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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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Papers (including subtopics)

Mixture Content Selection for Diverse Sequence Generation EMNLP 2019 Mixture Density Generative Adversarial Networks CVPR 2019 Mixture of Expert/Imitator Networks: Scalable Semi-Supervised Learning Framework AAAI 2019 MixUp as Locally Linear Out-of-Manifold Regularization AAAI 2019 MLRDA: A Multi-Task Semi-Supervised Learning Framework for Drug-Drug Interaction Prediction IJCAI 2019 MNCN: A Multilingual Ngram-Based Convolutional Network for Aspect Category Detection in Online Reviews AAAI 2019 Model-Agnostic Adversarial Detection by Random Perturbations IJCAI 2019 Model-Agnostic Meta-Learning for Relation Classification with Limited Supervision ACL 2019 Model-Based Active Exploration ICML 2019 Model-based Behavioral Cloning with Future Image Similarity Learning CoRL 2019 Model-Based Planning with Energy-Based Models CoRL 2019 Model-Based Reinforcement Learning Exploiting State-Action Equivalence ACML 2019 Model-based RL in Contextual Decision Processes: PAC bounds and Exponential Improvements over Model-free Approaches COLT 2019 Model-Blind Video Denoising via Frame-To-Frame Training CVPR 2019 Model Compression with Adversarial Robustness: A Unified Optimization Framework NeurIPS 2019 Model-Free IRL Using Maximum Likelihood Estimation AAAI 2019 Model-free Nonconvex Matrix Completion: Local Minima Analysis and Applications in Memory-efficient Kernel PCA JMLR 2019 Modeling Coherence for Discourse Neural Machine Translation AAAI 2019 Modeling Event Background for If-Then Commonsense Reasoning Using Context-aware Variational Autoencoder EMNLP 2019 Modeling Frames in Argumentation EMNLP 2019 Modeling Global Syntactic Variation in English Using Dialect Classification NAACL 2019 Modeling Intra-Relation in Math Word Problems with Different Functional Multi-Head Attentions ACL 2019 Modeling Labial Coarticulation with Bidirectional Gated Recurrent Networks and Transfer Learning Interspeech 2019 Modeling language learning using specialized Elo rating ACL 2019 Modeling User Context for Valence Prediction from Narratives Interspeech 2019