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
138 papers, page 3 of 3
- NeurIPS 2026Online Active Testing: Adaptive Importance Sampling for Unbiased Risk Estimation in Data Streams
- NeurIPS 2026Online Minimum Description Length Passive-Aggressive Algorithms
- NeurIPS 2026Optimal Rates for Adaptive Private $k$-PCA
- NeurIPS 2026Orthogonal Updates for the Win: Towards Accelerated Adaptive Minimax Optimization
- NeurIPS 2026PACE: Pareto-Adaptive Compression for Efficient Native MLLMs
- NeurIPS 2026Path Dependence under Adaptive AI Delegation
- NeurIPS 2026Phase-Adaptive Fusion: Spatio-Temporal Modulation for VLA Models
- NeurIPS 2026Phases of Muon: When Muon Eclipses SignSGD
- NeurIPS 2026Precision As You Need: Stochastic Computing Is a Dense Adaptive Quantizer
- NeurIPS 2026RAPTOR: Ridge-Adaptive Logistic Probes
- NeurIPS 2026Recovering Evolving User Preference State via Adaptive Interaction-aware Representation Correction
- NeurIPS 2026Reference-Guided Training: Adaptive Gradient Scaling via Per-Sample Loss Comparisons
- NeurIPS 2026Reinforcement Learning for View-Adaptive Distillation in 3D Gaussian Compression
- NeurIPS 2026Safety Geometry Collapse in Multimodal LLMs and Adaptive Drift Correction
- NeurIPS 2026Same Signal, Opposite Meaning: Direction-Informed Adaptive Learning for LLM Agents
- NeurIPS 2026SDHilb: Schrödinger Dynamics-Guided Neural Network with Adaptive Multi-Scale Hilbert Transform for Time Series Forecasting
- NeurIPS 2026SP$^2$ec: Adaptive Self-Speculative Decoding for Vision-Language Models
- NeurIPS 2026SPA-Q: Structure-Preserving Adaptive Post-Training Quantization for Monocular Depth Estimation
- NeurIPS 2026SpanFormer: Multi-Level Adaptive Sparsity for Object Detection in High-Resolution Wide Shots
- NeurIPS 2026Spectral Adaptive Repositioning for Flow-Based Single-Cell Perturbation Modeling
- NeurIPS 2026Spike-to-Field Mechanisms of Turbulence-Like Dynamics in Spatial Spiking Neural Networks
- NeurIPS 2026Stable GFlowNets with Probabilistic Guarantees
- NeurIPS 2026STABLE: A Continual Learning Optimizer with Adaptive Drift Control
- NeurIPS 2026Stop the Sampler! Classifier-Based Adaptive Stopping for Sampling Kernels
- NeurIPS 2026Strengthen Out-of-Distribution Detection via Adaptive Mahalanobis Gap
- NeurIPS 2026Strongly Adaptive Online Learning with Time-Varying Movement Cost
- NeurIPS 2026T$^2$-Splat: Adaptive Topology Mesh Splatting with Texture Residuals
- NeurIPS 2026Taking the Road Less Scheduled with Adaptive Polyak Steps
- NeurIPS 2026The Price of Choosing Examples: Context Overfitting in Adaptive In-Context Learning
- NeurIPS 2026To Copy or Not to Copy: Controlling Speculative Decoding via Intrinsic Model Signals
- NeurIPS 2026Towards Reliable LLM Evaluation: Correcting the Winner’s Curse in Adaptive Benchmarking
- NeurIPS 2026TPRL: Adaptive Visual Token Pruning in LVLMs via Language-Guided Reinforcement Learning
- NeurIPS 2026TrustFlow: Adaptive Trust Calibration for Language Model Guided Reinforcement Learning
- NeurIPS 2026Universal Adaptive Proximal Gradient Methods via Gradient Mapping Accumulation
- NeurIPS 2026Variance-Adaptive Optimal Algorithm for Reinforcement Learning with MNL Function Approximation
- NeurIPS 2026vExpert: Virtualizing Expert Storage for Adaptive Load Balancing in Distributed MoE Inference
- NeurIPS 2026WaveSem: Frequency-Adaptive Tokenization for Disentangling Semantics and Noise in Genomics
- NeurIPS 2026Wayfinder: Adaptive Resource Routing from Agent Citations
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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.