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Learning Types

56,253 papers (3 classified directly here)

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)
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Papers (including subtopics)

End-to-End Speech Translation with Adversarial Training ACL 2020 End-to-End Speech-Translation with Knowledge Distillation: FBK@IWSLT2020 ACL 2020 End-to-End Synthetic Data Generation for Domain Adaptation of Question Answering Systems EMNLP 2020 End-to-End Task-Oriented Dialog System Through Template Slot Value Generation Interspeech 2020 End-to-End Thorough Body Perception for Person Search AAAI 2020 End-to-end Training For Financial Report Summarization COLING 2020 End-to-End Transition-Based Online Dialogue Disentanglement IJCAI 2020 Energy-Based Processes for Exchangeable Data ICML 2020 ENGINE: Energy-Based Inference Networks for Non-Autoregressive Machine Translation ACL 2020 English-to-Chinese Transliteration with Phonetic Auxiliary Task AACL 2020 English-to-Japanese Diverse Translation by Combining Forward and Backward Outputs ACL 2020 Enhanced Labelling in Active Learning for Coreference Resolution COLING 2020 Enhanced Meta-Learning for Cross-Lingual Named Entity Recognition with Minimal Resources AAAI 2020 Enhanced POET: Open-ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions ICML 2020 Enhanced Transport Distance for Unsupervised Domain Adaptation CVPR 2020 Enhance Robustness of Sequence Labelling with Masked Adversarial Training EMNLP 2020 Enhancing Aspect Term Extraction with Soft Prototypes EMNLP 2020 Enhancing Cross-target Stance Detection with Transferable Semantic-Emotion Knowledge ACL 2020 Enhancing Cross-Task Black-Box Transferability of Adversarial Examples With Dispersion Reduction CVPR 2020 Enhancing Dialog Coherence with Event Graph Grounded Content Planning IJCAI 2020 Enhancing Intrinsic Adversarial Robustness via Feature Pyramid Decoder CVPR 2020 Enhancing Neural Models with Vulnerability via Adversarial Attack COLING 2020 Enhancing Simple Models by Exploiting What They Already Know ICML 2020 Enhancing the Identification of Cyberbullying through Participant Roles EMNLP 2020 Enhancing Topic Models by Incorporating Explicit and Implicit External Knowledge ACML 2020