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

365 papers, page 7 of 8

301. NeurIPS 2024Remove that Square Root: A New Efficient Scale-Invariant Version of AdaGrad
302. NeurIPS 2024Score-Optimal Diffusion Schedules
303. NeurIPS 2024Semi-Discrete Optimal Transport: Nearly Minimax Estimation With Stochastic Gradient Descent and Adaptive Entropic Regularization
304. NeurIPS 2024Semi-Random Matrix Completion via Flow-Based Adaptive Reweighting
305. NeurIPS 2024Sparsity-Agnostic Linear Bandits with Adaptive Adversaries
306. NeurIPS 2024Spiking Neural Network as Adaptive Event Stream Slicer
307. NeurIPS 2024SSA-Seg: Semantic and Spatial Adaptive Pixel-level Classifier for Semantic Segmentation
308. NeurIPS 2024The High Line: Exact Risk and Learning Rate Curves of Stochastic Adaptive Learning Rate Algorithms
309. NeurIPS 2024Towards Efficient and Optimal Covariance-Adaptive Algorithms for Combinatorial Semi-Bandits
310. NeurIPS 2024Training-Free Adaptive Diffusion with Bounded Difference Approximation Strategy
311. NeurIPS 2024Using Surrogates in Covariate-adjusted Response-adaptive Randomization Experiments with Delayed Outcomes
312. NeurIPS 2023[Re] Hierarchical Shrinkage: Improving the Accuracy and Interpretability of Tree-Based Methods
313. NeurIPS 2023A Bounded Ability Estimation for Computerized Adaptive Testing
314. NeurIPS 2023AdANNS: A Framework for Adaptive Semantic Search
315. NeurIPS 2023AdaPlanner: Adaptive Planning from Feedback with Language Models
316. NeurIPS 2023Adaptive Algorithms for Relaxed Pareto Set Identification
317. NeurIPS 2023Adaptive Contextual Perception: How To Generalize To New Backgrounds and Ambiguous Objects
318. NeurIPS 2023Adaptive Linear Estimating Equations
319. NeurIPS 2023Adaptive Online Replanning with Diffusion Models
320. NeurIPS 2023Adaptive Privacy Composition for Accuracy-first Mechanisms
321. NeurIPS 2023Adaptive SGD with Polyak stepsize and Line-search: Robust Convergence and Variance Reduction
322. NeurIPS 2023Adaptive Test-Time Personalization for Federated Learning
323. NeurIPS 2023Adaptive Topological Feature via Persistent Homology: Filtration Learning for Point Clouds
324. NeurIPS 2023Adaptive whitening with fast gain modulation and slow synaptic plasticity
325. NeurIPS 2023AGD: an Auto-switchable Optimizer using Stepwise Gradient Difference for Preconditioning Matrix
326. NeurIPS 2023AMDP: An Adaptive Detection Procedure for False Discovery Rate Control in High-Dimensional Mediation Analysis
327. NeurIPS 2023Bayes beats Cross Validation: Efficient and Accurate Ridge Regression via Expectation Maximization
328. NeurIPS 2023BiSLS/SPS: Auto-tune Step Sizes for Stable Bi-level Optimization
329. NeurIPS 2023Block Broyden's Methods for Solving Nonlinear Equations
330. NeurIPS 2023Block Coordinate Plug-and-Play Methods for Blind Inverse Problems
331. NeurIPS 2023Block-Coordinate Methods and Restarting for Solving Extensive-Form Games
332. NeurIPS 2023Byzantine-Tolerant Methods for Distributed Variational Inequalities
333. NeurIPS 2023Closing the gap between the upper bound and lower bound of Adam's iteration complexity
334. NeurIPS 2023Convergence of Adam Under Relaxed Assumptions
335. NeurIPS 2023Covariance-adaptive best arm identification
336. NeurIPS 2023Dynamic Personalized Federated Learning with Adaptive Differential Privacy
337. NeurIPS 2023Fair Adaptive Experiments
338. NeurIPS 2023FAMO: Fast Adaptive Multitask Optimization
339. NeurIPS 2023Fast Projected Newton-like Method for Precision Matrix Estimation under Total Positivity
340. NeurIPS 2023HASSOD: Hierarchical Adaptive Self-Supervised Object Detection
341. NeurIPS 2023How Does Adaptive Optimization Impact Local Neural Network Geometry?
342. NeurIPS 2023IDEA: An Invariant Perspective for Efficient Domain Adaptive Image Retrieval
343. NeurIPS 2023Improved Convergence in High Probability of Clipped Gradient Methods with Heavy Tailed Noise
344. NeurIPS 2023Improving Robustness with Adaptive Weight Decay
345. NeurIPS 2023Last-Iterate Convergent Policy Gradient Primal-Dual Methods for Constrained MDPs
346. NeurIPS 2023Learning Adaptive Tensorial Density Fields for Clean Cryo-ET Reconstruction
347. NeurIPS 2023Local Convergence of Gradient Methods for Min-Max Games: Partial Curvature Generically Suffices
348. NeurIPS 2023Lower Bounds on Adaptive Sensing for Matrix Recovery
349. NeurIPS 2023NAS-X: Neural Adaptive Smoothing via Twisting
350. NeurIPS 2023Noise-Adaptive Thompson Sampling for Linear Contextual Bandits

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.