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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

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20
220
477
4,652
9,258
2000
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Papers (including subtopics)

Boosting Data Utilization for Multilingual Dense Retrieval EMNLP 2025 Boosting Domain Incremental Learning: Selecting the Optimal Parameters is All You Need CVPR 2025 Boosting Fine-Grained Visual Anomaly Detection with Coarse-Knowledge-Aware Adversarial Learning AAAI 2025 Boosting Generative Adversarial Transferability with Self-supervised Vision Transformer Features ICCV 2025 Boosting Masked ECG-Text Auto-Encoders as Discriminative Learners ICML 2025 Boosting Methods for Interval-censored Data with Regression and Classification ICLR 2025 Boosting Multi-Domain Fine-Tuning of Large Language Models through Evolving Interactions between Samples ICML 2025 Boosting Multi-modal Keyphrase Prediction with Dynamic Chain-of-Thought in Vision-Language Models EMNLP 2025 Boosting Multiple Views for pretrained-based Continual Learning ICLR 2025 Boosting Point-Supervised Temporal Action Localization through Integrating Query Reformation and Optimal Transport CVPR 2025 Boosting Policy and Process Reward Models with Monte Carlo Tree Search in Open-Domain QA ACL 2025 Boosting Ray Search Procedure of Hard-label Attacks with Transfer-based Priors ICLR 2025 Boosting Segment Anything Model Towards Open-Vocabulary Learning AAAI 2025 Boosting Semi-Supervised Video Action Detection with Temporal Context WACV 2025 Boosting Sentiment Analysis in Persian through a GAN-Based Synthetic Data Augmentation Method COLING 2025 Boosting Short Text Classification with Multi-Source Information Exploration and Dual-Level Contrastive Learning AAAI 2025 Boosting Test Performance with Importance Sampling--a Subpopulation Perspective AAAI 2025 Boost Self-Supervised Dataset Distillation via Parameterization, Predefined Augmentation, and Approximation ICLR 2025 Boost the Inference with Co-training: A Depth-guided Mutual Learning Framework for Semi-supervised Medical Polyp Segmentation CVPR 2025 Boost Your Human Image Generation Model via Direct Preference Optimization CVPR 2025 BOOTPLACE: Bootstrapped Object Placement with Detection Transformers CVPR 2025 Bootstrapped Model Predictive Control ICLR 2025 Bootstrapped Reward Shaping AAAI 2025 Bootstrapping Grounded Chain-of-Thought in Multimodal LLMs for Data-Efficient Model Adaptation ICCV 2025 Bootstrapping Heterogeneous Graph Representation Learning via Large Language Models: A Generalized Approach AAAI 2025