Adaptive Methods papers, 2023–2026
Adam-like methods and schedules
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 1,012 papers are tagged with this topic.
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.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 54 | 24 | 22 | 43 | 143 |
| 2024 | 64 | 22 | 51 | 46 | 183 |
| 2025 | 109 | 47 | 68 | 52 | 276 |
| 2026 | 138 | 80 | 109 | 83 | 410 |
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
54 papers, page 1 of 2
- NeurIPS 2023[Re] Hierarchical Shrinkage: Improving the Accuracy and Interpretability of Tree-Based Methods
- NeurIPS 2023A Bounded Ability Estimation for Computerized Adaptive Testing
- NeurIPS 2023AdANNS: A Framework for Adaptive Semantic Search
- NeurIPS 2023AdaPlanner: Adaptive Planning from Feedback with Language Models
- NeurIPS 2023Adaptive Algorithms for Relaxed Pareto Set Identification
- NeurIPS 2023Adaptive Contextual Perception: How To Generalize To New Backgrounds and Ambiguous Objects
- NeurIPS 2023Adaptive Linear Estimating Equations
- NeurIPS 2023Adaptive Online Replanning with Diffusion Models
- NeurIPS 2023Adaptive Privacy Composition for Accuracy-first Mechanisms
- NeurIPS 2023Adaptive SGD with Polyak stepsize and Line-search: Robust Convergence and Variance Reduction
- NeurIPS 2023Adaptive Test-Time Personalization for Federated Learning
- NeurIPS 2023Adaptive Topological Feature via Persistent Homology: Filtration Learning for Point Clouds
- NeurIPS 2023Adaptive whitening with fast gain modulation and slow synaptic plasticity
- NeurIPS 2023AGD: an Auto-switchable Optimizer using Stepwise Gradient Difference for Preconditioning Matrix
- NeurIPS 2023AMDP: An Adaptive Detection Procedure for False Discovery Rate Control in High-Dimensional Mediation Analysis
- NeurIPS 2023Bayes beats Cross Validation: Efficient and Accurate Ridge Regression via Expectation Maximization
- NeurIPS 2023BiSLS/SPS: Auto-tune Step Sizes for Stable Bi-level Optimization
- NeurIPS 2023Block Broyden's Methods for Solving Nonlinear Equations
- NeurIPS 2023Block Coordinate Plug-and-Play Methods for Blind Inverse Problems
- NeurIPS 2023Block-Coordinate Methods and Restarting for Solving Extensive-Form Games
- NeurIPS 2023Byzantine-Tolerant Methods for Distributed Variational Inequalities
- NeurIPS 2023Closing the gap between the upper bound and lower bound of Adam's iteration complexity
- NeurIPS 2023Convergence of Adam Under Relaxed Assumptions
- NeurIPS 2023Covariance-adaptive best arm identification
- NeurIPS 2023Dynamic Personalized Federated Learning with Adaptive Differential Privacy
- NeurIPS 2023Fair Adaptive Experiments
- NeurIPS 2023FAMO: Fast Adaptive Multitask Optimization
- NeurIPS 2023Fast Projected Newton-like Method for Precision Matrix Estimation under Total Positivity
- NeurIPS 2023HASSOD: Hierarchical Adaptive Self-Supervised Object Detection
- NeurIPS 2023How Does Adaptive Optimization Impact Local Neural Network Geometry?
- NeurIPS 2023IDEA: An Invariant Perspective for Efficient Domain Adaptive Image Retrieval
- NeurIPS 2023Improved Convergence in High Probability of Clipped Gradient Methods with Heavy Tailed Noise
- NeurIPS 2023Improving Robustness with Adaptive Weight Decay
- NeurIPS 2023Last-Iterate Convergent Policy Gradient Primal-Dual Methods for Constrained MDPs
- NeurIPS 2023Learning Adaptive Tensorial Density Fields for Clean Cryo-ET Reconstruction
- NeurIPS 2023Local Convergence of Gradient Methods for Min-Max Games: Partial Curvature Generically Suffices
- NeurIPS 2023Lower Bounds on Adaptive Sensing for Matrix Recovery
- NeurIPS 2023NAS-X: Neural Adaptive Smoothing via Twisting
- NeurIPS 2023Noise-Adaptive Thompson Sampling for Linear Contextual Bandits
- NeurIPS 2023Optimal Preconditioning and Fisher Adaptive Langevin Sampling
- NeurIPS 2023Oracle Complexity of Single-Loop Switching Subgradient Methods for Non-Smooth Weakly Convex Functional Constrained Optimization
- NeurIPS 2023Projection-Free Methods for Solving Nonconvex-Concave Saddle Point Problems
- NeurIPS 2023Projection-Free Methods for Stochastic Simple Bilevel Optimization with Convex Lower-level Problem
- NeurIPS 2023QuIP: 2-Bit Quantization of Large Language Models With Guarantees
- NeurIPS 2023Searching for Optimal Per-Coordinate Step-sizes with Multidimensional Backtracking
- NeurIPS 2023Smooth Flipping Probability for Differential Private Sign Random Projection Methods
- NeurIPS 2023Stability-penalty-adaptive follow-the-regularized-leader: Sparsity, game-dependency, and best-of-both-worlds
- NeurIPS 2023Statistical Limits of Adaptive Linear Models: Low-Dimensional Estimation and Inference
- NeurIPS 2023Swarm Reinforcement Learning for Adaptive Mesh Refinement
- NeurIPS 2023Train Once, Get a Family: State-Adaptive Balances for Offline-to-Online Reinforcement Learning
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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.