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 12 of 15

551. NeurIPS 2024SAM-Guided Masked Token Prediction for 3D Scene Understanding
552. NeurIPS 2024SAMPa: Sharpness-aware Minimization Parallelized
553. NeurIPS 2024Sample Selection via Contrastive Fragmentation for Noisy Label Regression
554. NeurIPS 2024SAND: Smooth imputation of sparse and noisy functional data with Transformer networks
555. NeurIPS 2024SARAD: Spatial Association-Aware Anomaly Detection and Diagnosis for Multivariate Time Series
556. NeurIPS 2024Satformer: Accurate and Robust Traffic Data Estimation for Satellite Networks
557. NeurIPS 2024Scalable and Effective Arithmetic Tree Generation for Adder and Multiplier Designs
558. NeurIPS 2024Scaling Laws in Linear Regression: Compute, Parameters, and Data
559. NeurIPS 2024SDformer: Similarity-driven Discrete Transformer For Time Series Generation
560. NeurIPS 2024SEL-BALD: Deep Bayesian Active Learning with Selective Labels
561. NeurIPS 2024Self-Guiding Exploration for Combinatorial Problems
562. NeurIPS 2024Self-Healing Machine Learning: A Framework for Autonomous Adaptation in Real-World Environments
563. NeurIPS 2024Self-Labeling the Job Shop Scheduling Problem
564. NeurIPS 2024Self-supervised Transformation Learning for Equivariant Representations
565. NeurIPS 2024Semantic Routing via Autoregressive Modeling
566. NeurIPS 2024Semi-supervised Multi-label Learning with Balanced Binary Angular Margin Loss
567. NeurIPS 2024SocraticLM: Exploring Socratic Personalized Teaching with Large Language Models
568. NeurIPS 2024Source Code Foundation Models are Transferable Binary Analysis Knowledge Bases
569. NeurIPS 2024SpaFL: Communication-Efficient Federated Learning With Sparse Models And Low Computational Overhead
570. NeurIPS 2024Spiking Transformer with Experts Mixture
571. NeurIPS 2024SplitNeRF: Split Sum Approximation Neural Field for Joint Geometry, Illumination, and Material Estimation
572. NeurIPS 2024SS1: Accelerating Inference with Fast and Expressive Sketch Structured Transform
573. NeurIPS 2024ST$_k$: A Scalable Module for Solving Top-k Problems
574. NeurIPS 2024STONE: A Submodular Optimization Framework for Active 3D Object Detection
575. NeurIPS 2024Stronger Than You Think: Benchmarking Weak Supervision on Realistic Tasks
576. NeurIPS 2024Structural Inference of Dynamical Systems with Conjoined State Space Models
577. NeurIPS 2024Structured Matrix Basis for Multivariate Time Series Forecasting with Interpretable Dynamics
578. NeurIPS 2024Suitable is the Best: Task-Oriented Knowledge Fusion in Vulnerability Detection
579. NeurIPS 2024Supervised Kernel Thinning
580. NeurIPS 2024Synthetic Programming Elicitation for Text-to-Code in Very Low-Resource Programming and Formal Languages
581. NeurIPS 2024TabEBM: A Tabular Data Augmentation Method with Distinct Class-Specific Energy-Based Models
582. NeurIPS 2024TAIA: Large Language Models are Out-of-Distribution Data Learners
583. NeurIPS 2024Task-Agnostic Machine-Learning-Assisted Inference
584. NeurIPS 2024Task-oriented Time Series Imputation Evaluation via Generalized Representers
585. NeurIPS 2024Textual Training for the Hassle-Free Removal of Unwanted Visual Data: Case Studies on OOD and Hateful Image Detection
586. NeurIPS 2024The ALCHEmist: Automated Labeling 500x CHEaper than LLM Data Annotators
587. NeurIPS 2024The Impact of Initialization on LoRA Finetuning Dynamics
588. NeurIPS 2024The Importance of Being Scalable: Improving the Speed and Accuracy of Neural Network Interatomic Potentials Across Chemical Domains
589. NeurIPS 2024The Map Equation Goes Neural: Mapping Network Flows with Graph Neural Networks
590. NeurIPS 2024The Power of Hard Attention Transformers on Data Sequences: A formal language theoretic perspective
591. NeurIPS 2024The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning
592. NeurIPS 2024Theoretical Investigations and Practical Enhancements on Tail Task Risk Minimization in Meta Learning
593. NeurIPS 2024Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting
594. NeurIPS 2024Time-Varying LoRA: Towards Effective Cross-Domain Fine-Tuning of Diffusion Models
595. NeurIPS 2024Topological Hidden Markov Models
596. NeurIPS 2024Toward a Stable, Fair, and Comprehensive Evaluation of Object Hallucination in Large Vision-Language Models
597. NeurIPS 2024Toward Robust Incomplete Multimodal Sentiment Analysis via Hierarchical Representation Learning
598. NeurIPS 2024Towards Accurate and Fair Cognitive Diagnosis via Monotonic Data Augmentation
599. NeurIPS 2024Towards Diverse Device Heterogeneous Federated Learning via Task Arithmetic Knowledge Integration
600. NeurIPS 2024Towards General Loop Invariant Generation: A Benchmark of Programs with Memory Manipulation

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.