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
109 papers, page 1 of 3
- NeurIPS 2025A Driving-Style-Adaptive Framework for Vehicle Trajectory Prediction
- NeurIPS 2025Abstain Mask Retain Core: Time Series Prediction by Adaptive Masking Loss with Representation Consistency
- NeurIPS 2025AC-DiT: Adaptive Coordination Diffusion Transformer for Mobile Manipulation
- NeurIPS 2025Accelerated Distance-adaptive Methods for Hölder Smooth and Convex Optimization
- NeurIPS 2025Accelerating Diffusion LLMs via Adaptive Parallel Decoding
- NeurIPS 2025AcuRank: Uncertainty-Aware Adaptive Computation for Listwise Reranking
- NeurIPS 2025Ada-KV: Optimizing KV Cache Eviction by Adaptive Budget Allocation for Efficient LLM Inference
- NeurIPS 2025AdaDetectGPT: Adaptive Detection of LLM-Generated Text with Statistical Guarantees
- NeurIPS 2025AdaLRS: Loss-Guided Adaptive Learning Rate Search for Efficient Foundation Model Pretraining
- NeurIPS 2025Adam Reduces a Unique Form of Sharpness: Theoretical Insights Near the Minimizer Manifold
- NeurIPS 2025AdaptGrad: Adaptive Sampling to Reduce Noise
- NeurIPS 2025Adaptive Algorithms with Sharp Convergence Rates for Stochastic Hierarchical Optimization
- NeurIPS 2025Adaptive and Multi-scale Affinity Alignment for Hierarchical Contrastive Learning
- NeurIPS 2025Adaptive Cannistraci-Hebb Network Automata Modelling of Complex Networks for Path-based Link Prediction
- NeurIPS 2025Adaptive Classifier-Free Guidance via Dynamic Low-Confidence Masking
- NeurIPS 2025Adaptive Data-Borrowing for Improving Treatment Effect Estimation using External Controls
- NeurIPS 2025Adaptive Discretization for Consistency Models
- NeurIPS 2025Adaptive Fission: Post-training Encoding for Low-latency Spike Neural Networks
- NeurIPS 2025Adaptive Inference-Time Scaling via Cyclic Diffusion Search
- NeurIPS 2025Adaptive Latent-Space Constraints in Personalized Federated Learning
- NeurIPS 2025Adaptive Neighborhood-Constrained Q Learning for Offline Reinforcement Learning
- NeurIPS 2025Adaptive Prediction-Powered AutoEval with Reliability and Efficiency Guarantees
- NeurIPS 2025Adaptive Quantization in Generative Flow Networks for Probabilistic Sequential Prediction
- NeurIPS 2025Adaptive Re-calibration Learning for Balanced Multimodal Intention Recognition
- NeurIPS 2025Adaptive Riemannian ADMM for Nonsmooth Optimization: Optimal Complexity without Smoothing
- NeurIPS 2025Adaptive Stochastic Coefficients for Accelerating Diffusion Sampling
- NeurIPS 2025Adaptive Surrogate Gradients for Sequential Reinforcement Learning in Spiking Neural Networks
- NeurIPS 2025Adaptive Time Encoding for Irregular Multivariate Time-Series Classification
- NeurIPS 2025Adaptive Variance Inflation in Thompson Sampling: Efficiency, Safety, Robustness, and Beyond
- NeurIPS 2025AdaSTaR: Adaptive Data Sampling for Training Self-Taught Reasoners
- NeurIPS 2025AdmTree: Compressing Lengthy Context with Adaptive Semantic Trees
- NeurIPS 2025An Adaptive Algorithm for Bilevel Optimization on Riemannian Manifolds
- NeurIPS 2025An Adaptive Quantum Circuit of Dempster's Rule of Combination for Uncertain Pattern Classification
- NeurIPS 2025APML: Adaptive Probabilistic Matching Loss for Robust 3D Point Cloud Reconstruction
- NeurIPS 2025ARM: Adaptive Reasoning Model
- NeurIPS 2025ASGO: Adaptive Structured Gradient Optimization
- NeurIPS 2025Attribution-Driven Adaptive Token Pruning for Transformers
- NeurIPS 2025Automatic Auxiliary Task Selection and Adaptive Weighting Boost Molecular Property Prediction
- NeurIPS 2025Bandit Guided Submodular Curriculum for Adaptive Subset Selection
- NeurIPS 2025Bootstrap Your Uncertainty: Adaptive Robust Classification Driven by Optimal-Transport
- NeurIPS 2025Brain-Like Processing Pathways Form in Models With Heterogeneous Experts
- NeurIPS 2025Bridging Expressivity and Scalability with Adaptive Unitary SSMs
- NeurIPS 2025CAT: Content-Adaptive Image Tokenization
- NeurIPS 2025Cognitive Predictive Processing: A Human-inspired Framework for Adaptive Exploration in Open-World Reinforcement Learning
- NeurIPS 2025Consistency of the $k_n$-nearest neighbor rule under adaptive sampling
- NeurIPS 2025Data-Adaptive Exposure Thresholds under Network Interference
- NeurIPS 2025Data-Juicer 2.0: Cloud-Scale Adaptive Data Processing for and with Foundation Models
- NeurIPS 2025DiEP: Adaptive Mixture-of-Experts Compression through Differentiable Expert Pruning
- NeurIPS 2025Diffusion Models and the Manifold Hypothesis: Log-Domain Smoothing is Geometry Adaptive
- NeurIPS 2025Distance Adaptive Beam Search for Provably Accurate Graph-Based Nearest Neighbor Search
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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.