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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)

Adversarially Robust Generalization Requires More Data NeurIPS 2018 Adversarial Metric Learning IJCAI 2018 Adversarial Multi-lingual Neural Relation Extraction COLING 2018 Adversarial Multiple Source Domain Adaptation NeurIPS 2018 Adversarial Neural Machine Translation ACML 2018 Adversarial Over-Sensitivity and Over-Stability Strategies for Dialogue Models CoNLL 2018 Adversarial Propagation and Zero-Shot Cross-Lingual Transfer of Word Vector Specialization EMNLP 2018 Adversarial Regression for Detecting Attacks in Cyber-Physical Systems IJCAI 2018 Adversarial Regression with Multiple Learners ICML 2018 Adversarial Regularizers in Inverse Problems NeurIPS 2018 Adversarial Removal of Demographic Attributes from Text Data EMNLP 2018 Adversarial Risk and Robustness: General Definitions and Implications for the Uniform Distribution NeurIPS 2018 Adversarial Risk and the Dangers of Evaluating Against Weak Attacks ICML 2018 Adversarial Scene Editing: Automatic Object Removal from Weak Supervision NeurIPS 2018 Adversarial Task Assignment IJCAI 2018 Adversarial Text Generation via Feature-Mover's Distance NeurIPS 2018 Adversarial Time-to-Event Modeling ICML 2018 Adversarial training for multi-context joint entity and relation extraction EMNLP 2018 Adversarial Training for Multi-task and Multi-lingual Joint Modeling of Utterance Intent Classification EMNLP 2018 Adversarial Transfer Learning for Chinese Named Entity Recognition with Self-Attention Mechanism EMNLP 2018 Adversarial vulnerability for any classifier NeurIPS 2018 AffecThor at SemEval-2018 Task 1: A cross-linguistic approach to sentiment intensity quantification in tweets SemEval 2018 A flexible model for training action localization with varying levels of supervision NeurIPS 2018 A Framework for the Quantitative Evaluation of Disentangled Representations ICLR 2018 A fully adaptive algorithm for pure exploration in linear bandits AISTATS 2018