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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)

Transformer Based Multi-Source Domain Adaptation EMNLP 2020 Transformer Hawkes Process ICML 2020 Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention ICML 2020 Transformers to Learn Hierarchical Contexts in Multiparty Dialogue for Span-based Question Answering ACL 2020 Transformer VQ-VAE for Unsupervised Unit Discovery and Speech Synthesis: ZeroSpeech 2020 Challenge Interspeech 2020 Translation-Based Matching Adversarial Network for Cross-Lingual Natural Language Inference AAAI 2020 Translation Quality Estimation by Jointly Learning to Score and Rank EMNLP 2020 Transliteration Based Data Augmentation for Training Multilingual ASR Acoustic Models in Low Resource Settings Interspeech 2020 Transliteration for Cross-Lingual Morphological Inflection ACL 2020 TransMatch: A Transfer-Learning Scheme for Semi-Supervised Few-Shot Learning CVPR 2020 TransMoMo: Invariance-Driven Unsupervised Video Motion Retargeting CVPR 2020 Transparent Classification with Multilayer Logical Perceptrons and Random Binarization AAAI 2020 TransQuest at WMT2020: Sentence-Level Direct Assessment EMNLP 2020 TriggerNER: Learning with Entity Triggers as Explanations for Named Entity Recognition ACL 2020 Triple-GAIL: A Multi-Modal Imitation Learning Framework with Generative Adversarial Nets IJCAI 2020 TrueLearn: A Family of Bayesian Algorithms to Match Lifelong Learners to Open Educational Resources AAAI 2020 Truly Batch Model-Free Inverse Reinforcement Learning about Multiple Intentions AISTATS 2020 Truncated Linear Regression in High Dimensions NeurIPS 2020 Try to Substitute: An Unsupervised Chinese Word Sense Disambiguation Method Based on HowNet COLING 2020 Tsallis-INF for Decoupled Exploration and Exploitation in Multi-armed Bandits COLT 2020 TTUI at SemEval-2020 Task 11: Propaganda Detection with Transfer Learning and Ensembles SemEval 2020 TubeTK: Adopting Tubes to Track Multi-Object in a One-Step Training Model CVPR 2020 TUE at SemEval-2020 Task 1: Detecting Semantic Change by Clustering Contextual Word Embeddings SemEval 2020 Tuning Causal Discovery Algorithms PGM 2020 Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems ICML 2020