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

473 papers, page 3 of 10

101. NeurIPS 2026Geometry-Aware Online Scheduling for LLM Serving: From Theoretical Bound to System Practice
102. NeurIPS 2026Geometry-Aware Optimal Transport: Fast Intrinsic Dimension and Wasserstein Distance Estimation
103. NeurIPS 2026Geometry-Aware Post-Hoc Uncertainty Quantification in Operator Learning
104. NeurIPS 2026Geometry-Aware Representation Denoising for Multi-view Image Restoration and 3D Reconstruction
105. NeurIPS 2026Geometry-Aware Score-Repellent Monte Carlo
106. NeurIPS 2026Geometry-Aware Self-Supervised Electrophysiology Representation Learning
107. NeurIPS 2026Geometry-Aware Similarity Metrics for Neural Representations on Riemannian and Statistical Manifolds
108. NeurIPS 2026Geometry-Aware Zeroth-Order Optimization for Fine-Tuning Quantized LLMs
109. NeurIPS 2026GeoSPRINT: Geometric Redundancy-Aware Step Pruning for Inference in Diffusion Trajectories
110. NeurIPS 2026GeoTransolver: Learning Physics on Irregular Domains using Multi-scale Geometry Aware Physics Attention Transformer
111. NeurIPS 2026GOLD: Geometric Optimized Latent Diffusion for Structure-Aware RNA Inverse Folding
112. NeurIPS 2026Graph Cascades: Contagion-Based Mesoscopic Rewiring for Structure-Aware Graph Machine Learning
113. NeurIPS 2026Graph-Enhanced Attribute-Aware Modeling for Cloth-Changing Person Re-Identification
114. NeurIPS 2026GRAPHLCP: Structure-Aware Localized Conformal Prediction on Graphs
115. NeurIPS 2026H2G: Hierarchy-Aware Hyperbolic Grouping for 3D Scenes
116. NeurIPS 2026HALO-VGGT: Heterogeneity-Aware Lightweight Online Compression Allocator for Efficient VGGT
117. NeurIPS 2026Hawkeye: Hardware-Aware GPU Kernel Optimization with Minimal Supervision
118. NeurIPS 2026HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning
119. NeurIPS 2026HESTIA: A Hessian-Guided Differentiable Quantization-Aware Training Framework for Extremely Low-Bit LLMs
120. NeurIPS 2026Heterogeneity-aware Distillation for Federated Continual Learning
121. NeurIPS 2026Heterogeneous Judge-Aware Ranking with Sensitivity, Disagreement, and Confidence
122. NeurIPS 2026History-Aware Conformal Prediction Sets for Censored Time-to-Event Outcomes
123. NeurIPS 2026HoTS: Homophily-Aware Temperature Scaling for Graph Neural Network Calibration
124. NeurIPS 2026HSCO-Bench: An Agent-Driven End-to-End Hardware-Software Co-design Benchmark for Systems-on-Chip
125. NeurIPS 2026Hybrid Neural World Models for Physical Dynamics
126. NeurIPS 2026Hydra-DP3: Frequency-Aware Right-Sizing of 3D Diffusion Policies for Visuomotor Control
127. NeurIPS 2026HyFAD: Hybrid Time-Frequency Diffusion with Frequency-Aware Embedding for Time Series Imputation
128. NeurIPS 2026Hyperbolic Concept Bottleneck Models
129. NeurIPS 2026Improved Sample Complexity for Markov Games via Variance-Aware Bandit Learning
130. NeurIPS 2026IMTS-Tokenizer: Time-Aware Tokenization for Irregular Multivariate Time Series Forecasting
131. NeurIPS 2026In-Context Learning for Remote Sensing Vision: A Semantic-Aware Rotation-Robust Diffusion Framework
132. NeurIPS 2026InfoSFT: Learn More and Forget Less with Information-Aware Token Weighting
133. NeurIPS 2026Inner Product Aware Quantization: Provably Fast, Accurate, and Adaptive Algorithms
134. NeurIPS 2026InQuant: In-Place Mixed-Precision KV Cache Quantization via Saliency-Aware Neighbor-Slot Reuse
135. NeurIPS 2026Integrating Strengths of Different Multi-Agent Workflows via Step-Aware Hybrid Topology Planning
136. NeurIPS 2026Is Agentic AI Ready for Real-World Hardware Engineering? A Deep Dive with Phoenix-bench
137. NeurIPS 2026LEGO: Sizing Rules for Budget-Aware Dense-to-MoE Conversion of Vision-Language Models
138. NeurIPS 2026Less Evidence, Better Answering: Gain-Aware Minimal Evidence Subset Selection for Medical QA
139. NeurIPS 2026Localized Dynamics-Aware Domain Adaption for Off-Dynamics Offline Reinforcement Learning
140. NeurIPS 2026LOCO: Local Light-Aware Object Compositing with Spatially Varying Illumination-Augmented Data
141. NeurIPS 2026LOFT: Low-Rank Orthogonal Fine-Tuning via Task-Aware Support Selection
142. NeurIPS 2026LongScape: Advancing Long-Horizon Embodied World Models with Context-Aware MoE
143. NeurIPS 2026MAdam: Metric-Aware Multi-Objective Adam
144. NeurIPS 2026Majority Bit-Aware Watermarking for Large Language Models
145. NeurIPS 2026Matrix Recovery Via Symmetric Rank-one Measurements With Random Unit-modulus Vectors
146. NeurIPS 2026Mental Health AI Must Move Beyond Diagnostic Prediction and Chat-Based Support: Toward Perspective-Aware, Multisensory Co-Experience
147. NeurIPS 2026META-PAP: Meta-learning for Prompt-aware Preference Pairing in LLM Alignment
148. NeurIPS 2026Minimizing Modality Gap from the Input Side: Your Speech LLM Can Be a Prosody-Aware Text LLM
149. NeurIPS 2026MOBO-CAPS: Multi-objective Bayesian Optimization with Cardinality-Aware Pareto Selection
150. NeurIPS 2026Modality-Aware Expert Pruning for MoE-Based Multimodal Large Language Models

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.