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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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Papers (including subtopics)

Leveraging Cascaded Binary Classification and Multimodal Fusion for Dementia Detection through Spontaneous Speech Interspeech 2025 Leveraging Constraint Violation Signals for Action Constrained Reinforcement Learning AAAI 2025 Leveraging Context for Multimodal Fallacy Classification in Political Debates ACL 2025 Leveraging Debiased Cross-modal Attention Maps and Code-based Reasoning for Zero-shot Referring Expression Comprehension ICCV 2025 Leveraging Domain Knowledge at Inference Time for LLM Translation: Retrieval versus Generation NAACL 2025 Leveraging External Knowledge Bases: Analyzing Presentation Methods and Their Impact on Model Performance NAACL 2025 Leveraging Frozen Batch Normalization for Co-Training in Source-Free Domain Adaptation AISTATS 2025 Leveraging Group Classification with Descending Soft Labeling for Deep Imbalanced Regression AAAI 2025 Leveraging Large Language Models in Detecting Anti-LGBTQIA+ User-generated Texts NAACL 2025 Leveraging LLM for Stuttering Speech: A Unified Architecture Bridging Recognition and Event Detection Interspeech 2025 Leveraging LLMs for Bangla Grammar Error Correction: Error Categorization, Synthetic Data, and Model Evaluation ACL 2025 Leveraging Loanword Constraints for Improving Machine Translation in a Low-Resource Multilingual Context EMNLP 2025 Leveraging MLLM Embeddings and Attribute Smoothing for Compositional Zero-Shot Learning IJCAI 2025 Leveraging Moment Injection for Enhanced Semi-supervised Natural Language Inference with Large Language Models NAACL 2025 Leveraging Multilingual Models for Robust Grammatical Error Correction Across Low-Resource Languages COLING 2025 Leveraging Multilingual Training for Authorship Representation: Enhancing Generalization across Languages and Domains EMNLP 2025 Leveraging Open-Source Large Language Models for Native Language Identification COLING 2025 Leveraging Peer-Informed Label Consistency for Robust Graph Neural Networks with Noisy Labels IJCAI 2025 Leveraging Pretrained Diffusion Models for Zero-Shot Part Assembly IJCAI 2025 Leveraging Product Catalog Patterns for Multilingual E-commerce Product Attribute Prediction EMNLP 2025 Leveraging Self-Attention for Input-Dependent Soft Prompting in LLMs ACL 2025 Leveraging Semantic Triples for Private Document Generation with Local Differential Privacy Guarantees EMNLP 2025 Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration ICML 2025 Leveraging Spatial Invariance to Boost Adversarial Transferability ICCV 2025 Leveraging Sub-Optimal Data for Human-in-the-Loop Reinforcement Learning ICLR 2025