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

323 papers, page 3 of 7

101. ICLR 2025Geometry-aware RL for Manipulation of Varying Shapes and Deformable Objects
102. ICLR 2025Going Beyond Feature Similarity: Effective Dataset distillation based on Class-aware Conditional Mutual Information
103. ICLR 2025Inference-Aware Fine-Tuning for Best-of-N Sampling in Large Language Models
104. ICLR 2025KooNPro: A Variance-Aware Koopman Probabilistic Model Enhanced by Neural Process for Time Series Forecasting
105. ICLR 2025LeanQuant: Accurate and Scalable Large Language Model Quantization with Loss-error-aware Grid
106. ICLR 2025MaxCutPool: differentiable feature-aware Maxcut for pooling in graph neural networks
107. ICLR 2025Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning
108. ICLR 2025Multiplicative Logit Adjustment Approximates Neural-Collapse-Aware Decision Boundary Adjustment
109. ICLR 2025NExUME: Adaptive Training and Inference for DNNs under Intermittent Power Environments
110. ICLR 2025OATS: Outlier-Aware Pruning Through Sparse and Low Rank Decomposition
111. ICLR 2025OCCAM: Towards Cost-Efficient and Accuracy-Aware Classification Inference
112. ICLR 2025PolaFormer: Polarity-aware Linear Attention for Vision Transformers
113. ICLR 2025Privacy-Aware Lifelong Learning
114. ICLR 2025Ranking-aware adapter for text-driven image ordering with CLIP
115. ICLR 2025Relation-Aware Diffusion for Heterogeneous Graphs with Partially Observed Features
116. ICLR 2025Rethinking the generalization of drug target affinity prediction algorithms via similarity aware evaluation
117. ICLR 2025SaMer: A Scenario-aware Multi-dimensional Evaluator for Large Language Models
118. ICLR 2025Scale-aware Recognition in Satellite Images under Resource Constraints
119. ICLR 2025Second Order Bounds for Contextual Bandits with Function Approximation
120. ICLR 2025Semantic Aware Representation Learning for Lifelong Learning
121. ICLR 2025Sharpness-Aware Minimization Efficiently Selects Flatter Minima Late In Training
122. ICLR 2025SPAM: Spike-Aware Adam with Momentum Reset for Stable LLM Training
123. ICLR 2025Spatial-Mamba: Effective Visual State Space Models via Structure-Aware State Fusion
124. ICLR 2025Stochastic Semi-Gradient Descent for Learning Mean Field Games with Population-Aware Function Approximation
125. ICLR 2025Subtask-Aware Visual Reward Learning from Segmented Demonstrations
126. ICLR 2025SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression
127. ICLR 2025SynQ: Accurate Zero-shot Quantization by Synthesis-aware Fine-tuning
128. ICLR 2025TD-Paint: Faster Diffusion Inpainting Through Time-Aware Pixel Conditioning
129. ICLR 2025TopoDiffusionNet: A Topology-aware Diffusion Model
130. ICLR 2025Uncertainty-Aware Decoding with Minimum Bayes Risk
131. ICLR 2025Utility-Directed Conformal Prediction: A Decision-Aware Framework for Actionable Uncertainty Quantification
132. ICML 2025$\texttt{I$^2$MoE}$: Interpretable Multimodal Interaction-aware Mixture-of-Experts
133. ICML 2025Accelerating Linear Recurrent Neural Networks for the Edge with Unstructured Sparsity
134. ICML 2025An Augmentation-Aware Theory for Self-Supervised Contrastive Learning
135. ICML 2025Avoiding spurious sharpness minimization broadens applicability of SAM
136. ICML 2025BAME: Block-Aware Mask Evolution for Efficient N:M Sparse Training
137. ICML 2025BoA: Attention-aware Post-training Quantization without Backpropagation
138. ICML 2025CABS: Conflict-Aware and Balanced Sparsification for Enhancing Model Merging
139. ICML 2025Calibrated Value-Aware Model Learning with Probabilistic Environment Models
140. ICML 2025Causal Invariance-aware Augmentation for Brain Graph Contrastive Learning
141. ICML 2025Causality-Aware Contrastive Learning for Robust Multivariate Time-Series Anomaly Detection
142. ICML 2025COGNATE: Acceleration of Sparse Tensor Programs on Emerging Hardware using Transfer Learning
143. ICML 2025Context Matters: Query-aware Dynamic Long Sequence Modeling of Gigapixel Images
144. ICML 2025Core Context Aware Transformers for Long Context Language Modeling
145. ICML 2025Curvature-aware Graph Attention for PDEs on Manifolds
146. ICML 2025DA-KD: Difficulty-Aware Knowledge Distillation for Efficient Large Language Models
147. ICML 2025Decision-aware Training of Spatiotemporal Forecasting Models to Select a Top-K Subset of Sites for Intervention
148. ICML 2025DocVXQA: Context-Aware Visual Explanations for Document Question Answering
149. ICML 2025Dynamic Sparse Training of Diagonally Sparse Networks
150. ICML 2025EARTH: Epidemiology-Aware Neural ODE with Continuous Disease Transmission Graph

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.