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 21 of 31

1001. NeurIPS 2025Efficient Representativeness-Aware Coreset Selection
1002. NeurIPS 2025ElasticMM: Efficient Multimodal LLMs Serving with Elastic Multimodal Parallelism
1003. NeurIPS 2025Energy Landscape-Aware Vision Transformers: Layerwise Dynamics and Adaptive Task-Specific Training via Hopfield States
1004. NeurIPS 2025Exploiting Task Relationships in Continual Learning via Transferability-Aware Task Embeddings
1005. NeurIPS 2025FANS: A Flatness-Aware Network Structure for Generalization in Offline Reinforcement Learning
1006. NeurIPS 2025Feasibility-Aware Decision-Focused Learning for Predicting Parameters in the Constraints
1007. NeurIPS 2025Feature-aware Modulation for Learning from Temporal Tabular Data
1008. NeurIPS 2025FedWMSAM: Fast and Flat Federated Learning via Weighted Momentum and Sharpness-Aware Minimization
1009. NeurIPS 2025Feedback-Aware MCTS for Goal-Oriented Information Seeking
1010. NeurIPS 2025Flash Invariant Point Attention
1011. NeurIPS 2025FreqExit: Enabling Early-Exit Inference for Visual Autoregressive Models via Frequency-Aware Guidance
1012. NeurIPS 2025Geo-Sign: Hyperbolic Contrastive Regularisation for Geometrically Aware Sign Language Translation
1013. NeurIPS 2025GeoComplete: Geometry-Aware Diffusion for Reference-Driven Image Completion
1014. NeurIPS 2025Geometry Aware Operator Transformer as an efficient and accurate neural surrogate for PDEs on arbitrary domains
1015. NeurIPS 2025Geometry-Aware Edge Pooling for Graph Neural Networks
1016. NeurIPS 2025GOATex: Geometry & Occlusion-Aware Texturing
1017. NeurIPS 2025HOComp: Interaction-Aware Human-Object Composition
1018. NeurIPS 2025Improving Model-Based Reinforcement Learning by Converging to Flatter Minima
1019. NeurIPS 2025Improving the Straight-Through Estimator with Zeroth-Order Information
1020. NeurIPS 2025Improving Time Series Forecasting via Instance-aware Post-hoc Revision
1021. NeurIPS 2025Intrinsic Benefits of Categorical Distributional Loss: Uncertainty-aware Regularized Exploration in Reinforcement Learning
1022. NeurIPS 2025Jet-Nemotron: Efficient Language Model with Post Neural Architecture Search
1023. NeurIPS 2025Learning from Demonstrations via Capability-Aware Goal Sampling
1024. NeurIPS 2025Learning Spatial-Aware Manipulation Ordering
1025. NeurIPS 2025LVLM-Driven Attribute-Aware Modeling for Visible-Infrared Person Re-Identification
1026. NeurIPS 2025MARS: A Malignity-Aware Backdoor Defense in Federated Learning
1027. NeurIPS 2025Mitigating Hallucination in VideoLLMs via Temporal-Aware Activation Engineering
1028. NeurIPS 2025MLLMs Need 3D-Aware Representation Supervision for Scene Understanding
1029. NeurIPS 2025Modality-Aware SAM: Sharpness-Aware-Minimization Driven Gradient Modulation for Harmonized Multimodal Learning
1030. NeurIPS 2025Momentum-SAM: Sharpness Aware Minimization without Computational Overhead
1031. NeurIPS 2025MonarchAttention: Zero-Shot Conversion to Fast, Hardware-Aware Structured Attention
1032. NeurIPS 2025Noisy Multi-Label Learning through Co-Occurrence-Aware Diffusion
1033. NeurIPS 2025Option-aware Temporally Abstracted Value for Offline Goal-Conditioned Reinforcement Learning
1034. NeurIPS 2025Out-of-Distribution Generalized Graph Anomaly Detection with Homophily-aware Environment Mixup
1035. NeurIPS 2025PDEfuncta: Spectrally-Aware Neural Representation for PDE Solution Modeling
1036. NeurIPS 2025Planning and Learning in Average Risk-aware MDPs
1037. NeurIPS 2025Precise Asymptotics and Refined Regret of Variance-Aware UCB
1038. NeurIPS 2025Predicting Functional Brain Connectivity with Context-Aware Deep Neural Networks
1039. NeurIPS 2025QiMeng-SALV: Signal-Aware Learning for Verilog Code Generation
1040. NeurIPS 2025R-KV: Redundancy-aware KV Cache Compression for Reasoning Models
1041. NeurIPS 2025Restricted Global-Aware Graph Filters Bridging GNNs and Transformer for Node Classification
1042. NeurIPS 2025Rethinking Scale-Aware Temporal Encoding for Event-based Object Detection
1043. NeurIPS 2025Reward-Aware Proto-Representations in Reinforcement Learning
1044. NeurIPS 2025Risk-aware Direct Preference Optimization under Nested Risk Measure
1045. NeurIPS 2025Robust and Computation-Aware Gaussian Processes
1046. NeurIPS 2025Robust Hyperbolic Learning with Curvature-Aware Optimization
1047. NeurIPS 2025RSAVQ: Riemannian Sensitivity-Aware Vector Quantization for Large Language Models
1048. NeurIPS 2025SAINT: Sequence-Aware Integration for Spatial Transcriptomics Multi-View Clustering
1049. NeurIPS 2025Salient Concept-Aware Generative Data Augmentation
1050. NeurIPS 2025SALoM: Structure Aware Temporal Graph Networks with Long-Short Memory Updater

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.