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 40 of 54

1951. NeurIPS 2024GlotCC: An Open Broad-Coverage CommonCrawl Corpus and Pipeline for Minority Languages
1952. NeurIPS 2024GMAI-MMBench: A Comprehensive Multimodal Evaluation Benchmark Towards General Medical AI
1953. NeurIPS 2024Graph Edit Distance with General Costs Using Neural Set Divergence
1954. NeurIPS 2024Graph-based Unsupervised Disentangled Representation Learning via Multimodal Large Language Models
1955. NeurIPS 2024GTA: A Benchmark for General Tool Agents
1956. NeurIPS 2024How Does Variance Shape the Regret in Contextual Bandits?
1957. NeurIPS 2024Identify Then Recommend: Towards Unsupervised Group Recommendation
1958. NeurIPS 2024Identifying General Mechanism Shifts in Linear Causal Representations
1959. NeurIPS 2024Identifying Selections for Unsupervised Subtask Discovery
1960. NeurIPS 2024ImageNet3D: Towards General-Purpose Object-Level 3D Understanding
1961. NeurIPS 2024Improved Guarantees for Fully Dynamic $k$-Center Clustering with Outliers in General Metric Spaces
1962. NeurIPS 2024Improving Environment Novelty Quantification for Effective Unsupervised Environment Design
1963. NeurIPS 2024IncomeSCM: From tabular data set to time-series simulator and causal estimation benchmark
1964. NeurIPS 2024Injecting Undetectable Backdoors in Obfuscated Neural Networks and Language Models
1965. NeurIPS 2024InversionView: A General-Purpose Method for Reading Information from Neural Activations
1966. NeurIPS 2024IR-CM: The Fast and General-purpose Image Restoration Method Based on Consistency Model
1967. NeurIPS 2024Key-Grid: Unsupervised 3D Keypoints Detection using Grid Heatmap Features
1968. NeurIPS 2024Language Models as Zero-shot Lossless Gradient Compressors: Towards General Neural Parameter Prior Models
1969. NeurIPS 2024Latent Intrinsics Emerge from Training to Relight
1970. NeurIPS 2024Learning Commonality, Divergence and Variety for Unsupervised Visible-Infrared Person Re-identification
1971. NeurIPS 2024Learning General Parameterized Policies for Infinite Horizon Average Reward Constrained MDPs via Primal-Dual Policy Gradient Algorithm
1972. NeurIPS 2024Learning Linear Causal Representations from General Environments: Identifiability and Intrinsic Ambiguity
1973. NeurIPS 2024Learning Neural Contracting Dynamics: Extended Linearization and Global Guarantees
1974. NeurIPS 2024Learning Segmentation from Point Trajectories
1975. NeurIPS 2024Learning to Embed Distributions via Maximum Kernel Entropy
1976. NeurIPS 2024Learning Versatile Skills with Curriculum Masking
1977. NeurIPS 2024Leveraging Separated World Model for Exploration in Visually Distracted Environments
1978. NeurIPS 2024Linear Causal Bandits: Unknown Graph and Soft Interventions
1979. NeurIPS 2024Logical characterizations of recurrent graph neural networks with reals and floats
1980. NeurIPS 2024MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection
1981. NeurIPS 2024MaNo: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts
1982. NeurIPS 2024Markov Equivalence and Consistency in Differentiable Structure Learning
1983. NeurIPS 2024Mining and Transferring Feature-Geometry Coherence for Unsupervised Point Cloud Registration
1984. NeurIPS 2024Near-Optimal Distributionally Robust Reinforcement Learning with General $L_p$ Norms
1985. NeurIPS 2024NeuralSolver: Learning Algorithms For Consistent and Efficient Extrapolation Across General Tasks
1986. NeurIPS 2024No Free Lunch Theorem and Black-Box Complexity Analysis for Adversarial Optimisation
1987. NeurIPS 2024Nonlinear dynamics of localization in neural receptive fields
1988. NeurIPS 2024On the Convergence of Loss and Uncertainty-based Active Learning Algorithms
1989. NeurIPS 2024On the Expressive Power of Tree-Structured Probabilistic Circuits
1990. NeurIPS 2024On the Role of Information Structure in Reinforcement Learning for Partially-Observable Sequential Teams and Games
1991. NeurIPS 2024Online Budgeted Matching with General Bids
1992. NeurIPS 2024Optimal Aggregation of Prediction Intervals under Unsupervised Domain Shift
1993. NeurIPS 2024Optimistic Critic Reconstruction and Constrained Fine-Tuning for General Offline-to-Online RL
1994. NeurIPS 2024PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement Learning
1995. NeurIPS 2024Perceiving Longer Sequences With Bi-Directional Cross-Attention Transformers
1996. NeurIPS 2024Peri-midFormer: Periodic Pyramid Transformer for Time Series Analysis
1997. NeurIPS 2024Plant-and-Steal: Truthful Fair Allocations via Predictions
1998. NeurIPS 2024Probabilistic size-and-shape functional mixed models
1999. NeurIPS 2024Provably and Practically Efficient Adversarial Imitation Learning with General Function Approximation
2000. NeurIPS 2024Real-Time Selection Under General Constraints via Predictive Inference

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.