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

553 papers, page 9 of 12

401. ICML 2024Sequential Disentanglement by Extracting Static Information From A Single Sequence Element
402. ICML 2024Simplicity Bias of Two-Layer Networks beyond Linearly Separable Data
403. ICML 2024Slow and Steady Wins the Race: Maintaining Plasticity with Hare and Tortoise Networks
404. ICML 2024SpikeLM: Towards General Spike-Driven Language Modeling via Elastic Bi-Spiking Mechanisms
405. ICML 2024Stochastic Gradient Flow Dynamics of Test Risk and its Exact Solution for Weak Features
406. ICML 2024Stochastic Quantum Sampling for Non-Logconcave Distributions and Estimating Partition Functions
407. ICML 2024Studying K-FAC Heuristics by Viewing Adam through a Second-Order Lens
408. ICML 2024Switched Flow Matching: Eliminating Singularities via Switching ODEs
409. ICML 2024Switching the Loss Reduces the Cost in Batch Reinforcement Learning
410. ICML 2024Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More
411. ICML 2024Tag-LLM: Repurposing General-Purpose LLMs for Specialized Domains
412. ICML 2024Tell, Don't Show: Language Guidance Eases Transfer Across Domains in Images and Videos
413. ICML 2024The Balanced-Pairwise-Affinities Feature Transform
414. ICML 2024The Computational Complexity of Finding Second-Order Stationary Points
415. ICML 2024The Effect of Weight Precision on the Neuron Count in Deep ReLU Networks
416. ICML 2024The WMDP Benchmark: Measuring and Reducing Malicious Use with Unlearning
417. ICML 2024Towards General Algorithm Discovery for Combinatorial Optimization: Learning Symbolic Branching Policy from Bipartite Graph
418. ICML 2024Towards General Neural Surrogate Solvers with Specialized Neural Accelerators
419. ICML 2024Towards the Theory of Unsupervised Federated Learning: Non-asymptotic Analysis of Federated EM Algorithms
420. ICML 2024Transolver: A Fast Transformer Solver for PDEs on General Geometries
421. ICML 2024Transport of Algebraic Structure to Latent Embeddings
422. ICML 2024UGrid: An Efficient-And-Rigorous Neural Multigrid Solver for Linear PDEs
423. ICML 2024Uncertainty-Aware Reward-Free Exploration with General Function Approximation
424. ICML 2024Understanding MLP-Mixer as a wide and sparse MLP
425. ICML 2024Universal Consistency of Wide and Deep ReLU Neural Networks and Minimax Optimal Convergence Rates for Kolmogorov-Donoho Optimal Function Classes
426. ICML 2024Unsupervised Concept Discovery Mitigates Spurious Correlations
427. ICML 2024Unsupervised Domain Adaptation for Anatomical Structure Detection in Ultrasound Images
428. ICML 2024Unsupervised Evaluation of Code LLMs with Round-Trip Correctness
429. ICML 2024Unsupervised Parameter-free Simplicial Representation Learning with Scattering Transforms
430. ICML 2024Unsupervised Representation Learning of Brain Activity via Bridging Voxel Activity and Functional Connectivity
431. ICML 2024Unsupervised Zero-Shot Reinforcement Learning via Functional Reward Encodings
432. ICML 2024UP2ME: Univariate Pre-training to Multivariate Fine-tuning as a General-purpose Framework for Multivariate Time Series Analysis
433. ICML 2024What is the Long-Run Distribution of Stochastic Gradient Descent? A Large Deviations Analysis
434. ICML 2024WISER: Weak Supervision and Supervised Representation Learning to Improve Drug Response Prediction in Cancer
435. ICML 2024Zero-Shot Unsupervised and Text-Based Audio Editing Using DDPM Inversion
436. NeurIPS 2024A Nearly Optimal and Low-Switching Algorithm for Reinforcement Learning with General Function Approximation
437. NeurIPS 2024Accelerating Greedy Coordinate Gradient and General Prompt Optimization via Probe Sampling
438. NeurIPS 2024Active Learning of General Halfspaces: Label Queries vs Membership Queries
439. NeurIPS 2024Adaptive Exploration for Data-Efficient General Value Function Evaluations
440. NeurIPS 2024Adversarial Representation Engineering: A General Model Editing Framework for Large Language Models
441. NeurIPS 2024Aligning Embeddings and Geometric Random Graphs: Informational Results and Computational Approaches for the Procrustes-Wasserstein Problem
442. NeurIPS 2024Approximately Equivariant Neural Processes
443. NeurIPS 2024ARC: A Generalist Graph Anomaly Detector with In-Context Learning
444. NeurIPS 2024Are Graph Neural Networks Optimal Approximation Algorithms?
445. NeurIPS 2024Articulate your NeRF: Unsupervised articulated object modeling via conditional view synthesis
446. NeurIPS 2024Beyond Redundancy: Information-aware Unsupervised Multiplex Graph Structure Learning
447. NeurIPS 2024CodeRosetta: Pushing the Boundaries of Unsupervised Code Translation for Parallel Programming
448. NeurIPS 2024Compositional PAC-Bayes: Generalization of GNNs with persistence and beyond
449. NeurIPS 2024Contextual Multinomial Logit Bandits with General Value Functions
450. NeurIPS 2024Corruption-Robust Linear Bandits: Minimax Optimality and Gap-Dependent Misspecification

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.