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

120 papers, page 1 of 3

1. NeurIPS 20254D3R: Motion-Aware Neural Reconstruction and Rendering of Dynamic Scenes from Monocular Videos
2. NeurIPS 2025A Unified Stability Analysis of SAM vs SGD: Role of Data Coherence and Emergence of Simplicity Bias
3. NeurIPS 2025AcuRank: Uncertainty-Aware Adaptive Computation for Listwise Reranking
4. NeurIPS 2025Adversary Aware Optimization for Robust Defense
5. NeurIPS 2025Aligning by Misaligning: Boundary-aware Curriculum Learning for Multimodal Alignment
6. NeurIPS 2025Availability-aware Sensor Fusion via Unified Canonical Space
7. NeurIPS 2025Boundary-Value PDEs Meet Higher-Order Differential Topology-aware GNNs
8. NeurIPS 2025C$^2$Prompt: Class-aware Client Knowledge Interaction for Federated Continual Learning
9. NeurIPS 2025CAGE: Continuity-Aware edGE Network Unlocks Robust Floorplan Reconstruction
10. NeurIPS 2025CAMO: Convergence-Aware Multi-Fidelity Bayesian Optimization
11. NeurIPS 2025CAR-Flow: Condition-Aware Reparameterization Aligns Source and Target for Better Flow Matching
12. NeurIPS 2025CATransformers: Carbon Aware Transformers Through Joint Model-Hardware Optimization
13. NeurIPS 2025CCL: Causal-aware In-context Learning for Out-of-Distribution Generalization
14. NeurIPS 2025Chirality in Action: Time-Aware Video Representation Learning by Latent Straightening
15. NeurIPS 2025Confidence-Aware With Prototype Alignment for Partial Multi-label Learning
16. NeurIPS 2025Conflict-Aware Knowledge Editing in the Wild: Semantic-Augmented Graph Representation for Unstructured Text
17. NeurIPS 2025Context-Aware Hierarchical Learning: A Two-Step Paradigm towards Safer LLMs
18. NeurIPS 2025Context-Aware Regularization with Markovian Integration for Attention-Based Nucleotide Analysis
19. NeurIPS 2025ContextAgent: Context-Aware Proactive LLM Agents with Open-world Sensory Perceptions
20. NeurIPS 2025ConTextTab: A Semantics-Aware Tabular In-Context Learner
21. NeurIPS 2025Cost-Aware Contrastive Routing for LLMs
22. NeurIPS 2025Cost-aware LLM-based Online Dataset Annotation
23. NeurIPS 2025Cost-Efficient LLM Training with Lifetime-Aware Tensor Offloading via GPUDirect Storage
24. NeurIPS 2025DAAC: Discrepancy-Aware Adaptive Contrastive Learning for Medical Time series
25. NeurIPS 2025DeepVideo-R1: Video Reinforcement Fine-Tuning via Difficulty-aware Regressive GRPO
26. NeurIPS 2025Degradation-Aware Dynamic Schrödinger Bridge for Unpaired Image Restoration
27. NeurIPS 2025Distribution-Aware Tensor Decomposition for Compression of Convolutional Neural Networks
28. NeurIPS 2025Diversity-Aware Policy Optimization for Large Language Model Reasoning
29. NeurIPS 2025DuoGPT: Training-free Dual Sparsity through Activation-aware Pruning in LLMs
30. NeurIPS 2025Dynamic Semantic-Aware Correlation Modeling for UAV Tracking
31. NeurIPS 2025Efficient Hybrid Language Model Compression through Group-Aware SSM Pruning
32. NeurIPS 2025Efficient Pre-Training of LLMs via Topology-Aware Communication Alignment on More Than 9600 GPUs
33. NeurIPS 2025Efficient Representativeness-Aware Coreset Selection
34. NeurIPS 2025ElasticMM: Efficient Multimodal LLMs Serving with Elastic Multimodal Parallelism
35. NeurIPS 2025Energy Landscape-Aware Vision Transformers: Layerwise Dynamics and Adaptive Task-Specific Training via Hopfield States
36. NeurIPS 2025Exploiting Task Relationships in Continual Learning via Transferability-Aware Task Embeddings
37. NeurIPS 2025FANS: A Flatness-Aware Network Structure for Generalization in Offline Reinforcement Learning
38. NeurIPS 2025Feasibility-Aware Decision-Focused Learning for Predicting Parameters in the Constraints
39. NeurIPS 2025Feature-aware Modulation for Learning from Temporal Tabular Data
40. NeurIPS 2025FedWMSAM: Fast and Flat Federated Learning via Weighted Momentum and Sharpness-Aware Minimization
41. NeurIPS 2025Feedback-Aware MCTS for Goal-Oriented Information Seeking
42. NeurIPS 2025Flash Invariant Point Attention
43. NeurIPS 2025FreqExit: Enabling Early-Exit Inference for Visual Autoregressive Models via Frequency-Aware Guidance
44. NeurIPS 2025Geo-Sign: Hyperbolic Contrastive Regularisation for Geometrically Aware Sign Language Translation
45. NeurIPS 2025GeoComplete: Geometry-Aware Diffusion for Reference-Driven Image Completion
46. NeurIPS 2025Geometry Aware Operator Transformer as an efficient and accurate neural surrogate for PDEs on arbitrary domains
47. NeurIPS 2025Geometry-Aware Edge Pooling for Graph Neural Networks
48. NeurIPS 2025GOATex: Geometry & Occlusion-Aware Texturing
49. NeurIPS 2025HOComp: Interaction-Aware Human-Object Composition
50. NeurIPS 2025Improving Model-Based Reinforcement Learning by Converging to Flatter Minima

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.