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

2,682 papers, page 19 of 54

901. ICLR 2025Dynamic Loss-Based Sample Reweighting for Improved Large Language Model Pretraining
902. ICLR 2025Efficient Distribution Matching of Representations via Noise-Injected Deep InfoMax
903. ICLR 2025ElasticTok: Adaptive Tokenization for Image and Video
904. ICLR 2025Elliptic Loss Regularization
905. ICLR 2025EmbedLLM: Learning Compact Representations of Large Language Models
906. ICLR 2025Enhance Multi-View Classification Through Multi-Scale Alignment and Expanded Boundary
907. ICLR 2025Exploring a Principled Framework for Deep Subspace Clustering
908. ICLR 2025Extending Mercer's expansion to indefinite and asymmetric kernels
909. ICLR 2025FairDen: Fair Density-Based Clustering
910. ICLR 2025Fast unsupervised ground metric learning with tree-Wasserstein distance
911. ICLR 2025Flash Inference: Near Linear Time Inference for Long Convolution Sequence Models and Beyond
912. ICLR 2025Flow Matching with General Discrete Paths: A Kinetic-Optimal Perspective
913. ICLR 2025For Better or For Worse? Learning Minimum Variance Features With Label Augmentation
914. ICLR 2025Forget the Data and Fine-Tuning! Just Fold the Network to Compress
915. ICLR 2025Formation of Representations in Neural Networks
916. ICLR 2025GaussianBlock: Building Part-Aware Compositional and Editable 3D Scene by Primitives and Gaussians
917. ICLR 2025GDrag:Towards General-Purpose Interactive Editing with Anti-ambiguity Point Diffusion
918. ICLR 2025General Scene Adaptation for Vision-and-Language Navigation
919. ICLR 2025Generalized Behavior Learning from Diverse Demonstrations
920. ICLR 2025GIFT: Unlocking Full Potential of Labels in Distilled Dataset at Near-zero Cost
921. ICLR 2025Global Identifiability of Overcomplete Dictionary Learning via L1 and Volume Minimization
922. ICLR 2025Global Well-posedness and Convergence Analysis of Score-based Generative Models via Sharp Lipschitz Estimates
923. ICLR 2025Gramian Multimodal Representation Learning and Alignment
924. ICLR 2025Group Downsampling with Equivariant Anti-aliasing
925. ICLR 2025Gyrogroup Batch Normalization
926. ICLR 2025HADAMRNN: BINARY AND SPARSE TERNARY ORTHOGONAL RNNS
927. ICLR 2025HG-Adapter: Improving Pre-Trained Heterogeneous Graph Neural Networks with Dual Adapters
928. ICLR 2025Hot-pluggable Federated Learning: Bridging General and Personalized FL via Dynamic Selection
929. ICLR 2025I-Con: A Unifying Framework for Representation Learning
930. ICLR 2025Identification of Intermittent Temporal Latent Process
931. ICLR 2025Improving Deep Regression with Tightness
932. ICLR 2025Improving Generalization and Robustness in SNNs Through Signed Rate Encoding and Sparse Encoding Attacks
933. ICLR 2025Improving Neural Network Accuracy by Concurrently Training with a Twin Network
934. ICLR 2025In-Context Editing: Learning Knowledge from Self-Induced Distributions
935. ICLR 2025Instance-dependent Early Stopping
936. ICLR 2025Interaction Asymmetry: A General Principle for Learning Composable Abstractions
937. ICLR 2025Interpretable Unsupervised Joint Denoising and Enhancement for Real-World low-light Scenarios
938. ICLR 2025Intrinsic Dimension Correlation: uncovering nonlinear connections in multimodal representations
939. ICLR 2025Isometric Regularization for Manifolds of Functional Data
940. ICLR 2025JPEG Inspired Deep Learning
941. ICLR 2025Kinetix: Investigating the Training of General Agents through Open-Ended Physics-Based Control Tasks
942. ICLR 2025Large (Vision) Language Models are Unsupervised In-Context Learners
943. ICLR 2025Learning a Fast Mixing Exogenous Block MDP using a Single Trajectory
944. ICLR 2025Learning from weak labelers as constraints
945. ICLR 2025Learning Structured Representations by Embedding Class Hierarchy with Fast Optimal Transport
946. ICLR 2025Learning to Explore and Exploit with GNNs for Unsupervised Combinatorial Optimization
947. ICLR 2025LLMOPT: Learning to Define and Solve General Optimization Problems from Scratch
948. ICLR 2025LoCoDL: Communication-Efficient Distributed Learning with Local Training and Compression
949. ICLR 2025Long-Short Decision Transformer: Bridging Global and Local Dependencies for Generalized Decision-Making
950. ICLR 2025Looped Transformers for Length Generalization

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.