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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)

Exploiting the Surrogate Gap in Online Multiclass Classification NeurIPS 2020 Exploiting Unsupervised Data for Emotion Recognition in Conversations EMNLP 2020 Exploiting weakly supervised visual patterns to learn from partial annotations NeurIPS 2020 Exploration Based Language Learning for Text-Based Games IJCAI 2020 Exploration by Optimisation in Partial Monitoring COLT 2020 Exploration of End-to-End Synthesisers for Zero Resource Speech Challenge 2020 Interspeech 2020 Exploratory Combinatorial Optimization with Reinforcement Learning AAAI 2020 Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills ICML 2020 Exploring Bottom-Up and Top-Down Cues With Attentive Learning for Webly Supervised Object Detection CVPR 2020 Exploring Category-Agnostic Clusters for Open-Set Domain Adaptation CVPR 2020 Exploring Contextual Word-level Style Relevance for Unsupervised Style Transfer ACL 2020 Exploring Data Aggregation in Policy Learning for Vision-Based Urban Autonomous Driving CVPR 2020 Exploring Hate Speech Detection in Multimodal Publications WACV 2020 Exploring Interpretability in Event Extraction: Multitask Learning of a Neural Event Classifier and an Explanation Decoder ACL 2020 Exploring Logically Dependent Multi-task Learning with Causal Inference EMNLP 2020 Exploring Parameter Space with Structured Noise for Meta-Reinforcement Learning IJCAI 2020 Exploring the Boundaries of Low-Resource BERT Distillation EMNLP 2020 Exploring the Use of an Artificial Accent of English to Assess Phonetic Learning in Monolingual and Bilingual Speakers Interspeech 2020 Exploring the Use of an Unsupervised Autoregressive Model as a Shared Encoder for Text-Dependent Speaker Verification Interspeech 2020 Exploring TTS Without T Using Biologically/Psychologically Motivated Neural Network Modules (ZeroSpeech 2020) Interspeech 2020 Exploring Unexplored Generalization Challenges for Cross-Database Semantic Parsing ACL 2020 Exploring Unlabeled Faces for Novel Attribute Discovery CVPR 2020 Exponential Family Graph Embeddings AAAI 2020 Exposing Shallow Heuristics of Relation Extraction Models with Challenge Data EMNLP 2020 Extensively Matching for Few-shot Learning Event Detection ACL 2020