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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)

Iterative Machine Teaching ICML 2017 i-Vector DNN Scoring and Calibration for Noise Robust Speaker Verification Interspeech 2017 i-Vector Transformation Using a Novel Discriminative Denoising Autoencoder for Noise-Robust Speaker Recognition Interspeech 2017 JFLEG: A Fluency Corpus and Benchmark for Grammatical Error Correction EACL 2017 Job Selection in a Network of Autonomous UAVs for Delivery of Goods RSS 2017 Joining Hands: Exploiting Monolingual Treebanks for Parsing of Code-mixing Data EACL 2017 Joint Concept Learning and Semantic Parsing from Natural Language Explanations EMNLP 2017 Joint distribution optimal transportation for domain adaptation NeurIPS 2017 Joint Image Emotion Classification and Distribution Learning via Deep Convolutional Neural Network IJCAI 2017 Joint, Incremental Disfluency Detection and Utterance Segmentation from Speech EACL 2017 Joint Label Inference in Networks JMLR 2017 Joint Learning of Correlated Sequence Labeling Tasks Using Bidirectional Recurrent Neural Networks Interspeech 2017 Joint Learning of Dialog Act Segmentation and Recognition in Spoken Dialog Using Neural Networks IJCNLP 2017 Joint Learning on Relevant User Attributes in Micro-blog IJCAI 2017 Jointly Predicting Arousal, Valence and Dominance with Multi-Task Learning Interspeech 2017 Jointly Trained Sequential Labeling and Classification by Sparse Attention Neural Networks Interspeech 2017 Joint Optimization of Robot Design and Motion Parameters using the Implicit Function Theorem RSS 2017 Joint Optimization of User-desired Content in Multi-document Summaries by Learning from User Feedback ACL 2017 Joint Prediction of Morphosyntactic Categories for Fine-Grained Arabic Part-of-Speech Tagging Exploiting Tag Dictionary Information CoNLL 2017 Joint Syntacto-Discourse Parsing and the Syntacto-Discourse Treebank EMNLP 2017 Just Sort It! A Simple and Effective Approach to Active Preference Learning ICML 2017 Kernelized Support Tensor Machines ICML 2017 Knowledge Distillation for Bilingual Dictionary Induction EMNLP 2017 Labeling Gaps Between Words: Recognizing Overlapping Mentions with Mention Separators EMNLP 2017 Language-Independent Prediction of Psycholinguistic Properties of Words IJCNLP 2017