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 20 of 31

951. ICML 2025Sorbet: A Neuromorphic Hardware-Compatible Transformer-Based Spiking Language Model
952. ICML 2025Spectral-Aware Reservoir Computing for Fast and Accurate Time Series Classification
953. ICML 2025Splitting with Importance-aware Updating for Heterogeneous Federated Learning with Large Language Models
954. ICML 2025Symmetry-Aware GFlowNets
955. ICML 2025System-Aware Unlearning Algorithms: Use Lesser, Forget Faster
956. ICML 2025TANGO: Clustering with Typicality-Aware Nonlocal Mode-Seeking and Graph-Cut Optimization
957. ICML 2025Task-Aware Virtual Training: Enhancing Generalization in Meta-Reinforcement Learning for Out-of-Distribution Tasks
958. ICML 2025Temporal Distance-aware Transition Augmentation for Offline Model-based Reinforcement Learning
959. ICML 2025Thickness-aware E(3)-Equivariant 3D Mesh Neural Networks
960. ICML 2025Tightening Causal Bounds via Covariate-Aware Optimal Transport
961. ICML 2025Tilted Sharpness-Aware Minimization
962. ICML 2025Time-Aware World Model for Adaptive Prediction and Control
963. ICML 2025TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation
964. ICML 2025Topology-Aware Dynamic Reweighting for Distribution Shifts on Graph
965. ICML 2025Topology-aware Neural Flux Prediction Guided by Physics
966. ICML 2025Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and Beyond
967. ICML 2025UnHiPPO: Uncertainty-aware Initialization for State Space Models
968. ICML 2025Volume-Aware Distance for Robust Similarity Learning
969. NeurIPS 20254D3R: Motion-Aware Neural Reconstruction and Rendering of Dynamic Scenes from Monocular Videos
970. NeurIPS 2025A Unified Stability Analysis of SAM vs SGD: Role of Data Coherence and Emergence of Simplicity Bias
971. NeurIPS 2025AcuRank: Uncertainty-Aware Adaptive Computation for Listwise Reranking
972. NeurIPS 2025Adversary Aware Optimization for Robust Defense
973. NeurIPS 2025Aligning by Misaligning: Boundary-aware Curriculum Learning for Multimodal Alignment
974. NeurIPS 2025Availability-aware Sensor Fusion via Unified Canonical Space
975. NeurIPS 2025Boundary-Value PDEs Meet Higher-Order Differential Topology-aware GNNs
976. NeurIPS 2025C$^2$Prompt: Class-aware Client Knowledge Interaction for Federated Continual Learning
977. NeurIPS 2025CAGE: Continuity-Aware edGE Network Unlocks Robust Floorplan Reconstruction
978. NeurIPS 2025CAMO: Convergence-Aware Multi-Fidelity Bayesian Optimization
979. NeurIPS 2025CAR-Flow: Condition-Aware Reparameterization Aligns Source and Target for Better Flow Matching
980. NeurIPS 2025CATransformers: Carbon Aware Transformers Through Joint Model-Hardware Optimization
981. NeurIPS 2025CCL: Causal-aware In-context Learning for Out-of-Distribution Generalization
982. NeurIPS 2025Chirality in Action: Time-Aware Video Representation Learning by Latent Straightening
983. NeurIPS 2025Confidence-Aware With Prototype Alignment for Partial Multi-label Learning
984. NeurIPS 2025Conflict-Aware Knowledge Editing in the Wild: Semantic-Augmented Graph Representation for Unstructured Text
985. NeurIPS 2025Context-Aware Hierarchical Learning: A Two-Step Paradigm towards Safer LLMs
986. NeurIPS 2025Context-Aware Regularization with Markovian Integration for Attention-Based Nucleotide Analysis
987. NeurIPS 2025ContextAgent: Context-Aware Proactive LLM Agents with Open-world Sensory Perceptions
988. NeurIPS 2025ConTextTab: A Semantics-Aware Tabular In-Context Learner
989. NeurIPS 2025Cost-Aware Contrastive Routing for LLMs
990. NeurIPS 2025Cost-aware LLM-based Online Dataset Annotation
991. NeurIPS 2025Cost-Efficient LLM Training with Lifetime-Aware Tensor Offloading via GPUDirect Storage
992. NeurIPS 2025DAAC: Discrepancy-Aware Adaptive Contrastive Learning for Medical Time series
993. NeurIPS 2025DeepVideo-R1: Video Reinforcement Fine-Tuning via Difficulty-aware Regressive GRPO
994. NeurIPS 2025Degradation-Aware Dynamic Schrödinger Bridge for Unpaired Image Restoration
995. NeurIPS 2025Distribution-Aware Tensor Decomposition for Compression of Convolutional Neural Networks
996. NeurIPS 2025Diversity-Aware Policy Optimization for Large Language Model Reasoning
997. NeurIPS 2025DuoGPT: Training-free Dual Sparsity through Activation-aware Pruning in LLMs
998. NeurIPS 2025Dynamic Semantic-Aware Correlation Modeling for UAV Tracking
999. NeurIPS 2025Efficient Hybrid Language Model Compression through Group-Aware SSM Pruning
1000. NeurIPS 2025Efficient Pre-Training of LLMs via Topology-Aware Communication Alignment on More Than 9600 GPUs

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.