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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)

Logarithmic Regret for Online Control NeurIPS 2019 Logistic Regression on Homomorphic Encrypted Data at Scale AAAI 2019 Lombard Speech Synthesis Using Transfer Learning in a Tacotron Text-to-Speech System Interspeech 2019 Long Short-Term Memory with Dynamic Skip Connections AAAI 2019 Long Warm-up and Self-Training: Training Strategies of NICT-2 NMT System at WAT-2019 EMNLP 2019 Look Harder: A Neural Machine Translation Model with Hard Attention ACL 2019 Looking Beyond Label Noise: Shifted Label Distribution Matters in Distantly Supervised Relation Extraction EMNLP 2019 Look-up and Adapt: A One-shot Semantic Parser EMNLP 2019 Loss-Balanced Task Weighting to Reduce Negative Transfer in Multi-Task Learning AAAI 2019 Lost in Evaluation: Misleading Benchmarks for Bilingual Dictionary Induction EMNLP 2019 Lovasz Convolutional Networks AISTATS 2019 Low-Complexity Nonparametric Bayesian Online Prediction with Universal Guarantees NeurIPS 2019 Low-Dimensional Density Ratio Estimation for Covariate Shift Correction AISTATS 2019 Lower Bounds on Adversarial Robustness from Optimal Transport NeurIPS 2019 Low Frequency Adversarial Perturbation UAI 2019 Low-Rank Bandit Methods for High-Dimensional Dynamic Pricing NeurIPS 2019 Low-Rank Laplacian-Uniform Mixed Model for Robust Face Recognition CVPR 2019 Low Resource Automatic Intonation Classification Using Gated Recurrent Unit (GRU) Networks Pre-Trained with Synthesized Pitch Patterns Interspeech 2019 Low-resource Deep Entity Resolution with Transfer and Active Learning ACL 2019 Low-Resource Name Tagging Learned with Weakly Labeled Data EMNLP 2019 Low-Resource Parsing with Crosslingual Contextualized Representations CoNLL 2019 Low-Resource Response Generation with Template Prior EMNLP 2019 Low Shot Box Correction for Weakly Supervised Object Detection IJCAI 2019 LRDNN: Local-refining based Deep Neural Network for Person Re-Identification with Attribute Discerning IJCAI 2019 MAAM: A Morphology-Aware Alignment Model for Unsupervised Bilingual Lexicon Induction ACL 2019