Hardware-Aware ML papers, 2023–2026
Accelerators and compilation
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 1,524 papers are tagged with this topic.
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.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 21 | 23 | 27 | 102 | 173 |
| 2024 | 69 | 45 | 55 | 94 | 263 |
| 2025 | 120 | 44 | 72 | 87 | 323 |
| 2026 | 263 | 120 | 186 | 196 | 765 |
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
45 papers, page 1 of 1
- ICLR 2024A Symmetry-Aware Exploration of Bayesian Neural Network Posteriors
- ICLR 2024Active Retrosynthetic Planning Aware of Route Quality
- ICLR 2024Adaptive Sharpness-Aware Pruning for Robust Sparse Networks
- ICLR 2024Automatic Functional Differentiation in JAX
- ICLR 2024Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference
- ICLR 2024Context-Aware Meta-Learning
- ICLR 2024Coordinate-Aware Modulation for Neural Fields
- ICLR 2024Curriculum reinforcement learning for quantum architecture search under hardware errors
- ICLR 2024DAFA: Distance-Aware Fair Adversarial Training
- ICLR 2024Data Debugging with Shapley Importance over Machine Learning Pipelines
- ICLR 2024Data-independent Module-aware Pruning for Hierarchical Vision Transformers
- ICLR 2024DATS: Difficulty-Aware Task Sampler for Meta-Learning Physics-Informed Neural Networks
- ICLR 2024Denoising Diffusion Step-aware Models
- ICLR 2024Detecting Machine-Generated Texts by Multi-Population Aware Optimization for Maximum Mean Discrepancy
- ICLR 2024Discovering Temporally-Aware Reinforcement Learning Algorithms
- ICLR 2024Domain-Inspired Sharpness-Aware Minimization Under Domain Shifts
- ICLR 2024Efficient Sharpness-Aware Minimization for Molecular Graph Transformer Models
- ICLR 2024EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion Models
- ICLR 2024Entropy-MCMC: Sampling from Flat Basins with Ease
- ICLR 2024FedCDA: Federated Learning with Cross-rounds Divergence-aware Aggregation
- ICLR 2024FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices Using a Computing Power-Aware Scheduler
- ICLR 2024GAFormer: Enhancing Timeseries Transformers Through Group-Aware Embeddings
- ICLR 2024Geometry-Aware Projective Mapping for Unbounded Neural Radiance Fields
- ICLR 2024GTA: A Geometry-Aware Attention Mechanism for Multi-View Transformers
- ICLR 2024Harnessing Joint Rain-/Detail-aware Representations to Eliminate Intricate Rains
- ICLR 2024Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing
- ICLR 2024Incentive-Aware Federated Learning with Training-Time Model Rewards
- ICLR 2024Locality-Aware Graph Rewiring in GNNs
- ICLR 2024LoftQ: LoRA-Fine-Tuning-aware Quantization for Large Language Models
- ICLR 2024Multi-task Learning with 3D-Aware Regularization
- ICLR 2024Principled Architecture-aware Scaling of Hyperparameters
- ICLR 2024Protein-Ligand Interaction Prior for Binding-aware 3D Molecule Diffusion Models
- ICLR 2024QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models
- ICLR 2024SaNN: Simple Yet Powerful Simplicial-aware Neural Networks
- ICLR 2024SaProt: Protein Language Modeling with Structure-aware Vocabulary
- ICLR 2024Sharpness-Aware Data Poisoning Attack
- ICLR 2024Sharpness-Aware Minimization Enhances Feature Quality via Balanced Learning
- ICLR 2024Structural Fairness-aware Active Learning for Graph Neural Networks
- ICLR 2024Towards Cheaper Inference in Deep Networks with Lower Bit-Width Accumulators
- ICLR 2024TRAM: Bridging Trust Regions and Sharpness Aware Minimization
- ICLR 2024Uncertainty-aware Constraint Inference in Inverse Constrained Reinforcement Learning
- ICLR 2024Uncertainty-aware Graph-based Hyperspectral Image Classification
- ICLR 2024Unknown Domain Inconsistency Minimization for Domain Generalization
- ICLR 2024Variance-aware Regret Bounds for Stochastic Contextual Dueling Bandits
- ICLR 2024Zero Bubble (Almost) Pipeline Parallelism
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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.