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

1,424 papers, page 7 of 29

301. CVPR 2025Learning Class Prototypes for Unified Sparse-Supervised 3D Object Detection
302. CVPR 2025Learning Dynamic Collaborative Network for Semi-supervised 3D Vessel Segmentation
303. CVPR 2025Mind the Gap: Confidence Discrepancy Can Guide Federated Semi-Supervised Learning Across Pseudo-Mismatch
304. CVPR 2025NoPain: No-box Point Cloud Attack via Optimal Transport Singular Boundary
305. CVPR 2025ODA-GAN: Orthogonal Decoupling Alignment GAN Assisted by Weakly-supervised Learning for Virtual Immunohistochemistry Staining
306. CVPR 2025On-Device Self-Supervised Learning of Low-Latency Monocular Depth from Only Events
307. CVPR 2025Point-to-Region Loss for Semi-Supervised Point-Based Crowd Counting
308. CVPR 2025Point2RBox-v2: Rethinking Point-supervised Oriented Object Detection with Spatial Layout Among Instances
309. CVPR 2025POT: Prototypical Optimal Transport for Weakly Supervised Semantic Segmentation
310. CVPR 2025Rotation-Equivariant Self-Supervised Method in Image Denoising
311. CVPR 2025Self-Supervised Cross-View Correspondence with Predictive Cycle Consistency
312. CVPR 2025Self-Supervised Large Scale Point Cloud Completion for Archaeological Site Restoration
313. CVPR 2025Self-Supervised Learning for Color Spike Camera Reconstruction
314. CVPR 2025Self-Supervised Spatial Correspondence Across Modalities
315. CVPR 2025SemiETS: Integrating Spatial and Content Consistencies for Semi-Supervised End-to-end Text Spotting
316. CVPR 2025Sonata: Self-Supervised Learning of Reliable Point Representations
317. CVPR 2025TAGA: Self-supervised Learning for Template-free Animatable Gaussian Articulated Model
318. CVPR 2025Take the Bull by the Horns: Learning to Segment Hard Samples
319. CVPR 2025Unlocking the Potential of Unlabeled Data in Semi-Supervised Domain Generalization
320. CVPR 2025VoteFlow: Enforcing Local Rigidity in Self-Supervised Scene Flow
321. CVPR 2025Weakly Supervised Contrastive Adversarial Training for Learning Robust Features from Semi-supervised Data
322. CVPR 2025Weakly Supervised Semantic Segmentation via Progressive Confidence Region Expansion
323. CVPR 2025Where's the Liability in the Generative Era? Recovery-based Black-Box Detection of AI-Generated Content
324. CVPR 2025WISH: Weakly Supervised Instance Segmentation using Heterogeneous Labels
325. CVPR 2025You See it, You Got it: Learning 3D Creation on Pose-Free Videos at Scale
326. ICLR 2025Active Learning for Neural PDE Solvers
327. ICLR 2025AgentSquare: Automatic LLM Agent Search in Modular Design Space
328. ICLR 2025Balanced Neural ODEs: nonlinear model order reduction and Koopman operator approximations
329. ICLR 2025Bayesian Optimization via Continual Variational Last Layer Training
330. ICLR 2025Boosting Ray Search Procedure of Hard-label Attacks with Transfer-based Priors
331. ICLR 2025Conditional Testing based on Localized Conformal $p$-values
332. ICLR 2025Conformalized Survival Analysis for General Right-Censored Data
333. ICLR 2025CONGO: Compressive Online Gradient Optimization
334. ICLR 2025CViT: Continuous Vision Transformer for Operator Learning
335. ICLR 2025Deconstructing Denoising Diffusion Models for Self-Supervised Learning
336. ICLR 2025Discretization-invariance? On the Discretization Mismatch Errors in Neural Operators
337. ICLR 2025Generalizable Motion Planning via Operator Learning
338. ICLR 2025Group Downsampling with Equivariant Anti-aliasing
339. ICLR 2025High-dimensional Analysis of Knowledge Distillation: Weak-to-Strong Generalization and Scaling Laws
340. ICLR 2025High-Dimensional Bayesian Optimisation with Gaussian Process Prior Variational Autoencoders
341. ICLR 2025Interaction Asymmetry: A General Principle for Learning Composable Abstractions
342. ICLR 2025LayerDAG: A Layerwise Autoregressive Diffusion Model for Directed Acyclic Graph Generation
343. ICLR 2025Learning Chaos In A Linear Way
344. ICLR 2025Learning Distributions of Complex Fluid Simulations with Diffusion Graph Networks
345. ICLR 2025Lipschitz Bandits in Optimal Space
346. ICLR 2025MAP: Low-compute Model Merging with Amortized Pareto Fronts via Quadratic Approximation
347. ICLR 2025MGCFNN: A Neural MultiGrid Solver with Novel Fourier Neural Network for High Wave Number Helmholtz Equations
348. ICLR 2025Model-Agnostic Knowledge Guided Correction for Improved Neural Surrogate Rollout
349. ICLR 2025Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning
350. ICLR 2025Noise Separation guided Candidate Label Reconstruction for Noisy Partial Label Learning

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.