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 10 of 12

451. NeurIPS 2024DA-Ada: Learning Domain-Aware Adapter for Domain Adaptive Object Detection
452. NeurIPS 2024Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context Learning
453. NeurIPS 2024Differential Privacy in Scalable General Kernel Learning via $K$-means Nystr{\"o}m Random Features
454. NeurIPS 2024Diffusion-based Layer-wise Semantic Reconstruction for Unsupervised Out-of-Distribution Detection
455. NeurIPS 2024Directional Smoothness and Gradient Methods: Convergence and Adaptivity
456. NeurIPS 2024Discovering plasticity rules that organize and maintain neural circuits
457. NeurIPS 2024Disentangled Unsupervised Skill Discovery for Efficient Hierarchical Reinforcement Learning
458. NeurIPS 2024Dissect Black Box: Interpreting for Rule-Based Explanations in Unsupervised Anomaly Detection
459. NeurIPS 2024Do's and Don'ts: Learning Desirable Skills with Instruction Videos
460. NeurIPS 2024Embedding Dimension of Contrastive Learning and $k$-Nearest Neighbors
461. NeurIPS 2024Energy-Guided Continuous Entropic Barycenter Estimation for General Costs
462. NeurIPS 2024Expected Probabilistic Hierarchies
463. NeurIPS 2024Factorized Diffusion Architectures for Unsupervised Image Generation and Segmentation
464. NeurIPS 2024FedNE: Surrogate-Assisted Federated Neighbor Embedding for Dimensionality Reduction
465. NeurIPS 2024Flatten Anything: Unsupervised Neural Surface Parameterization
466. NeurIPS 2024From Unstructured Data to In-Context Learning: Exploring What Tasks Can Be Learned and When
467. NeurIPS 2024General Articulated Objects Manipulation in Real Images via Part-Aware Diffusion Process
468. NeurIPS 2024General bounds on the quality of Bayesian coresets
469. NeurIPS 2024General Detection-based Text Line Recognition
470. NeurIPS 2024GLinSAT: The General Linear Satisfiability Neural Network Layer By Accelerated Gradient Descent
471. NeurIPS 2024GlotCC: An Open Broad-Coverage CommonCrawl Corpus and Pipeline for Minority Languages
472. NeurIPS 2024GMAI-MMBench: A Comprehensive Multimodal Evaluation Benchmark Towards General Medical AI
473. NeurIPS 2024Graph Edit Distance with General Costs Using Neural Set Divergence
474. NeurIPS 2024Graph-based Unsupervised Disentangled Representation Learning via Multimodal Large Language Models
475. NeurIPS 2024GTA: A Benchmark for General Tool Agents
476. NeurIPS 2024How Does Variance Shape the Regret in Contextual Bandits?
477. NeurIPS 2024Identify Then Recommend: Towards Unsupervised Group Recommendation
478. NeurIPS 2024Identifying General Mechanism Shifts in Linear Causal Representations
479. NeurIPS 2024Identifying Selections for Unsupervised Subtask Discovery
480. NeurIPS 2024ImageNet3D: Towards General-Purpose Object-Level 3D Understanding
481. NeurIPS 2024Improved Guarantees for Fully Dynamic $k$-Center Clustering with Outliers in General Metric Spaces
482. NeurIPS 2024Improving Environment Novelty Quantification for Effective Unsupervised Environment Design
483. NeurIPS 2024IncomeSCM: From tabular data set to time-series simulator and causal estimation benchmark
484. NeurIPS 2024Injecting Undetectable Backdoors in Obfuscated Neural Networks and Language Models
485. NeurIPS 2024InversionView: A General-Purpose Method for Reading Information from Neural Activations
486. NeurIPS 2024IR-CM: The Fast and General-purpose Image Restoration Method Based on Consistency Model
487. NeurIPS 2024Key-Grid: Unsupervised 3D Keypoints Detection using Grid Heatmap Features
488. NeurIPS 2024Language Models as Zero-shot Lossless Gradient Compressors: Towards General Neural Parameter Prior Models
489. NeurIPS 2024Latent Intrinsics Emerge from Training to Relight
490. NeurIPS 2024Learning Commonality, Divergence and Variety for Unsupervised Visible-Infrared Person Re-identification
491. NeurIPS 2024Learning General Parameterized Policies for Infinite Horizon Average Reward Constrained MDPs via Primal-Dual Policy Gradient Algorithm
492. NeurIPS 2024Learning Linear Causal Representations from General Environments: Identifiability and Intrinsic Ambiguity
493. NeurIPS 2024Learning Neural Contracting Dynamics: Extended Linearization and Global Guarantees
494. NeurIPS 2024Learning Segmentation from Point Trajectories
495. NeurIPS 2024Learning to Embed Distributions via Maximum Kernel Entropy
496. NeurIPS 2024Learning Versatile Skills with Curriculum Masking
497. NeurIPS 2024Leveraging Separated World Model for Exploration in Visually Distracted Environments
498. NeurIPS 2024Linear Causal Bandits: Unknown Graph and Soft Interventions
499. NeurIPS 2024Logical characterizations of recurrent graph neural networks with reals and floats
500. NeurIPS 2024MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection

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.