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Learning Types

56,253 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Self-Supervised Learning (8,965) Adversarial Learning (5,204) Unsupervised Learning (4,874) Transfer Learning (4,808) Weakly Supervised Learning (3,938) Contrastive Learning (3,748) Zero-Shot Learning (3,130) Semi-Supervised Learning (3,128) Reinforcement Learning (3,118) Multi-Task Learning (2,556) Evaluation (2,164) Continual Learning (2,107) Active Learning (1,983) Few-Shot Learning (1,840) Deep Learning (1,404) Online Learning (1,360) Multi-Armed Bandits (1,327) Multimodal Learning (1,289) Supervised Learning (986) Multi-Agent Systems (813) Uncertainty Quantification (805) Causal Inference (636) Robustness (576) Retrieval-Augmented Generation (565) Fine-Tuning (490) Ensemble Learning (482) In-Context Learning (439) Multi-Label Classification (430) Imitation Learning (387) Prompt Engineering (270) Multi-Lingual Learning (269) Distribution Shift (264) Reinforcement Learning from Human Feedback (209) Regularization (207) Exploration-Exploitation (203) Generative Models (200) Multi-Objective Optimization (185) Out-of-Distribution Detection (176) Sparse Learning (165) Sampling (150) Preference Learning (136) Offline Reinforcement Learning (130) Multi-Label Learning (128) Markov Decision Process (127) Neural Architecture Search (122) Multi-Instance Learning (121) Multi-View Learning (117) Robust Learning (110) Generative Model (110) Time Series (108) Large Language Models (104) Exploration (103) Hyperparameter Optimization (99) Machine Unlearning (95) Imbalanced Learning (93) Machine Translation (93) Multi-Class Classification (85) Differential Privacy (82) Time Series Analysis (71) Reasoning (70) Calibration (67) Structure Learning (66) Physics-Informed Learning (62) Class Imbalance (58) Model-Based RL (55) Interactive Learning (55) Multi-Domain Learning (47) Inverse Reinforcement Learning (46) Crowdsourcing (40) Off-Policy Learning (38) Label Noise (38) Noisy Label Learning (35) Offline RL (32) Attention (32) Evolutionary Algorithm (32) Decision Making (31) Policy Learning (30) Personalization (28) Low-Resource Learning (26) Collaborative Filtering (25) Self-Training (24) Sequential Modeling (24) Parameter Estimation (23) Survival Analysis (21) Machine Learning (20) Parameter-Efficient Fine-Tuning (20) Synthetic Data Generation (20) Annotation (18) Symbolic Regression (18) AutoML (16) Security (15) Multi-Source Learning (13) Distant Supervision (13) Text Generation (11) Distributional Reinforcement Learning (9) Sentiment Analysis (9) Multi-Hop Reasoning (9) Language Modeling (9) Code Generation (8) Multi-Object Tracking (8) Natural Language Inference (7) Chain-of-Thought (6) Question Answering (5)

Papers per year

1
20
220
477
4,652
9,258
2000
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'25

Papers (including subtopics)

On the Out-of-Distribution Generalization of Self-Supervised Learning ICML 2025 On the Perception Bottleneck of VLMs for Chart Understanding EMNLP 2025 On the Power of Adaptive Weighted Aggregation in Heterogeneous Federated Learning and Beyond AISTATS 2025 On the Power of Optimism in Constrained Online Convex Optimization IJCAI 2025 On the Power of Strategic Corpus Enrichment in Content Creation Games AAAI 2025 On the Price of Differential Privacy for Hierarchical Clustering ICLR 2025 On the Provable Importance of Gradients for Autonomous Language-Assisted Image Clustering ICCV 2025 On the Relation Between Fine-Tuning, Topological Properties, and Task Performance in Sense-Enhanced Embeddings ACL 2025 On the Reliability of Large Language Models for Causal Discovery ACL 2025 On the Robustness of Distributed Machine Learning Against Transfer Attacks AAAI 2025 On the Robustness Tradeoff in Fine-Tuning ICCV 2025 On the Role of Entity and Event Level Conceptualization in Generalizable Reasoning: A Survey of Tasks, Methods, Applications, and Future Directions EMNLP 2025 On the Role of Key Phrases in Argument Mining NAACL 2025 On the Role of Model Prior in Real-World Inductive Reasoning EMNLP 2025 On the Similarities of Embeddings in Contrastive Learning ICML 2025 On the Statistical Properties of Generative Adversarial Models for Low Intrinsic Data Dimension JMLR 2025 On the Tolerance of Repetition Before Performance Degradation in Kiswahili Automatic Speech Recognition ACL 2025 On the Transferability of Causal Knowledge for Language Models NAACL 2025 On the Way to LLM Personalization: Learning to Remember User Conversations ACL 2025 On the Zero-shot Adversarial Robustness of Vision-Language Models: A Truly Zero-shot and Training-free Approach CVPR 2025 Ontolearn---A Framework for Large-scale OWL Class Expression Learning in Python JMLR 2025 OntologyRAG-Q: Resource Development and Benchmarking for Retrieval-Augmented Question Answering in Qur’anic Tafsir EMNLP 2025 OODML: Whole Slide Image Classification Meets Online Pseudo-Supervision and Dynamic Mutual Learning AAAI 2025 O_O-VC: Synthetic Data-Driven One-to-One Alignment for Any-to-Any Voice Conversion EMNLP 2025 Open Ad-hoc Categorization with Contextualized Feature Learning CVPR 2025