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

410 papers, page 6 of 9

251. ICML 2026QTALE: Quantization-Robust Token-Adaptive Layer Execution for LLMs
252. ICML 2026Randomized Feasibility Methods for Constrained Optimization with Adaptive Step Sizes
253. ICML 2026Reasoning as an Attack Surface: Adaptive Evolutionary CoT Jailbreaks for LLMs
254. ICML 2026Regime-Adaptive Bayesian Optimization via Dirichlet Process Mixtures of Gaussian Processes
255. ICML 2026Retriever Portfolios: A Principled Approach to Adaptive RAG
256. ICML 2026Robust Federated Learning Against Adaptive Compression
257. ICML 2026SAQNN: Spectral Adaptive Quantum Neural Network as a Universal Approximator
258. ICML 2026Scalable Reinforcement Learning via Adaptive Batch Scaling
259. ICML 2026Sequential Kernel-based Conditional Independence Testing via Adaptive Betting
260. ICML 2026SFCLTA: Spectral Fusion Contrastive Learning with Topology-Adaptive Graph Augmentation
261. ICML 2026Singular Proxies for Adaptive Caching in Diffusion Language Models
262. ICML 2026Spatially-Adaptive Gradient Re-parameterization for 3D Large Kernel Optimization
263. ICML 2026StretchTime: Adaptive Time Series Forecasting via Symplectic Attention
264. ICML 2026The Appeal and Reality of Recycling LoRAs with Adaptive Merging
265. ICML 2026The Implicit Bias of Adam and Muon on Smooth Homogeneous Neural Networks
266. ICML 2026Theoretical Guarantees for One-Shot Magnitude Pruning and Compute-Adaptive Early Exit
267. ICML 2026Towards Understanding Adam Convergence on Highly Degenerate Polynomials
268. ICML 2026Training Prompt Matters: State-Adaptive Optimization for Robust Fine-Tuning
269. ICML 2026Uncovering Latent Communication Patterns in Brain Networks via Adaptive Flow Routing
270. ICML 2026Wasserstein Geometry-Aware Adaptive Control via Meta-Learning
271. ICML 2026Whom to Query for What: Adaptive Group Elicitation via Multi-Turn LLM Interactions
272. ICML 2026WUSH: Near-Optimal Adaptive Transforms for LLM Quantization
273. NeurIPS 20262D Spatial Reasoning with Adaptive Neural Cellular Automata
274. NeurIPS 2026A Communication-Theoretic Framework for LLM Agents: Cost-Aware Adaptive Reliability
275. NeurIPS 2026A$^2$IQL: Adaptive Asymmetric Implicit Q Learning for Automated Warehouse Consolidation
276. NeurIPS 2026ABC-Align: Prediction-Powered Alignment with Adaptive Bias Control
277. NeurIPS 2026AcceleGrad#: Adaptive Geometry-Aware Acceleration
278. NeurIPS 2026AdaCal: Adaptive Calibration for Robust Sparse Attention in Long-Context LLMs
279. NeurIPS 2026AdaKVQ: Adaptive Mixed-Precision KV Cache Quantization For Efficient Reasoning Models
280. NeurIPS 2026AdaM-Rec: Adaptive Modality Routing for Multimodal Recommendation
281. NeurIPS 2026AdaOcc: Adaptive 3D Occupancy Prediction for Embodied Tasks
282. NeurIPS 2026AdaPaD: Adaptive Parallel Deflation for PEFT with Self-Correcting Rank Discovery
283. NeurIPS 2026AdapMatch: Adaptive Bias Decoupling for Semi-Supervised Partial Label Learning under Unknown Class Distributions
284. NeurIPS 2026Adapting to Conflict: Equilibrium Structure and Adaptive Learning in Harmonic Games
285. NeurIPS 2026Adaptive and Neutral Theory of Evolution Strategies for Large Language Models
286. NeurIPS 2026Adaptive auditing of AI systems with anytime-valid guarantees
287. NeurIPS 2026Adaptive Calibration in Non-Stationary Environments
288. NeurIPS 2026Adaptive Conditional Gradient Sliding: Projection-Free and Line-Search-Free Acceleration
289. NeurIPS 2026Adaptive Covariance and Multi-Layer Alignment for Out-of-Distribution Detection
290. NeurIPS 2026Adaptive Delayed-Update Cyclic Algorithm for Variational Inequalities
291. NeurIPS 2026Adaptive Feature Propagation for Attribute-Missing Graph Clustering
292. NeurIPS 2026Adaptive Fine-Tuning Scheduler for Multi-Tenant Edge LLM via Convergence-Aware Bandits
293. NeurIPS 2026Adaptive Generate-Rank-Verify: Inference-Time Search with Costly Verification
294. NeurIPS 2026Adaptive Inference for Functionals of M-Estimands
295. NeurIPS 2026Adaptive Internal Readout for Native Multimodal Models
296. NeurIPS 2026Adaptive Multi-view Graph Contrastive Learning via Fractional Continuous Dynamics
297. NeurIPS 2026Adaptive Power Iteration Method for Differentially Private PCA
298. NeurIPS 2026Adaptive Prior Selection in Gaussian Process Bandits with Thompson Sampling
299. NeurIPS 2026Adaptive Random Forests from Online Learning and Testing by Betting
300. NeurIPS 2026Adaptive Scheduling Pipeline For Multi-Instance Asynchronous Reinforcement Learning

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.