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 1 of 3
- NeurIPS 20262D Spatial Reasoning with Adaptive Neural Cellular Automata
- NeurIPS 2026A Communication-Theoretic Framework for LLM Agents: Cost-Aware Adaptive Reliability
- NeurIPS 2026A$^2$IQL: Adaptive Asymmetric Implicit Q Learning for Automated Warehouse Consolidation
- NeurIPS 2026ABC-Align: Prediction-Powered Alignment with Adaptive Bias Control
- NeurIPS 2026AcceleGrad#: Adaptive Geometry-Aware Acceleration
- NeurIPS 2026AdaCal: Adaptive Calibration for Robust Sparse Attention in Long-Context LLMs
- NeurIPS 2026AdaKVQ: Adaptive Mixed-Precision KV Cache Quantization For Efficient Reasoning Models
- NeurIPS 2026AdaM-Rec: Adaptive Modality Routing for Multimodal Recommendation
- NeurIPS 2026AdaOcc: Adaptive 3D Occupancy Prediction for Embodied Tasks
- NeurIPS 2026AdaPaD: Adaptive Parallel Deflation for PEFT with Self-Correcting Rank Discovery
- NeurIPS 2026AdapMatch: Adaptive Bias Decoupling for Semi-Supervised Partial Label Learning under Unknown Class Distributions
- NeurIPS 2026Adapting to Conflict: Equilibrium Structure and Adaptive Learning in Harmonic Games
- NeurIPS 2026Adaptive and Neutral Theory of Evolution Strategies for Large Language Models
- NeurIPS 2026Adaptive auditing of AI systems with anytime-valid guarantees
- NeurIPS 2026Adaptive Calibration in Non-Stationary Environments
- NeurIPS 2026Adaptive Conditional Gradient Sliding: Projection-Free and Line-Search-Free Acceleration
- NeurIPS 2026Adaptive Covariance and Multi-Layer Alignment for Out-of-Distribution Detection
- NeurIPS 2026Adaptive Delayed-Update Cyclic Algorithm for Variational Inequalities
- NeurIPS 2026Adaptive Feature Propagation for Attribute-Missing Graph Clustering
- NeurIPS 2026Adaptive Fine-Tuning Scheduler for Multi-Tenant Edge LLM via Convergence-Aware Bandits
- NeurIPS 2026Adaptive Generate-Rank-Verify: Inference-Time Search with Costly Verification
- NeurIPS 2026Adaptive Inference for Functionals of M-Estimands
- NeurIPS 2026Adaptive Internal Readout for Native Multimodal Models
- NeurIPS 2026Adaptive Multi-view Graph Contrastive Learning via Fractional Continuous Dynamics
- NeurIPS 2026Adaptive Power Iteration Method for Differentially Private PCA
- NeurIPS 2026Adaptive Prior Selection in Gaussian Process Bandits with Thompson Sampling
- NeurIPS 2026Adaptive Random Forests from Online Learning and Testing by Betting
- NeurIPS 2026Adaptive Scheduling Pipeline For Multi-Instance Asynchronous Reinforcement Learning
- NeurIPS 2026Adaptive Stepsizes for Eligibility Traces in Deep Reinforcement Learning
- NeurIPS 2026Adaptive Target-Charging with Privacy Filters and Individual Accounting
- NeurIPS 2026Adaptive-Margin Masking and Restoration for Balanced Multimodal Learning
- NeurIPS 2026AdaptNC: Adaptive Nonconformity Scores for Conformal Prediction under Distribution Shift
- NeurIPS 2026AdapToPASS: Ambiguity-aware Adaptive Spherical Transformer for Panoramic Semantic Segmentation
- NeurIPS 2026AdaSRU: Adaptive Source-Free Recommendation Unlearning via Gradient-Constrained Optimization
- NeurIPS 2026AdaST: Adaptive Coupling for Spatial-Temporal Forecasting
- NeurIPS 2026AdaTree: Serving-Aware Adaptive Tree Construction for Speculative Decoding
- NeurIPS 2026AdERA: Adaptive Exponent Reuse for Lossless Allgather in Sharded MoE Training
- NeurIPS 2026ADKV: A Low-Overhead Adaptive Delta Quantization for KV Cache in LLM Inference
- NeurIPS 2026AEM: Adaptive Entropy Modulation for Multi-Turn Agentic Reinforcement Learning
- NeurIPS 2026AHPA: Adaptive Hierarchical Prior Alignment for Diffusion Transformers
- NeurIPS 2026AMARIS: Merging Generalist and Specialist LLMs via Adaptive Subspace Inheritance
- NeurIPS 2026AMPS: Adaptive Modality Preference Steering via Functional Entropy
- NeurIPS 2026ANCRe: Adaptive Neural Connection Reassignment for Efficient Depth Scaling
- NeurIPS 2026Anytime-Valid PAC-Bayes Certificates for Adaptive Test-Time Scaling
- NeurIPS 2026AOT-POT: Adaptive Operator Transformation for Large-Scale PDE Pre-training
- NeurIPS 2026ASAP: Fast Adaptive Sliding Agnostic Poisoning Attack on Federated Learning
- NeurIPS 2026Attention-Discounted Adaptive Sampler for Masked Diffusion Language Models
- NeurIPS 2026AVSD: Adaptive-View Self-Distillation by Balancing Consensus and Teacher-Specific Privileged Signals
- NeurIPS 2026BACE: Behavior-Adaptive Connectivity Estimation from Multi-Region Neural Recordings
- NeurIPS 2026BAT3R: Robust Online 3D Reconstruction with Bayesian Adaptive State Updates
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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.