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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 Noisy Data in Distant Supervision Relation Classification NAACL 2019 Exploiting Persona Information for Diverse Generation of Conversational Responses IJCAI 2019 Exploiting Semi-Supervised Training Through a Dropout Regularization in End-to-End Speech Recognition Interspeech 2019 Exploiting Synthetically Generated Data with Semi-Supervised Learning for Small and Imbalanced Datasets AAAI 2019 Exploiting the Contagious Effect for Employee Turnover Prediction AAAI 2019 Exploiting the Ground-Truth: An Adversarial Imitation Based Knowledge Distillation Approach for Event Detection AAAI 2019 Exploration Bonus for Regret Minimization in Discrete and Continuous Average Reward MDPs NeurIPS 2019 Exploring k out of Top ρ Fraction of Arms in Stochastic Bandits AISTATS 2019 Exploring Computational User Models for Agent Policy Summarization IJCAI 2019 Exploring Deep Multimodal Fusion of Text and Photo for Hate Speech Classification ACL 2019 Exploring Diverse Expressions for Paraphrase Generation EMNLP 2019 Exploring Methods for the Automatic Detection of Errors in Manual Transcription Interspeech 2019 Exploring Object Relation in Mean Teacher for Cross-Domain Detection CVPR 2019 Exploring the Landscape of Spatial Robustness ICML 2019 Exploring Transfer Learning and Domain Data Selection for the Biomedical Translation ACL 2019 Exponential Family Estimation via Adversarial Dynamics Embedding NeurIPS 2019 Extending Event Detection to New Types with Learning from Keywords EMNLP 2019 Extensible Cross-Modal Hashing IJCAI 2019 Extract and Aggregate: A Novel Domain-Independent Approach to Factual Data Verification EMNLP 2019 Extracting relations between outcomes and significance levels in Randomized Controlled Trials (RCTs) publications ACL 2019 Extractive NarrativeQA with Heuristic Pre-Training EMNLP 2019 Extract, Transform and Filling: A Pipeline Model for Question Paraphrasing based on Template EMNLP 2019 Extrapolating Beyond Suboptimal Demonstrations via Inverse Reinforcement Learning from Observations ICML 2019 Extreme Multi-Label Legal Text Classification: A Case Study in EU Legislation NAACL 2019 Facebook AI’s WAT19 Myanmar-English Translation Task Submission EMNLP 2019