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
80 papers, page 1 of 2
- ICLR 2026A Convergence Analysis of Adaptive Optimizers under Floating-point Quantization
- ICLR 2026A Tale of Two Smoothness Notions: Adaptive Optimizers and Non-Euclidean Descent
- ICLR 2026Accelerating Diffusion Large Language Models with SlowFast Sampling: The Three Golden Principles
- ICLR 2026AdaCache: Adaptive Caching and Context Augmentation for Efficient LLM Serving
- ICLR 2026Adaptive Acquisition Selection for Bayesian Optimization with Large Language Models
- ICLR 2026Adaptive Conformal Guidance for Learning under Uncertainty
- ICLR 2026Adaptive Conformal Prediction via Mixture-of-Experts Gating Similarity
- ICLR 2026Adaptive Gaussian Expansion for On-the-fly Category Discovery
- ICLR 2026Adaptive Hopfield Network: Rethinking Similarities in Associative Memory
- ICLR 2026Adaptive Logit Adjustment for Debiasing Multimodal Language Models
- ICLR 2026Adaptive Mamba Neural Operators
- ICLR 2026Adaptive Methods Are Preferable in High Privacy Settings: An SDE Perspective
- ICLR 2026Adaptive Mixture of Disentangled Experts for Dynamic Graphs under Distribution Shifts
- ICLR 2026Adaptive Moments are Surprisingly Effective for Plug-and-Play Diffusion Sampling
- ICLR 2026Adaptive Nonlinear Compression for Large Foundation Models
- ICLR 2026Adaptive Regularization for Large-Scale Sparse Feature Embedding Models
- ICLR 2026Adaptive Rollout Allocation for Online Reinforcement Learning with Verifiable Rewards
- ICLR 2026Adaptive Scaling of Policy Constraints for Offline Reinforcement Learning
- ICLR 2026Adaptive Thinking: Large Language Models Know When to Think in Latent Space
- ICLR 2026Adaptive Width Neural Networks
- ICLR 2026AdaRank: Adaptive Rank Pruning for Enhanced Model Merging
- ICLR 2026AdaSpec: Adaptive Spectrum for Enhanced Node Distinguishability
- ICLR 2026ADEPT: Continual Pretraining via Adaptive Expansion and Dynamic Decoupled Tuning
- ICLR 2026AFTER: Mitigating the Object Hallucination of LVLM via Adaptive Factual-Guided Activation Editing
- ICLR 2026APC-RL: Exceeding data-driven behavior priors with adaptive policy composition
- ICLR 2026ARMOR: High-Performance Semi-Structured Pruning via Adaptive Matrix Factorization
- ICLR 2026ASTGI: Adaptive Spatio-Temporal Graph Interactions for Irregular Multivariate Time Series Forecasting
- ICLR 2026Automated Stateful Specialization for Adaptive Agent Systems
- ICLR 2026ByteFlow: Language Modeling through Adaptive Byte Compression without a Tokenizer
- ICLR 2026Code Driven Planning with Domain-Adaptive Selector
- ICLR 2026CooperTrim: Adaptive Data Selection for Uncertainty-Aware Cooperative Perception
- ICLR 2026COSMOS: A Hybrid Adaptive Optimizer for Efficient Training of Large Language Models
- ICLR 2026d$^2$Cache: Accelerating Diffusion-Based LLMs via Dual Adaptive Caching
- ICLR 2026Deep Hierarchical Learning with Nested Subspace Networks
- ICLR 2026DES-LOC: Desynced Low Communication Adaptive Optimizers for Foundation Models
- ICLR 2026Dynamic-dLLM: Dynamic Cache-Budget and Adaptive Parallel Decoding for Training-Free Acceleration of Diffusion LLM
- ICLR 2026E²LoRA: Efficient and Effective Low-Rank Adaptation with Entropy-Guided Adaptive Sharing
- ICLR 2026Expressive yet Efficient Feature Expansion with Adaptive Cross-Hadamard Products
- ICLR 2026Fairness-Aware Multi-view Evidential Learning with Adaptive Prior
- ICLR 2026Fast Frank–Wolfe Algorithms with Adaptive Bregman Step-Size for Weakly Convex Functions
- ICLR 2026FutureMind: Equipping Small Language Models with Strategic Thinking-Pattern Priors via Adaptive Knowledge Distillation
- ICLR 2026FZOO: Fast Zeroth-Order Optimizer for Fine‑Tuning Large Language Models towards Adam‑Scale Speed
- ICLR 2026Graph Signal Processing Meets Mamba2: Adaptive Filter Bank via Delta Modulation
- ICLR 2026High-dimensional limit theorems for SGD: Momentum and Adaptive Step-sizes
- ICLR 2026Implicit Bias of Per-sample Adam on Separable Data: Departure from the Full-batch Regime
- ICLR 2026Instance-wise Adaptive Scheduling via Derivative-Free Meta-Learning
- ICLR 2026JAPAN: Joint Adaptive Prediction Areas with Normalising Flow
- ICLR 2026Learn to Reason Efficiently with Adaptive Length-based Reward Shaping
- ICLR 2026Learning To Draft: Adaptive Speculative Decoding with Reinforcement Learning
- ICLR 2026Learning to Parallel: Accelerating Diffusion Large Language Models via Adaptive Parallel Decoding
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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.