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 39 of 54

1901. ICML 2024Transport of Algebraic Structure to Latent Embeddings
1902. ICML 2024UGrid: An Efficient-And-Rigorous Neural Multigrid Solver for Linear PDEs
1903. ICML 2024Uncertainty-Aware Reward-Free Exploration with General Function Approximation
1904. ICML 2024Understanding MLP-Mixer as a wide and sparse MLP
1905. ICML 2024Universal Consistency of Wide and Deep ReLU Neural Networks and Minimax Optimal Convergence Rates for Kolmogorov-Donoho Optimal Function Classes
1906. ICML 2024Unsupervised Concept Discovery Mitigates Spurious Correlations
1907. ICML 2024Unsupervised Domain Adaptation for Anatomical Structure Detection in Ultrasound Images
1908. ICML 2024Unsupervised Evaluation of Code LLMs with Round-Trip Correctness
1909. ICML 2024Unsupervised Parameter-free Simplicial Representation Learning with Scattering Transforms
1910. ICML 2024Unsupervised Representation Learning of Brain Activity via Bridging Voxel Activity and Functional Connectivity
1911. ICML 2024Unsupervised Zero-Shot Reinforcement Learning via Functional Reward Encodings
1912. ICML 2024UP2ME: Univariate Pre-training to Multivariate Fine-tuning as a General-purpose Framework for Multivariate Time Series Analysis
1913. ICML 2024What is the Long-Run Distribution of Stochastic Gradient Descent? A Large Deviations Analysis
1914. ICML 2024WISER: Weak Supervision and Supervised Representation Learning to Improve Drug Response Prediction in Cancer
1915. ICML 2024Zero-Shot Unsupervised and Text-Based Audio Editing Using DDPM Inversion
1916. NeurIPS 2024A Nearly Optimal and Low-Switching Algorithm for Reinforcement Learning with General Function Approximation
1917. NeurIPS 2024Accelerating Greedy Coordinate Gradient and General Prompt Optimization via Probe Sampling
1918. NeurIPS 2024Active Learning of General Halfspaces: Label Queries vs Membership Queries
1919. NeurIPS 2024Adaptive Exploration for Data-Efficient General Value Function Evaluations
1920. NeurIPS 2024Adversarial Representation Engineering: A General Model Editing Framework for Large Language Models
1921. NeurIPS 2024Aligning Embeddings and Geometric Random Graphs: Informational Results and Computational Approaches for the Procrustes-Wasserstein Problem
1922. NeurIPS 2024Approximately Equivariant Neural Processes
1923. NeurIPS 2024ARC: A Generalist Graph Anomaly Detector with In-Context Learning
1924. NeurIPS 2024Are Graph Neural Networks Optimal Approximation Algorithms?
1925. NeurIPS 2024Articulate your NeRF: Unsupervised articulated object modeling via conditional view synthesis
1926. NeurIPS 2024Beyond Redundancy: Information-aware Unsupervised Multiplex Graph Structure Learning
1927. NeurIPS 2024CodeRosetta: Pushing the Boundaries of Unsupervised Code Translation for Parallel Programming
1928. NeurIPS 2024Compositional PAC-Bayes: Generalization of GNNs with persistence and beyond
1929. NeurIPS 2024Contextual Multinomial Logit Bandits with General Value Functions
1930. NeurIPS 2024Corruption-Robust Linear Bandits: Minimax Optimality and Gap-Dependent Misspecification
1931. NeurIPS 2024DA-Ada: Learning Domain-Aware Adapter for Domain Adaptive Object Detection
1932. NeurIPS 2024Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context Learning
1933. NeurIPS 2024Differential Privacy in Scalable General Kernel Learning via $K$-means Nystr{\"o}m Random Features
1934. NeurIPS 2024Diffusion-based Layer-wise Semantic Reconstruction for Unsupervised Out-of-Distribution Detection
1935. NeurIPS 2024Directional Smoothness and Gradient Methods: Convergence and Adaptivity
1936. NeurIPS 2024Discovering plasticity rules that organize and maintain neural circuits
1937. NeurIPS 2024Disentangled Unsupervised Skill Discovery for Efficient Hierarchical Reinforcement Learning
1938. NeurIPS 2024Dissect Black Box: Interpreting for Rule-Based Explanations in Unsupervised Anomaly Detection
1939. NeurIPS 2024Do's and Don'ts: Learning Desirable Skills with Instruction Videos
1940. NeurIPS 2024Embedding Dimension of Contrastive Learning and $k$-Nearest Neighbors
1941. NeurIPS 2024Energy-Guided Continuous Entropic Barycenter Estimation for General Costs
1942. NeurIPS 2024Expected Probabilistic Hierarchies
1943. NeurIPS 2024Factorized Diffusion Architectures for Unsupervised Image Generation and Segmentation
1944. NeurIPS 2024FedNE: Surrogate-Assisted Federated Neighbor Embedding for Dimensionality Reduction
1945. NeurIPS 2024Flatten Anything: Unsupervised Neural Surface Parameterization
1946. NeurIPS 2024From Unstructured Data to In-Context Learning: Exploring What Tasks Can Be Learned and When
1947. NeurIPS 2024General Articulated Objects Manipulation in Real Images via Part-Aware Diffusion Process
1948. NeurIPS 2024General bounds on the quality of Bayesian coresets
1949. NeurIPS 2024General Detection-based Text Line Recognition
1950. NeurIPS 2024GLinSAT: The General Linear Satisfiability Neural Network Layer By Accelerated Gradient Descent

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.