General ML · supervised learning papers, 2023–2026

Key findings

• General ML · supervised learning went from 263 papers in 2023 to 279 in 2026, roughly 1.1x in three years.
• NeurIPS publishes the most General ML · supervised learning work: 731 papers from 2023 to 2026, 51% of the four-venue total.
• The fastest-growing overlap is with Diffusion Models: papers tagged with both rose from 2 in 2023 to 9 in 2026.
• Among the 6 topics under General Machine Learning, it ranks #3 by 2026 paper count; the fastest grower in the group, General ML · evaluation, is up 4.3x versus 1.1x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026AOT-POT: Adaptive Operator Transformation for Large-Scale PDE Pre-training
• ICML 2026$\mathbb{R}^{2k}$ is Theoretically Large Enough for Embedding-based Top-$k$ Retrieval
• ICLR 2026Adaptive Concept Discovery for Interpretable Few-Shot Text Classification
• CVPR 2026Enabling Supervised Learning of Generative Signatures for Generalized AI-Generated Images
• NeurIPS 2025$\boldsymbol{\lambda}$-Orthogonality Regularization for Compatible Representation Learning
• ICML 2025Ab Initio Nonparametric Variable Selection for Scalable Symbolic Regression with Large $p$
• ICLR 2025Balanced Neural ODEs: nonlinear model order reduction and Koopman operator approximations
• CVPR 2025A Unified Framework for Heterogeneous Semi-supervised Learning
• NeurIPS 2024(FL)$^2$: Overcoming Few Labels in Federated Semi-Supervised Learning
• ICML 2024A New Branch-and-Bound Pruning Framework for $\ell_0$-Regularized Problems
• ICLR 2024A Study of Bayesian Neural Network Surrogates for Bayesian Optimization
• CVPR 2024Efficient Hyperparameter Optimization with Adaptive Fidelity Identification
• NeurIPS 2023A Graph-Theoretic Framework for Understanding Open-World Semi-Supervised Learning
• ICML 2023A Model-free Closeness-of-influence Test for Features in Supervised Learning
• ICLR 2023Deep Ranking Ensembles for Hyperparameter Optimization
• CVPR 2023Boosting Semi-Supervised Learning by Exploiting All Unlabeled Data
• NeurIPS 2026Approximation of Maximally Monotone Operators : A Graph Convergence Perspective
• ICML 2026Active Budget Allocation for Efficient Scaling Law Estimation via Surrogate-Guided Pruning
• ICLR 2026Buckingham $\pi$-Invariant Test‑Time Projection for Robust PDE Surrogate Modeling
• CVPR 2026HyperNAS Enhancing Architecture Representation for NAS Predictor via Hypernetwork

All General ML · supervised learning papers

731 papers, page 8 of 15

351. NeurIPS 2024DRACO: A Denoising-Reconstruction Autoencoder for Cryo-EM
352. NeurIPS 2024Drift-Resilient TabPFN: In-Context Learning Temporal Distribution Shifts on Tabular Data
353. NeurIPS 2024Dual-Personalizing Adapter for Federated Foundation Models
354. NeurIPS 2024Efficiency for Free: Ideal Data Are Transportable Representations
355. NeurIPS 2024Efficient and Sharp Off-Policy Evaluation in Robust Markov Decision Processes
356. NeurIPS 2024Efficient Streaming Algorithms for Graphlet Sampling
357. NeurIPS 2024Embedding Dimension of Contrastive Learning and $k$-Nearest Neighbors
358. NeurIPS 2024Empowering Active Learning for 3D Molecular Graphs with Geometric Graph Isomorphism
359. NeurIPS 2024End-to-End Ontology Learning with Large Language Models
360. NeurIPS 2024Enhancing Domain Adaptation through Prompt Gradient Alignment
361. NeurIPS 2024Enhancing LLM Reasoning via Vision-Augmented Prompting
362. NeurIPS 2024Enhancing Semi-Supervised Learning via Representative and Diverse Sample Selection
363. NeurIPS 2024Evaluate calibration of language models with folktexts
364. NeurIPS 2024Evidential Mixture Machines: Deciphering Multi-Label Correlations for Active Learning Sensitivity
365. NeurIPS 2024Evidential Stochastic Differential Equations for Time-Aware Sequential Recommendation
366. NeurIPS 2024Ex Uno Pluria: Insights on Ensembling in Low Precision Number Systems
367. NeurIPS 2024Expert-level protocol translation for self-driving labs
368. NeurIPS 2024Exploiting Activation Sparsity with Dense to Dynamic-k Mixture-of-Experts Conversion
369. NeurIPS 2024Exploiting Representation Curvature for Boundary Detection in Time Series
370. NeurIPS 2024Exploring Structured Semantic Priors Underlying Diffusion Score for Test-time Adaptation
371. NeurIPS 2024Extending Multi-modal Contrastive Representations
372. NeurIPS 2024Fast Iterative Hard Thresholding Methods with Pruning Gradient Computations
373. NeurIPS 2024Fast T2T: Optimization Consistency Speeds Up Diffusion-Based Training-to-Testing Solving for Combinatorial Optimization
374. NeurIPS 2024Fast Tree-Field Integrators: From Low Displacement Rank to Topological Transformers
375. NeurIPS 2024Federated Fine-tuning of Large Language Models under Heterogeneous Tasks and Client Resources
376. NeurIPS 2024Federated Learning over Connected Modes
377. NeurIPS 2024FedLPA: One-shot Federated Learning with Layer-Wise Posterior Aggregation
378. NeurIPS 2024FedNE: Surrogate-Assisted Federated Neighbor Embedding for Dimensionality Reduction
379. NeurIPS 2024FinCon: A Synthesized LLM Multi-Agent System with Conceptual Verbal Reinforcement for Enhanced Financial Decision Making
380. NeurIPS 2024Fine Tuning Out-of-Vocabulary Item Recommendation with User Sequence Imagination
381. NeurIPS 2024Fine-Tuning Personalization in Federated Learning to Mitigate Adversarial Clients
382. NeurIPS 2024Fixed points of nonnegative neural networks
383. NeurIPS 2024FlexPlanner: Flexible 3D Floorplanning via Deep Reinforcement Learning in Hybrid Action Space with Multi-Modality Representation
384. NeurIPS 2024FlexSBDD: Structure-Based Drug Design with Flexible Protein Modeling
385. NeurIPS 2024Fourier Neural Operator with Learned Deformations for PDEs on General Geometries
386. NeurIPS 2024Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning
387. NeurIPS 2024Frequency-aware Generative Models for Multivariate Time Series Imputation
388. NeurIPS 2024From News to Forecast: Integrating Event Analysis in LLM-Based Time Series Forecasting with Reflection
389. NeurIPS 2024Full-Atom Peptide Design with Geometric Latent Diffusion
390. NeurIPS 2024Fundamental Limits of Prompt Compression: A Rate-Distortion Framework for Black-Box Language Models
391. NeurIPS 2024FUSE: Fast Unified Simulation and Estimation for PDEs
392. NeurIPS 2024FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion
393. NeurIPS 2024G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models
394. NeurIPS 2024Gated Inference Network: Inference and Learning State-Space Models
395. NeurIPS 2024Generalized Protein Pocket Generation with Prior-Informed Flow Matching
396. NeurIPS 2024Generative Adversarial Model-Based Optimization via Source Critic Regularization
397. NeurIPS 2024Generative Modeling of Molecular Dynamics Trajectories
398. NeurIPS 2024Genetic-guided GFlowNets for Sample Efficient Molecular Optimization
399. NeurIPS 2024Geometric Analysis of Nonlinear Manifold Clustering
400. NeurIPS 2024Get Rid of Isolation: A Continuous Multi-task Spatio-Temporal Learning Framework

FAQ

How many General ML · supervised learning papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

1,425 in total: 263 in 2023, 511 in 2024, 372 in 2025, 279 in 2026.

How many General ML · supervised learning papers are at NeurIPS 2026?

NeurIPS 2026 has 87 General ML · supervised learning papers, versus 171 the year before.

How many General ML · supervised learning papers are at ICLR 2026?

ICLR 2026 has 48 General ML · supervised learning papers, versus 40 the year before.

How many General ML · supervised learning papers are at ICML 2026?

ICML 2026 has 111 General ML · supervised learning papers, versus 114 the year before.

How many General ML · supervised learning papers are at CVPR 2026?

CVPR 2026 has 33 General ML · supervised learning papers, versus 47 the year before.

Which conference publishes the most General ML · supervised learning papers?

NeurIPS, with 731 papers from 2023 to 2026.