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

765 papers, page 15 of 16

701. NeurIPS 2026Risk-guided Estimation-aware Acceptance for Learning with Synthetic Data
702. NeurIPS 2026Robust Task-Aware State Estimation from Pre-trained Perception
703. NeurIPS 2026RoPEMover: Depth-Aware Object Relocation via Positional Embeddings
704. NeurIPS 2026RSPReg: Reliability-aware Structural Prototype Learning for Point Cloud Registration
705. NeurIPS 2026RubiConv - Efficient Boundary-Respecting Convolutions
706. NeurIPS 2026SAVE: Sparsity-Aware Influence Estimation for Vocabulary-Expanded LLMs
707. NeurIPS 2026ScaleBITS: Scalable Bitwidth Search for Hardware-Aligned Mixed-Precision LLMs
708. NeurIPS 2026ScreenSearch: Uncertainty-Aware OS Exploration
709. NeurIPS 2026Select Smarter, Not More? Prompt-Aware Evaluation Scheduling with Submodular Guarantees
710. NeurIPS 2026SemanticDialect: Semantic-Aware Mixed-Format Quantization for Video Diffusion Transformers
711. NeurIPS 2026Sharpness-Aware Hybrid Model Learning for Architecture-Agnostic Parameter Estimation
712. NeurIPS 2026Single-Pass Evidence Measurement for Interpretable and Uncertainty-Aware Multimodal Face Anti-Spoofing
713. NeurIPS 2026sMMC-22M: A Context-Aware Dataset and Benchmark for Single-Cell Spatial Transcriptomics
714. NeurIPS 2026SnapMLA: Efficient Long-Context MLA Decoding via Hardware-Aware FP8 Quantized Pipelining
715. NeurIPS 2026SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits
716. NeurIPS 2026SOLAR: AI-Powered Speed-of-Light Performance Analysis
717. NeurIPS 2026Solver-Aware Decompositions for Programming-by-Example: When Dividing Requires Knowing how to Conquer
718. NeurIPS 2026SP-CACW: Convergence-Aware Client Weighting for Selfish Personalized Learning
719. NeurIPS 2026SpectralKV: Redundancy-Aware KV Cache Compression via Spectral Coreset Selection
720. NeurIPS 2026SpRePE: A Spherical Geometry-Aware Position Embedding scheme for Vision Transformers
721. NeurIPS 2026SRL-MPC: Shape-Aware Reinforcement Learned Model Predictive Control
722. NeurIPS 2026Stability-Aware Self-Training for CLIP under Cross-Modal Anchoring Mismatch
723. NeurIPS 2026Stage-Aware Dual Alignment for Covariate Shift in Graph Domain Adaptation
724. NeurIPS 2026STAR: Boosting Time Series Foundation Models for Anomaly Detection Through State-Aware Adapter
725. NeurIPS 2026STParOpt: An End-to-End Framework for Execution-Aware Parallelism Inference and Optimized CUDA Migration
726. NeurIPS 2026StyleRoute: Diffusion Style Transfer via Regional Routing and Conflict-aware Projection
727. NeurIPS 2026TagBO: LLM-Driven Task-Aware Graph Bayesian Optimization for Scientific Discovery
728. NeurIPS 2026Tail-Risk-Aware Stackelberg Learning
729. NeurIPS 2026TanGCE: Manifold-Aware Concept Erasure
730. NeurIPS 2026TAPIOCA: Why Task- Aware Pruning Improves OOD model Capability
731. NeurIPS 2026Target-Aware Nuisance Shaping for Object Detection
732. NeurIPS 2026Task-Aware KV Cache Compression for LLM Agents via Utility-Driven Step Pruning
733. NeurIPS 2026The Quantization Benefits of Residual-Free Transformers
734. NeurIPS 2026The Quiet Prompt: Erasing Ineffable Styles from Diffusion Models via Concept Leakage-aware Negative Guidance
735. NeurIPS 2026The Sparsity Whisperer
736. NeurIPS 2026TIDE: Trajectory-Aware Watermark Propagation for Text-to-Image Diffusion Models
737. NeurIPS 2026Tight Gap-Dependent Regret Bounds and Problem-Independent Bounds for Cost-aware Cascading Bandits
738. NeurIPS 2026Topic-Aware Contextual Cascading Bandits
739. NeurIPS 2026Topology-Aware Representation Alignment for Semi-Supervised Vision-Language Learning
740. NeurIPS 2026Towards Better Generalization in Lifelong Person Re-Identification with Flatness-Aware Learning
741. NeurIPS 2026Towards Real-Time Full-Waveform LiDAR Transformers via Intensity-Guided Token Reduction and Physics-Aware Augmentation
742. NeurIPS 2026Towards Reliable VLM Judges: State-Conditional Invariance and Presentation-Aware Diagnostics
743. NeurIPS 2026Towards Scalable Context-Aware Single-Cell Spatial Transcriptomics Prediction from Histology Images
744. NeurIPS 2026TRACE: Structure-Aware Character Encoding for Robust and Generalizable Document Watermarking
745. NeurIPS 2026TRACE: Trajectory-Aware Conceps for Explainable Video Understanding
746. NeurIPS 2026Trie-Aware Transformers for Generative Recommendation
747. NeurIPS 2026TwinPrune: Density-Aware Two-Phase Token Pruning for Vision-Language Models
748. NeurIPS 2026Two Drifts, One Principle: Conflict-Aware Spectral Consolidation for Multimodal Continual Learning
749. NeurIPS 2026UECO: A Unified Encoder with Structure-Aware Attention Mixture via Iterative Edge Evolving for Neural Combinatorial Optimization
750. NeurIPS 2026Uncertainty-Aware Fuzzy Graph Contrastive 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.