efficient and Uncertainty-Aware Diffusion Framework for Offline-to-Online Reinforcement Learning
367. ICML 2026Efficient Transformer Attention for SNNs via Hadamard Simplification
368. ICML 2026Enhancing Affine Maximizer Auctions with Correlation-Aware Payment
369. ICML 2026Entropy-aware Span-Constrained Optimal Transport for Robust Cross-Tokenizer Knowledge Distillation
370. ICML 2026Expected Returns and Policy Inconsistency-Aware Offline Federated Deep Reinforcement Learning
371. ICML 2026FAIR-Calib: Frontier-Aware Instability-Reweighted Calibration for Post-Training Quantization of Diffusion Large Language Models
372. ICML 2026Federated Graph Learning via Structure-Aware Fusion Using a Kalman Framework with Learnable Dynamics
373. ICML 2026FedQueue: Queue-Aware Federated Learning for Cross-Facility HPC Training
374. ICML 2026FlashSinkhorn: IO-Aware Entropic Optimal Transport on GPU
375. ICML 2026Forget by Uncertainty: Orthogonal Entropy Unlearning for Quantized Neural Networks
376. ICML 2026Forget to Know, Remember to Use: Context-Aware Unlearning for Large Language Models
377. ICML 2026Forget-It-All: Multi-Concept Machine Unlearning via Concept-Aware Neuron Masking
378. ICML 2026From Guessing to Placeholding: A Cost-Theoretic Framework for Uncertainty-Aware Code Completion
379. ICML 2026G-RANS: Generalizable Residual-Aware Neural Solvers for Sparse Systems
380. ICML 2026GeoDM: Geometry-aware Distribution Matching for Dataset Distillation
381. ICML 2026GeoEvo: Identity-Aware Potential Game with Geometric Evolution for Personalized Multimodal Federated Learning
382. ICML 2026Geometry-Aware Decoding with Wasserstein-Regularized Truncation and Mass Penalties for Large Language Models
383. ICML 2026Geometry-Aware Probabilistic Circuits via Voronoi Tessellations
384. ICML 2026GHOST: Unmasking Phantom States in Mamba2 via Grouped Hidden-state Output-aware Selection & Truncation
385. ICML 2026Gradient-Aware Scheduling: Coupling Curriculum and Staleness for Async Reinforcement Learning
386. ICML 2026Granularity-Aware Adaptive Classifier Expansion via Zero-Shot Learning
387. ICML 2026Grounding Functional Similarity by Invariance-Aware Model Stitching
388. ICML 2026H$^2$CL: Heterogeneity-Aware Hypergraph Contrastive Learning for Robust Representation Learning
389. ICML 2026HASTE: Hardware-Aware Dynamic Sparse Training for Large Output Spaces
390. ICML 2026HelioX: A GPU-Native Framework for Simulation and Training of Biophysically Detailed Networks
391. ICML 2026HIAL: Towards Semantics-Aware Hypergraph Active Learning via Dual-Perspective Information Maximization
392. ICML 2026HTAC: Hierarchical Task-Aware Composition for Continual Offline Reinforcement Learning
393. ICML 2026Hyper-LLaVA: Hyperbolic Uncertainty-aware Modality-Balanced Routing for Multimodal Continual Instruction Tuning
394. ICML 2026ImpQuant: Fine-Grained Importance-Aware Quantization for Large Vision-Language Models
395. ICML 2026Inconsistency-Aware Minimization: Improving Generalization with Unlabeled Data
396. ICML 2026Inference-Aware Meta-Alignment of LLMs via Non-Linear GRPO
397. ICML 2026KANFIS: A Neuro-Symbolic Framework for Interpretable and Uncertainty-Aware Learning
398. ICML 2026KernelBand: Steering LLM-based Kernel Optimization via Hardware-Aware Multi-Armed Bandits
399. ICML 2026KernelFoundry: Hardware-Aware Evolutionary GPU Kernel Optimization
400. ICML 2026LangPrecip: Language-Aware Multimodal Precipitation Nowcasting

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.