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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 Shallow Planning Under Partial Observability AAAI 2025 On Stochastic Contextual Bandits with Knapsacks in Small Budget Regime ICLR 2025 On Synthesizing Data for Context Attribution in Question Answering ACL 2025 On the Adversarial Risk of Test Time Adaptation: An Investigation into Realistic Test-Time Data Poisoning ICLR 2025 On the Adversarial Robustness of Multi-Kernel Clustering ICML 2025 On the Adversarial Vulnerability of Label-Free Test-Time Adaptation ICLR 2025 On the Asymptotic Optimality of Confidence Interval Based Algorithms for Fixed Confidence MABs AAAI 2025 On the Clean Generalization and Robust Overfitting in Adversarial Training from Two Theoretical Views: Representation Complexity and Training Dynamics ICML 2025 On the Convergence of Continual Federated Learning Using Incrementally Aggregated Gradients AISTATS 2025 On the Convergence of Moral Self-Correction in Large Language Models IJCNLP 2025 On the Discrimination and Consistency for Exemplar-Free Class Incremental Learning IJCAI 2025 On the Diversity of Adversarial Ensemble Learning ICML 2025 On the effective transfer of knowledge from English to Hindi Wikipedia COLING 2025 On the Feasibility of In-Context Probing for Data Attribution NAACL 2025 On-the-fly Preference Alignment via Principle-Guided Decoding ICLR 2025 On the Generalization of Feature Incremental Learning IJCAI 2025 On the Generalization of Representation Uncertainty in Earth Observation ICCV 2025 On the Identifiability of Causal Abstractions AISTATS 2025 On the Identification of Temporal Causal Representation with Instantaneous Dependence ICLR 2025 On the Impact of Fine-Tuning on Chain-of-Thought Reasoning NAACL 2025 On the Importance of Embedding Norms in Self-Supervised Learning ICML 2025 On the Importance of Language-driven Representation Learning for Heterogeneous Federated Learning ICLR 2025 On the Influence of Context Size and Model Choice in Retrieval-Augmented Generation Systems NAACL 2025 On the Learning with Augmented Class via Forests IJCAI 2025 On the Linear Speedup of Personalized Federated Reinforcement Learning with Shared Representations ICLR 2025