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
51 papers, page 1 of 2
- ICML 2024A New Linear Scaling Rule for Private Adaptive Hyperparameter Optimization
- ICML 2024A Unified Adaptive Testing System Enabled by Hierarchical Structure Search
- ICML 2024Active Adaptive Experimental Design for Treatment Effect Estimation with Covariate Choice
- ICML 2024Adapt and Diffuse: Sample-adaptive Reconstruction via Latent Diffusion Models
- ICML 2024Adaptive Accompaniment with ReaLchords
- ICML 2024Adaptive Advantage-Guided Policy Regularization for Offline Reinforcement Learning
- ICML 2024Adaptive Conformal Inference by Betting
- ICML 2024Adaptive Feature Selection for No-Reference Image Quality Assessment by Mitigating Semantic Noise Sensitivity
- ICML 2024Adaptive Group Personalization for Federated Mutual Transfer Learning
- ICML 2024Adaptive Hierarchical Certification for Segmentation using Randomized Smoothing
- ICML 2024Adaptive Horizon Actor-Critic for Policy Learning in Contact-Rich Differentiable Simulation
- ICML 2024Adaptive Observation Cost Control for Variational Quantum Eigensolvers
- ICML 2024Adaptive Proximal Gradient Methods Are Universal Without Approximation
- ICML 2024Adaptive Robust Learning using Latent Bernoulli Variables
- ICML 2024Adaptive Sampling of k-Space in Magnetic Resonance for Rapid Pathology Prediction
- ICML 2024Adaptive Text Watermark for Large Language Models
- ICML 2024Adaptive-Gradient Policy Optimization: Enhancing Policy Learning in Non-Smooth Differentiable Simulations
- ICML 2024AMPA: Adaptive Mixed Precision Allocation for Low-Bit Integer Training
- ICML 2024APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference
- ICML 2024Breadth-First Exploration on Adaptive Grid for Reinforcement Learning
- ICML 2024Can We Remove the Square-Root in Adaptive Gradient Methods? A Second-Order Perspective
- ICML 2024Conformalized Adaptive Forecasting of Heterogeneous Trajectories
- ICML 2024Coprocessor Actor Critic: A Model-Based Reinforcement Learning Approach For Adaptive Brain Stimulation
- ICML 2024Discounted Adaptive Online Learning: Towards Better Regularization
- ICML 2024DSD-DA: Distillation-based Source Debiasing for Domain Adaptive Object Detection
- ICML 2024FADAS: Towards Federated Adaptive Asynchronous Optimization
- ICML 2024Faster Adaptive Decentralized Learning Algorithms
- ICML 2024Generalized Smooth Variational Inequalities: Methods with Adaptive Stepsizes
- ICML 2024HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding
- ICML 2024How Private are DP-SGD Implementations?
- ICML 2024Learning Multiple Secrets in Mastermind
- ICML 2024Learning with Adaptive Resource Allocation
- ICML 2024MADA: Meta-Adaptive Optimizers Through Hyper-Gradient Descent
- ICML 2024MoMo: Momentum Models for Adaptive Learning Rates
- ICML 2024Multi-Factor Adaptive Vision Selection for Egocentric Video Question Answering
- ICML 2024Navigating Scaling Laws: Compute Optimality in Adaptive Model Training
- ICML 2024Neurodegenerative Brain Network Classification via Adaptive Diffusion with Temporal Regularization
- ICML 2024On Gradient-like Explanation under a Black-box Setting: When Black-box Explanations Become as Good as White-box
- ICML 2024On the Implicit Bias of Adam
- ICML 2024One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning
- ICML 2024Online Adaptive Anomaly Thresholding with Confidence Sequences
- ICML 2024Overcoming the Optimizer's Curse: Obtaining Realistic Prescriptions from Neural Networks
- ICML 2024PASOA- PArticle baSed Bayesian Optimal Adaptive design
- ICML 2024PriorBoost: An Adaptive Algorithm for Learning from Aggregate Responses
- ICML 2024Privacy Preserving Adaptive Experiment Design
- ICML 2024Prodigy: An Expeditiously Adaptive Parameter-Free Learner
- ICML 2024RODEO: Robust Outlier Detection via Exposing Adaptive Out-of-Distribution Samples
- ICML 2024Small-loss Adaptive Regret for Online Convex Optimization
- ICML 2024Smoothness Adaptive Hypothesis Transfer Learning
- ICML 2024Studying K-FAC Heuristics by Viewing Adam through a Second-Order Lens
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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.