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 17 of 29

801. NeurIPS 2024AdaNovo: Towards Robust \emph{De Novo} Peptide Sequencing in Proteomics against Data Biases
802. NeurIPS 2024Adaptive Domain Learning for Cross-domain Image Denoising
803. NeurIPS 2024Addressing Hidden Confounding with Heterogeneous Observational Datasets for Recommendation
804. NeurIPS 2024Aligning Target-Aware Molecule Diffusion Models with Exact Energy Optimization
805. NeurIPS 2024Amortized Active Causal Induction with Deep Reinforcement Learning
806. NeurIPS 2024Amortized Planning with Large-Scale Transformers: A Case Study on Chess
807. NeurIPS 2024An Autoencoder-Like Nonnegative Matrix Co-Factorization for Improved Student Cognitive Modeling
808. NeurIPS 2024An exactly solvable model for emergence and scaling laws in the multitask sparse parity problem
809. NeurIPS 2024Antigen-Specific Antibody Design via Direct Energy-based Preference Optimization
810. NeurIPS 2024Any2Graph: Deep End-To-End Supervised Graph Prediction With An Optimal Transport Loss
811. NeurIPS 2024Approximating mutual information of high-dimensional variables using learned representations
812. NeurIPS 2024Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation?
813. NeurIPS 2024Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective
814. NeurIPS 2024AUC Maximization under Positive Distribution Shift
815. NeurIPS 2024Autoformalize Mathematical Statements by Symbolic Equivalence and Semantic Consistency
816. NeurIPS 2024AutoManual: Constructing Instruction Manuals by LLM Agents via Interactive Environmental Learning
817. NeurIPS 2024Automated Multi-Task Learning for Joint Disease Prediction on Electronic Health Records
818. NeurIPS 2024Automatic Outlier Rectification via Optimal Transport
819. NeurIPS 2024Automatically Learning Hybrid Digital Twins of Dynamical Systems
820. NeurIPS 2024BackTime: Backdoor Attacks on Multivariate Time Series Forecasting
821. NeurIPS 2024Batched Energy-Entropy acquisition for Bayesian Optimization
822. NeurIPS 2024Bayesian Adaptive Calibration and Optimal Design
823. NeurIPS 2024Bayesian Optimisation with Unknown Hyperparameters: Regret Bounds Logarithmically Closer to Optimal
824. NeurIPS 2024Better by default: Strong pre-tuned MLPs and boosted trees on tabular data
825. NeurIPS 2024Beyond Efficiency: Molecular Data Pruning for Enhanced Generalization
826. NeurIPS 2024BiScope: AI-generated Text Detection by Checking Memorization of Preceding Tokens
827. NeurIPS 2024Boosted Conformal Prediction Intervals
828. NeurIPS 2024Boosting the Transferability of Adversarial Attack on Vision Transformer with Adaptive Token Tuning
829. NeurIPS 2024Boosting Transferability and Discriminability for Time Series Domain Adaptation
830. NeurIPS 2024Boundary Matters: A Bi-Level Active Finetuning Method
831. NeurIPS 2024Breaking Determinism: Fuzzy Modeling of Sequential Recommendation Using Discrete State Space Diffusion Model
832. NeurIPS 2024Breaking Semantic Artifacts for Generalized AI-generated Image Detection
833. NeurIPS 2024Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?
834. NeurIPS 2024Chain of Thoughtlessness? An Analysis of CoT in Planning
835. NeurIPS 2024Classification Done Right for Vision-Language Pre-Training
836. NeurIPS 2024CLIPLoss and Norm-Based Data Selection Methods for Multimodal Contrastive Learning
837. NeurIPS 2024CodeRosetta: Pushing the Boundaries of Unsupervised Code Translation for Parallel Programming
838. NeurIPS 2024Collaborative Cognitive Diagnosis with Disentangled Representation Learning for Learner Modeling
839. NeurIPS 2024Collaborative Refining for Learning from Inaccurate Labels
840. NeurIPS 2024CoLoR-Filter: Conditional Loss Reduction Filtering for Targeted Language Model Pre-training
841. NeurIPS 2024Combining Statistical Depth and Fermat Distance for Uncertainty Quantification
842. NeurIPS 2024Computerized Adaptive Testing via Collaborative Ranking
843. NeurIPS 2024Con4m: Context-aware Consistency Learning Framework for Segmented Time Series Classification
844. NeurIPS 2024Conditional Outcome Equivalence: A Quantile Alternative to CATE
845. NeurIPS 2024Connecting Joint-Embedding Predictive Architecture with Contrastive Self-supervised Learning
846. NeurIPS 2024Construction and Application of Materials Knowledge Graph in Multidisciplinary Materials Science via Large Language Model
847. NeurIPS 2024Continuous Contrastive Learning for Long-Tailed Semi-Supervised Recognition
848. NeurIPS 2024Cross-Device Collaborative Test-Time Adaptation
849. NeurIPS 2024CryoSPIN: Improving Ab-Initio Cryo-EM Reconstruction with Semi-Amortized Pose Inference
850. NeurIPS 2024CSPG: Crossing Sparse Proximity Graphs for Approximate Nearest Neighbor Search

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.