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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)

En-Ar Bilingual Word Embeddings without Word Alignment: Factors Effects ACL 2019 Encoding Social Information with Graph Convolutional Networks forPolitical Perspective Detection in News Media ACL 2019 Encouraging Paragraph Embeddings to Remember Sentence Identity Improves Classification ACL 2019 End-To-End Interpretable Neural Motion Planner CVPR 2019 End-to-End Multilingual Multi-Speaker Speech Recognition Interspeech 2019 End-to-End Multi-Perspective Matching for Entity Resolution IJCAI 2019 End-to-End Multi-Speaker Speech Recognition Using Speaker Embeddings and Transfer Learning Interspeech 2019 End-To-End Multi-Task Learning With Attention CVPR 2019 End-to-End Music Source Separation: Is it Possible in the Waveform Domain? Interspeech 2019 End-To-End Robotic Reinforcement Learning without Reward Engineering RSS 2019 End-to-End Safe Reinforcement Learning through Barrier Functions for Safety-Critical Continuous Control Tasks AAAI 2019 End-to-End Speaker Identification in Noisy and Reverberant Environments Using Raw Waveform Convolutional Neural Networks Interspeech 2019 End-to-End Spoken Language Understanding: Bootstrapping in Low Resource Scenarios Interspeech 2019 End-to-End Text-to-Speech for Low-Resource Languages by Cross-Lingual Transfer Learning Interspeech 2019 Energy and Policy Considerations for Deep Learning in NLP ACL 2019 Energy Confused Adversarial Metric Learning for Zero-Shot Image Retrieval and Clustering AAAI 2019 Enforcing Semantic Consistency for Cross Corpus Valence Regression from Speech Using Adversarial Discrepancy Learning Interspeech 2019 Enhancing 2D Representation via Adjacent Views for 3D Shape Retrieval ICCV 2019 Enhancing Adversarial Example Transferability With an Intermediate Level Attack ICCV 2019 Enhancing BERT for Lexical Normalization EMNLP 2019 Enhancing Dialogue Symptom Diagnosis with Global Attention and Symptom Graph EMNLP 2019 Enhancing Diversity of Defocus Blur Detectors via Cross-Ensemble Network CVPR 2019 Enhancing Evolutionary Conversion Rate Optimization via Multi-Armed Bandit Algorithms AAAI 2019 Enhancing Stock Movement Prediction with Adversarial Training IJCAI 2019 Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting NeurIPS 2019