Adaptive Methods papers, 2023–2026

Key findings

• Adaptive Methods went from 143 papers in 2023 to 410 in 2026, roughly 2.9x in three years.
• NeurIPS publishes the most Adaptive Methods work: 365 papers from 2023 to 2026, 36% of the four-venue total.
• The fastest-growing overlap is with Theory · optimization: papers tagged with both rose from 1 in 2023 to 29 in 2026.
• Among the 5 topics under Optimization and Scaling, it ranks #3 by 2026 paper count; the fastest grower in the group, Scaling Laws, is up 4.1x versus 2.9x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026AcceleGrad#: Adaptive Geometry-Aware Acceleration
• ICML 2026Adaptive Bandit Algorithms for Contextual Matching Markets
• ICLR 2026Adaptive Width Neural Networks
• CVPR 2026Active Inference for Micro-Gesture Recognition EFE-Guided Temporal Sampling and Adaptive
• NeurIPS 2025AC-DiT: Adaptive Coordination Diffusion Transformer for Mobile Manipulation
• ICML 2025Adaptive Data Collection for Robust Learning Across Multiple Distributions
• ICLR 2025Adaptive Length Image Tokenization via Recurrent Allocation
• CVPR 2025A Universal Scale-Adaptive Deformable Transformer for Image Restoration across Diverse Artifacts
• NeurIPS 2024Semi-Discrete Optimal Transport: Nearly Minimax Estimation With Stochastic Gradient Descent and Adaptive Entropic Regularization
• ICML 2024A New Linear Scaling Rule for Private Adaptive Hyperparameter Optimization
• ICLR 2024Learning Adaptive Multiresolution Transforms via Meta-Framelet-based Graph Convolutional Network
• CVPR 2024HybridNeRF: Efficient Neural Rendering via Adaptive Volumetric Surfaces
• NeurIPS 2023A Bounded Ability Estimation for Computerized Adaptive Testing
• ICML 2023A/B Testing in Network Data with Covariate-Adaptive Randomization
• ICLR 2023An Adaptive Policy to Employ Sharpness-Aware Minimization
• CVPR 2023Adaptive Annealing for Robust Geometric Estimation
• NeurIPS 2026AdapMatch: Adaptive Bias Decoupling for Semi-Supervised Partial Label Learning under Unknown Class Distributions
• ICML 2026Adaptive Batch Sizes Using Non-Euclidean Gradient Noise Scales for Stochastic Sign and Spectral Descent
• ICLR 2026ARMOR: High-Performance Semi-Structured Pruning via Adaptive Matrix Factorization
• CVPR 2026Adaptive Learned Image Compression with Graph Neural Networks

All Adaptive Methods papers

64 papers, page 1 of 2

1. NeurIPS 2024A PID Controller Approach for Adaptive Probability-dependent Gradient Decay in Model Calibration
2. NeurIPS 2024Ada-MSHyper: Adaptive Multi-Scale Hypergraph Transformer for Time Series Forecasting
3. NeurIPS 2024AdaFlow: Imitation Learning with Variance-Adaptive Flow-Based Policies
4. NeurIPS 2024Adaptive $Q$-Aid for Conditional Supervised Learning in Offline Reinforcement Learning
5. NeurIPS 2024Adaptive and Optimal Second-order Optimistic Methods for Minimax Optimization
6. NeurIPS 2024Adaptive Depth Networks with Skippable Sub-Paths
7. NeurIPS 2024Adaptive Experimentation When You Can't Experiment
8. NeurIPS 2024Adaptive Important Region Selection with Reinforced Hierarchical Search for Dense Object Detection
9. NeurIPS 2024Adaptive Layer Sparsity for Large Language Models via Activation Correlation Assessment
10. NeurIPS 2024Adaptive Passive-Aggressive Framework for Online Regression with Side Information
11. NeurIPS 2024Adaptive Preference Scaling for Reinforcement Learning with Human Feedback
12. NeurIPS 2024Adaptive Proximal Gradient Method for Convex Optimization
13. NeurIPS 2024Adaptive Sampling for Efficient Softmax Approximation
14. NeurIPS 2024Adaptive Variance Reduction for Stochastic Optimization under Weaker Assumptions
15. NeurIPS 2024ADOPT: Modified Adam Can Converge with Any $\beta_2$ with the Optimal Rate
16. NeurIPS 2024An Adaptive Approach for Infinitely Many-armed Bandits under Generalized Rotting Constraints
17. NeurIPS 2024ANT: Adaptive Noise Schedule for Time Series Diffusion Models
18. NeurIPS 2024Boosting Generalization in Parametric PDE Neural Solvers through Adaptive Conditioning
19. NeurIPS 2024CLAVE: An Adaptive Framework for Evaluating Values of LLM Generated Responses
20. NeurIPS 2024Cluster-Learngene: Inheriting Adaptive Clusters for Vision Transformers
21. NeurIPS 2024Clustering with Non-adaptive Subset Queries
22. NeurIPS 2024CoMERA: Computing- and Memory-Efficient Training via Rank-Adaptive Tensor Optimization
23. NeurIPS 2024Computerized Adaptive Testing via Collaborative Ranking
24. NeurIPS 2024Constrained Adaptive Attack: Effective Adversarial Attack Against Deep Neural Networks for Tabular Data
25. NeurIPS 2024D-LLM: A Token Adaptive Computing Resource Allocation Strategy for Large Language Models
26. NeurIPS 2024DAPE: Data-Adaptive Positional Encoding for Length Extrapolation
27. NeurIPS 2024DARG: Dynamic Evaluation of Large Language Models via Adaptive Reasoning Graph
28. NeurIPS 2024DHA: Learning Decoupled-Head Attention from Transformer Checkpoints via Adaptive Heads Fusion
29. NeurIPS 2024Diffusion Models With Learned Adaptive Noise
30. NeurIPS 2024DiGRAF: Diffeomorphic Graph-Adaptive Activation Function
31. NeurIPS 2024Dynamic Subgroup Identification in Covariate-adjusted Response-adaptive Randomization Experiments
32. NeurIPS 2024Efficient Centroid-Linkage Clustering
33. NeurIPS 2024Enabling Adaptive Agent Training in Open-Ended Simulators by Targeting Diversity
34. NeurIPS 2024Enhancing Feature Diversity Boosts Channel-Adaptive Vision Transformers
35. NeurIPS 2024Enhancing Large Language Models through Adaptive Tokenizers
36. NeurIPS 2024FASTopic: Pretrained Transformer is a Fast, Adaptive, Stable, and Transferable Topic Model
37. NeurIPS 2024Frequency Adaptive Normalization For Non-stationary Time Series Forecasting
38. NeurIPS 2024Gradient-Variation Online Learning under Generalized Smoothness
39. NeurIPS 2024GRANOLA: Adaptive Normalization for Graph Neural Networks
40. NeurIPS 2024Heavy-Tailed Class Imbalance and Why Adam Outperforms Gradient Descent on Language Models
41. NeurIPS 2024High-Resolution Image Harmonization with Adaptive-Interval Color Transformation
42. NeurIPS 2024Improving Neural ODE Training with Temporal Adaptive Batch Normalization
43. NeurIPS 2024Layer-Adaptive State Pruning for Deep State Space Models
44. NeurIPS 2024Learning to Understand: Identifying Interactions via the Möbius Transform
45. NeurIPS 2024Local and Adaptive Mirror Descents in Extensive-Form Games
46. NeurIPS 2024Localized Adaptive Risk Control
47. NeurIPS 2024MAGNET: Improving the Multilingual Fairness of Language Models with Adaptive Gradient-Based Tokenization
48. NeurIPS 2024MicroAdam: Accurate Adaptive Optimization with Low Space Overhead and Provable Convergence
49. NeurIPS 2024Mixture of Scales: Memory-Efficient Token-Adaptive Binarization for Large Language Models
50. NeurIPS 2024Optimal and Approximate Adaptive Stochastic Quantization

FAQ

How many Adaptive Methods papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

1,012 in total: 143 in 2023, 183 in 2024, 276 in 2025, 410 in 2026.

How many Adaptive Methods papers are at NeurIPS 2026?

NeurIPS 2026 has 138 Adaptive Methods papers, versus 109 the year before.

How many Adaptive Methods papers are at ICLR 2026?

ICLR 2026 has 80 Adaptive Methods papers, versus 47 the year before.

How many Adaptive Methods papers are at ICML 2026?

ICML 2026 has 109 Adaptive Methods papers, versus 68 the year before.

How many Adaptive Methods papers are at CVPR 2026?

CVPR 2026 has 83 Adaptive Methods papers, versus 52 the year before.

Which conference publishes the most Adaptive Methods papers?

NeurIPS, with 365 papers from 2023 to 2026.