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

72 papers, page 2 of 2

51. ICML 2025SAFER: A Calibrated Risk-Aware Multimodal Recommendation Model for Dynamic Treatment Regimes
52. ICML 2025Sassha: Sharpness-aware Adaptive Second-order Optimization with Stable Hessian Approximation
53. ICML 2025SCISSOR: Mitigating Semantic Bias through Cluster-Aware Siamese Networks for Robust Classification
54. ICML 2025Self-supervised Masked Graph Autoencoder via Structure-aware Curriculum
55. ICML 2025Sorbet: A Neuromorphic Hardware-Compatible Transformer-Based Spiking Language Model
56. ICML 2025Spectral-Aware Reservoir Computing for Fast and Accurate Time Series Classification
57. ICML 2025Splitting with Importance-aware Updating for Heterogeneous Federated Learning with Large Language Models
58. ICML 2025Symmetry-Aware GFlowNets
59. ICML 2025System-Aware Unlearning Algorithms: Use Lesser, Forget Faster
60. ICML 2025TANGO: Clustering with Typicality-Aware Nonlocal Mode-Seeking and Graph-Cut Optimization
61. ICML 2025Task-Aware Virtual Training: Enhancing Generalization in Meta-Reinforcement Learning for Out-of-Distribution Tasks
62. ICML 2025Temporal Distance-aware Transition Augmentation for Offline Model-based Reinforcement Learning
63. ICML 2025Thickness-aware E(3)-Equivariant 3D Mesh Neural Networks
64. ICML 2025Tightening Causal Bounds via Covariate-Aware Optimal Transport
65. ICML 2025Tilted Sharpness-Aware Minimization
66. ICML 2025Time-Aware World Model for Adaptive Prediction and Control
67. ICML 2025TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation
68. ICML 2025Topology-Aware Dynamic Reweighting for Distribution Shifts on Graph
69. ICML 2025Topology-aware Neural Flux Prediction Guided by Physics
70. ICML 2025Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and Beyond
71. ICML 2025UnHiPPO: Uncertainty-aware Initialization for State Space Models
72. ICML 2025Volume-Aware Distance for Robust Similarity Learning

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.