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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
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2000
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Papers (including subtopics)

RobustFill: Neural Program Learning under Noisy I/O ICML 2017 Robust Imitation of Diverse Behaviors NeurIPS 2017 Robust Multilingual Named Entity Recognition with Shallow Semi-supervised Features (Extended Abstract) IJCAI 2017 Robust Optimization for Non-Convex Objectives NeurIPS 2017 Robust Softmax Regression for Multi-class Classification with Self-Paced Learning IJCAI 2017 Robust Survey Aggregation with Student-t Distribution and Sparse Representation IJCAI 2017 Robust Training under Linguistic Adversity EACL 2017 RUFINO at SemEval-2017 Task 2: Cross-lingual lexical similarity by extending PMI and word embeddings systems with a Swadesh’s-like list SemEval 2017 Safety-Aware Algorithms for Adversarial Contextual Bandit ICML 2017 Safe Visual Navigation via Deep Learning and Novelty Detection RSS 2017 Salience Rank: Efficient Keyphrase Extraction with Topic Modeling ACL 2017 Saliency Guided End-to-End Learning for Weakly Supervised Object Detection IJCAI 2017 Sample and Computationally Efficient Learning Algorithms under S-Concave Distributions NeurIPS 2017 Scalable Generalized Linear Bandits: Online Computation and Hashing NeurIPS 2017 Scalable Generative Models for Multi-label Learning with Missing Labels ICML 2017 Scalable Influence Maximization for Multiple Products in Continuous-Time Diffusion Networks JMLR 2017 Scalable Variational Inference for Dynamical Systems NeurIPS 2017 Scaling Active Search using Linear Similarity Functions IJCAI 2017 Schema Networks: Zero-shot Transfer with a Generative Causal Model of Intuitive Physics ICML 2017 Scientific Information Extraction with Semi-supervised Neural Tagging EMNLP 2017 Scribbler: Controlling Deep Image Synthesis With Sketch and Color CVPR 2017 See without looking: joint visualization of sensitive multi-site datasets IJCAI 2017 SEF@UHH at SemEval-2017 Task 1: Unsupervised Knowledge-Free Semantic Textual Similarity via Paragraph Vector SemEval 2017 Selective Classification for Deep Neural Networks NeurIPS 2017 Selective Decoding for Cross-lingual Open Information Extraction IJCNLP 2017