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

Papers per year

Papers per venue

Counts by year and venue

Hardware-Aware ML papers by year and venue
YearNeurIPSICLRICMLCVPRTotal
2023212327102173
202469455594263
2025120447287323
2026263120186196765

Representative papers

Spread across years and venues so every edition shows up

All Hardware-Aware ML papers

45 papers, page 1 of 1

  1. ICLR 2024A Symmetry-Aware Exploration of Bayesian Neural Network Posteriors
  2. ICLR 2024Active Retrosynthetic Planning Aware of Route Quality
  3. ICLR 2024Adaptive Sharpness-Aware Pruning for Robust Sparse Networks
  4. ICLR 2024Automatic Functional Differentiation in JAX
  5. ICLR 2024Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference
  6. ICLR 2024Context-Aware Meta-Learning
  7. ICLR 2024Coordinate-Aware Modulation for Neural Fields
  8. ICLR 2024Curriculum reinforcement learning for quantum architecture search under hardware errors
  9. ICLR 2024DAFA: Distance-Aware Fair Adversarial Training
  10. ICLR 2024Data Debugging with Shapley Importance over Machine Learning Pipelines
  11. ICLR 2024Data-independent Module-aware Pruning for Hierarchical Vision Transformers
  12. ICLR 2024DATS: Difficulty-Aware Task Sampler for Meta-Learning Physics-Informed Neural Networks
  13. ICLR 2024Denoising Diffusion Step-aware Models
  14. ICLR 2024Detecting Machine-Generated Texts by Multi-Population Aware Optimization for Maximum Mean Discrepancy
  15. ICLR 2024Discovering Temporally-Aware Reinforcement Learning Algorithms
  16. ICLR 2024Domain-Inspired Sharpness-Aware Minimization Under Domain Shifts
  17. ICLR 2024Efficient Sharpness-Aware Minimization for Molecular Graph Transformer Models
  18. ICLR 2024EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion Models
  19. ICLR 2024Entropy-MCMC: Sampling from Flat Basins with Ease
  20. ICLR 2024FedCDA: Federated Learning with Cross-rounds Divergence-aware Aggregation
  21. ICLR 2024FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices Using a Computing Power-Aware Scheduler
  22. ICLR 2024GAFormer: Enhancing Timeseries Transformers Through Group-Aware Embeddings
  23. ICLR 2024Geometry-Aware Projective Mapping for Unbounded Neural Radiance Fields
  24. ICLR 2024GTA: A Geometry-Aware Attention Mechanism for Multi-View Transformers
  25. ICLR 2024Harnessing Joint Rain-/Detail-aware Representations to Eliminate Intricate Rains
  26. ICLR 2024Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing
  27. ICLR 2024Incentive-Aware Federated Learning with Training-Time Model Rewards
  28. ICLR 2024Locality-Aware Graph Rewiring in GNNs
  29. ICLR 2024LoftQ: LoRA-Fine-Tuning-aware Quantization for Large Language Models
  30. ICLR 2024Multi-task Learning with 3D-Aware Regularization
  31. ICLR 2024Principled Architecture-aware Scaling of Hyperparameters
  32. ICLR 2024Protein-Ligand Interaction Prior for Binding-aware 3D Molecule Diffusion Models
  33. ICLR 2024QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models
  34. ICLR 2024SaNN: Simple Yet Powerful Simplicial-aware Neural Networks
  35. ICLR 2024SaProt: Protein Language Modeling with Structure-aware Vocabulary
  36. ICLR 2024Sharpness-Aware Data Poisoning Attack
  37. ICLR 2024Sharpness-Aware Minimization Enhances Feature Quality via Balanced Learning
  38. ICLR 2024Structural Fairness-aware Active Learning for Graph Neural Networks
  39. ICLR 2024Towards Cheaper Inference in Deep Networks with Lower Bit-Width Accumulators
  40. ICLR 2024TRAM: Bridging Trust Regions and Sharpness Aware Minimization
  41. ICLR 2024Uncertainty-aware Constraint Inference in Inverse Constrained Reinforcement Learning
  42. ICLR 2024Uncertainty-aware Graph-based Hyperspectral Image Classification
  43. ICLR 2024Unknown Domain Inconsistency Minimization for Domain Generalization
  44. ICLR 2024Variance-aware Regret Bounds for Stochastic Contextual Dueling Bandits
  45. 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.

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