General ML · unsupervised and semisupervised learning papers, 2023–2026

Key findings

• General ML · unsupervised and semisupervised learning went from 649 papers in 2023 to 799 in 2026, roughly 1.2x in three years.
• ICML publishes the most General ML · unsupervised and semisupervised learning work: 859 papers from 2023 to 2026, 32% of the four-venue total.
• The fastest-growing overlap is with Deep learning · self supervised learning: papers tagged with both rose from 23 in 2023 to 86 in 2026.
• Among the 6 topics under General Machine Learning, it ranks #1 by 2026 paper count; the fastest grower in the group, General ML · evaluation, is up 4.3x versus 1.2x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026A general kernel framework for non-CND distance measures using $|\mathcal{D}|$-dimensional sparse landmark embeddings
• ICML 2026$\mu$pscaling small models: Principled warm starts and hyperparameter transfer
• ICLR 2026A Generalized Geometric Theoretical Framework of Centroid Discriminant Analysis for Linear Classification of Multi-dimensional Data
• CVPR 2026COG Confidence-aware Optimal Geometric Correspondence for Unsupervised Single-reference Novel Object
• NeurIPS 2025$O(\sqrt{T})$ Static Regret and Instance Dependent Constraint Violation for Constrained Online Convex Optimization
• ICML 2025A Square Peg in a Square Hole: Meta-Expert for Long-Tailed Semi-Supervised Learning
• ICLR 2025A General Framework for Producing Interpretable Semantic Text Embeddings
• CVPR 2025A General Adaptive Dual-level Weighting Mechanism for Remote Sensing Pansharpening
• NeurIPS 2024GlotCC: An Open Broad-Coverage CommonCrawl Corpus and Pipeline for Minority Languages
• ICML 2024CKGConv: General Graph Convolution with Continuous Kernels
• ICLR 2024A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks
• CVPR 2024Dual Prototype Attention for Unsupervised Video Object Segmentation
• NeurIPS 2023$H$-Consistency Bounds: Characterization and Extensions
• ICML 2023A Mathematical Model for Curriculum Learning for Parities
• ICLR 2023A General Framework For Proving The Equivariant Strong Lottery Ticket Hypothesis
• CVPR 2023A General Regret Bound of Preconditioned Gradient Method for DNN Training
• NeurIPS 2026Attention-based PCA
• ICML 2026A Control-Theoretic View of Mamba on Stability and Robustness
• ICLR 2026A Single Architecture for Representing Invariance Under Any Space Group
• CVPR 2026CROWn A Unified Framework for Anti-Aliased Downsampling and Phase-Calibrated Fusion

All General ML · unsupervised and semisupervised learning papers

859 papers, page 13 of 18

601. ICML 2024An Improved Finite-time Analysis of Temporal Difference Learning with Deep Neural Networks
602. ICML 2024An Unsupervised Approach for Periodic Source Detection in Time Series
603. ICML 2024Averaging $n$-step Returns Reduces Variance in Reinforcement Learning
604. ICML 2024Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains
605. ICML 2024Bootstrapping Fisher Market Equilibrium and First-Price Pacing Equilibrium
606. ICML 2024Causal Representation Learning from Multiple Distributions: A General Setting
607. ICML 2024CKGConv: General Graph Convolution with Continuous Kernels
608. ICML 2024Collaborative Learning with Different Labeling Functions
609. ICML 2024Compression of Structured Data with Autoencoders: Provable Benefit of Nonlinearities and Depth
610. ICML 2024Concentration Inequalities for General Functions of Heavy-Tailed Random Variables
611. ICML 2024Constrained Ensemble Exploration for Unsupervised Skill Discovery
612. ICML 2024Convergence and Complexity Guarantee for Inexact First-order Riemannian Optimization Algorithms
613. ICML 2024Convergence of Some Convex Message Passing Algorithms to a Fixed Point
614. ICML 2024convSeq: Fast and Scalable Method for Detecting Patterns in Spike Data
615. ICML 2024Debating with More Persuasive LLMs Leads to More Truthful Answers
616. ICML 2024DiffAug: Enhance Unsupervised Contrastive Learning with Domain-Knowledge-Free Diffusion-based Data Augmentation
617. ICML 2024Discovering Bias in Latent Space: An Unsupervised Debiasing Approach
618. ICML 2024Disentanglement Learning via Topology
619. ICML 2024Do Efficient Transformers Really Save Computation?
620. ICML 2024Double Stochasticity Gazes Faster: Snap-Shot Decentralized Stochastic Gradient Tracking Methods
621. ICML 2024Dynamic Facility Location in High Dimensional Euclidean Spaces
622. ICML 2024EfficientZero V2: Mastering Discrete and Continuous Control with Limited Data
623. ICML 2024Equivariance via Minimal Frame Averaging for More Symmetries and Efficiency
624. ICML 2024Estimating Barycenters of Distributions with Neural Optimal Transport
625. ICML 2024Experts Don't Cheat: Learning What You Don't Know By Predicting Pairs
626. ICML 2024Faster Sampling via Stochastic Gradient Proximal Sampler
627. ICML 2024Few-Shot Unsupervised Implicit Neural Shape Representation Learning with Spatial Adversaries
628. ICML 2024Finding NEM-U: Explaining unsupervised representation learning through neural network generated explanation masks
629. ICML 2024Generalization Analysis of Stochastic Weight Averaging with General Sampling
630. ICML 2024GeoMFormer: A General Architecture for Geometric Molecular Representation Learning
631. ICML 2024GNNs Also Deserve Editing, and They Need It More Than Once
632. ICML 2024How Flawed Is ECE? An Analysis via Logit Smoothing
633. ICML 2024Identification and Estimation for Nonignorable Missing Data: A Data Fusion Approach
634. ICML 2024IM-Unpack: Training and Inference with Arbitrarily Low Precision Integers
635. ICML 2024Improved Bounds for Pure Private Agnostic Learning: Item-Level and User-Level Privacy
636. ICML 2024Improved Stability and Generalization Guarantees of the Decentralized SGD Algorithm
637. ICML 2024Improving Diffusion Models for Inverse Problems Using Optimal Posterior Covariance
638. ICML 2024Improving Neural Logic Machines via Failure Reflection
639. ICML 2024IW-GAE: Importance weighted group accuracy estimation for improved calibration and model selection in unsupervised domain adaptation
640. ICML 2024Latent Noise Segmentation: How Neural Noise Leads to the Emergence of Segmentation and Grouping
641. ICML 2024Learning to Explore in POMDPs with Informational Rewards
642. ICML 2024Let Go of Your Labels with Unsupervised Transfer
643. ICML 2024Leveraging VLM-Based Pipelines to Annotate 3D Objects
644. ICML 2024LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views
645. ICML 2024Localizing Task Information for Improved Model Merging and Compression
646. ICML 2024LPGD: A General Framework for Backpropagation through Embedded Optimization Layers
647. ICML 2024Model-Free Robust $\phi$-Divergence Reinforcement Learning Using Both Offline and Online Data
648. ICML 2024No-Regret Reinforcement Learning in Smooth MDPs
649. ICML 2024On Interpolating Experts and Multi-Armed Bandits
650. ICML 2024On the Consistency of Kernel Methods with Dependent Observations

FAQ

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

2,683 in total: 649 in 2023, 553 in 2024, 682 in 2025, 799 in 2026.

How many General ML · unsupervised and semisupervised learning papers are at NeurIPS 2026?

NeurIPS 2026 has 194 General ML · unsupervised and semisupervised learning papers, versus 203 the year before.

How many General ML · unsupervised and semisupervised learning papers are at ICLR 2026?

ICLR 2026 has 187 General ML · unsupervised and semisupervised learning papers, versus 174 the year before.

How many General ML · unsupervised and semisupervised learning papers are at ICML 2026?

ICML 2026 has 348 General ML · unsupervised and semisupervised learning papers, versus 239 the year before.

How many General ML · unsupervised and semisupervised learning papers are at CVPR 2026?

CVPR 2026 has 70 General ML · unsupervised and semisupervised learning papers, versus 66 the year before.

Which conference publishes the most General ML · unsupervised and semisupervised learning papers?

ICML, with 859 papers from 2023 to 2026.