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

1,012 papers, page 16 of 21

751. ICLR 2024SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation
752. ICLR 2024Scalable Modular Network: A Framework for Adaptive Learning via Agreement Routing
753. ICLR 2024Scale-Adaptive Diffusion Model for Complex Sketch Synthesis
754. ICLR 2024Towards Green AI in Fine-tuning Large Language Models via Adaptive Backpropagation
755. ICML 2024A New Linear Scaling Rule for Private Adaptive Hyperparameter Optimization
756. ICML 2024A Unified Adaptive Testing System Enabled by Hierarchical Structure Search
757. ICML 2024Active Adaptive Experimental Design for Treatment Effect Estimation with Covariate Choice
758. ICML 2024Adapt and Diffuse: Sample-adaptive Reconstruction via Latent Diffusion Models
759. ICML 2024Adaptive Accompaniment with ReaLchords
760. ICML 2024Adaptive Advantage-Guided Policy Regularization for Offline Reinforcement Learning
761. ICML 2024Adaptive Conformal Inference by Betting
762. ICML 2024Adaptive Feature Selection for No-Reference Image Quality Assessment by Mitigating Semantic Noise Sensitivity
763. ICML 2024Adaptive Group Personalization for Federated Mutual Transfer Learning
764. ICML 2024Adaptive Hierarchical Certification for Segmentation using Randomized Smoothing
765. ICML 2024Adaptive Horizon Actor-Critic for Policy Learning in Contact-Rich Differentiable Simulation
766. ICML 2024Adaptive Observation Cost Control for Variational Quantum Eigensolvers
767. ICML 2024Adaptive Proximal Gradient Methods Are Universal Without Approximation
768. ICML 2024Adaptive Robust Learning using Latent Bernoulli Variables
769. ICML 2024Adaptive Sampling of k-Space in Magnetic Resonance for Rapid Pathology Prediction
770. ICML 2024Adaptive Text Watermark for Large Language Models
771. ICML 2024Adaptive-Gradient Policy Optimization: Enhancing Policy Learning in Non-Smooth Differentiable Simulations
772. ICML 2024AMPA: Adaptive Mixed Precision Allocation for Low-Bit Integer Training
773. ICML 2024APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference
774. ICML 2024Breadth-First Exploration on Adaptive Grid for Reinforcement Learning
775. ICML 2024Can We Remove the Square-Root in Adaptive Gradient Methods? A Second-Order Perspective
776. ICML 2024Conformalized Adaptive Forecasting of Heterogeneous Trajectories
777. ICML 2024Coprocessor Actor Critic: A Model-Based Reinforcement Learning Approach For Adaptive Brain Stimulation
778. ICML 2024Discounted Adaptive Online Learning: Towards Better Regularization
779. ICML 2024DSD-DA: Distillation-based Source Debiasing for Domain Adaptive Object Detection
780. ICML 2024FADAS: Towards Federated Adaptive Asynchronous Optimization
781. ICML 2024Faster Adaptive Decentralized Learning Algorithms
782. ICML 2024Generalized Smooth Variational Inequalities: Methods with Adaptive Stepsizes
783. ICML 2024HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding
784. ICML 2024How Private are DP-SGD Implementations?
785. ICML 2024Learning Multiple Secrets in Mastermind
786. ICML 2024Learning with Adaptive Resource Allocation
787. ICML 2024MADA: Meta-Adaptive Optimizers Through Hyper-Gradient Descent
788. ICML 2024MoMo: Momentum Models for Adaptive Learning Rates
789. ICML 2024Multi-Factor Adaptive Vision Selection for Egocentric Video Question Answering
790. ICML 2024Navigating Scaling Laws: Compute Optimality in Adaptive Model Training
791. ICML 2024Neurodegenerative Brain Network Classification via Adaptive Diffusion with Temporal Regularization
792. ICML 2024On Gradient-like Explanation under a Black-box Setting: When Black-box Explanations Become as Good as White-box
793. ICML 2024On the Implicit Bias of Adam
794. ICML 2024One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning
795. ICML 2024Online Adaptive Anomaly Thresholding with Confidence Sequences
796. ICML 2024Overcoming the Optimizer's Curse: Obtaining Realistic Prescriptions from Neural Networks
797. ICML 2024PASOA- PArticle baSed Bayesian Optimal Adaptive design
798. ICML 2024PriorBoost: An Adaptive Algorithm for Learning from Aggregate Responses
799. ICML 2024Privacy Preserving Adaptive Experiment Design
800. ICML 2024Prodigy: An Expeditiously Adaptive Parameter-Free Learner

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.