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

109 papers, page 2 of 3

51. ICML 2026DropoutTS: Sample-Adaptive Dropout for Robust Time Series Forecasting
52. ICML 2026Dual-channel Dynamic Graph Neural Networks with Adaptive Adjacency Learning and Multi-scale Representation Fusion
53. ICML 2026DuetServe: Harmonizing Prefill and Decode for LLM Serving via Adaptive GPU Multiplexing
54. ICML 2026Entropic Mirror Monte Carlo
55. ICML 2026Entropy-informed Decoding: Adaptive Information-Driven Branching
56. ICML 2026FedVeer: Self-Adaptive Skew Estimation for Robust Federated Learning
57. ICML 2026FOAM: Frequency and Operator-Error Based Adaptive Damping Method for Reducing Staleness-Oriented Error for Shampoo
58. ICML 2026Geometric Convergence of Gauss–Newton for Neural Networks: Riemannian Geometry and Adaptive Damping
59. ICML 2026Geometry-Misalignment in Distributional Learning
60. ICML 2026Global Convergence of Adaptive Sensing for Principal Eigenvector Estimation
61. ICML 2026GP2F: Cross-Domain Graph Prompting with Adaptive Fusion of Pre-trained Graph Neural Networks
62. ICML 2026GradientStabilizer: Fix the Norm, Not the Gradient
63. ICML 2026HARD-KV: Head-Adaptive Regularization for Decoding-time KV Compression
64. ICML 2026HybridFlow: Resource-Adaptive Subtask Routing for Efficient Edge-Cloud LLM Inference
65. ICML 2026Identifiable Nonlinear Differentiable Causal Discovery via Independence and Adaptive Group Sparsity
66. ICML 2026IO-Adam: Rethinking Memory-Efficient Adaptive Optimizers from Gradient Computation
67. ICML 2026JADAI: Jointly Amortizing Adaptive Design and Bayesian Inference
68. ICML 2026KnapSpec: Self-Speculative Decoding via Adaptive Layer Selection as a Knapsack Problem
69. ICML 2026LDARNet: DNA Adaptive Representation Network with Learnable Tokenization for Genomic Modeling
70. ICML 2026Learning Adaptive Perturbation-Conditioned Contexts for Robust Transcriptional Response Prediction
71. ICML 2026Learning Adaptive Topology with FiLM-Guided Distillation for Tertiary Structure-Based RNA Design
72. ICML 2026LoRe: Adaptive Interaction-Evaluation Routing with Per-step Interaction Budgets for Iterative Graph Solvers
73. ICML 2026M+Adam: Low-Precision Training via Additive–Multiplicative Optimization
74. ICML 2026Margin-Adaptive Confidence Ranking for Reliable LLM Judgement
75. ICML 2026MedMamba: Multi-View State Space Models with Adaptive Graph Learning for Medical Time Series Classification
76. ICML 2026MixFP4: Enhancing NVFP4 with Adaptive FP4/INT4 Block Representations
77. ICML 2026Model-Preserving Adaptive Rounding
78. ICML 2026Multi-Objective Bayesian Optimization via Adaptive $\varepsilon$-Constraint Decomposition
79. ICML 2026Navigating the Flatlands: Dual Adaptive Sharpness-Aware Minimization for Domain Generalization
80. ICML 2026Neural Attention Search Linear: Towards Adaptive Token-Level Hybrid Attention Models
81. ICML 2026Not All Frequencies Are Equal: Energy-Adaptive Diffusion for Time Series Forecasting
82. ICML 2026OmniFit: Bridging Modalities via Layer-Adaptive Token Compression for Omnimodal Large Language Models
83. ICML 2026PACEAttention: Principled and Adaptive Feature Compression-Expansion Grounded in the Geometry of $\text{MCR}^2$
84. ICML 2026PAMD: Structured Adaptive Distances for Bisimulation Representations in Visual Reinforcement Learning
85. ICML 2026Preconditioning Neural Tangent Kernel for Adaptive Optimization
86. ICML 2026Prediction-Powered Adaptive Inference with Pretrained AI Models for Contextual Bandits
87. ICML 2026PRISM: Distribution-free Adaptive Computation of Matrix Functions for Accelerating Neural Network Training
88. ICML 2026QTALE: Quantization-Robust Token-Adaptive Layer Execution for LLMs
89. ICML 2026Randomized Feasibility Methods for Constrained Optimization with Adaptive Step Sizes
90. ICML 2026Reasoning as an Attack Surface: Adaptive Evolutionary CoT Jailbreaks for LLMs
91. ICML 2026Regime-Adaptive Bayesian Optimization via Dirichlet Process Mixtures of Gaussian Processes
92. ICML 2026Retriever Portfolios: A Principled Approach to Adaptive RAG
93. ICML 2026Robust Federated Learning Against Adaptive Compression
94. ICML 2026SAQNN: Spectral Adaptive Quantum Neural Network as a Universal Approximator
95. ICML 2026Scalable Reinforcement Learning via Adaptive Batch Scaling
96. ICML 2026Sequential Kernel-based Conditional Independence Testing via Adaptive Betting
97. ICML 2026SFCLTA: Spectral Fusion Contrastive Learning with Topology-Adaptive Graph Augmentation
98. ICML 2026Singular Proxies for Adaptive Caching in Diffusion Language Models
99. ICML 2026Spatially-Adaptive Gradient Re-parameterization for 3D Large Kernel Optimization
100. ICML 2026StretchTime: Adaptive Time Series Forecasting via Symplectic Attention

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.