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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)

A Closer Look at Data Bias in Neural Extractive Summarization Models EMNLP 2019 A Closer Look At Feature Space Data Augmentation For Few-Shot Intent Classification EMNLP 2019 A Comparative Analysis of Expected and Distributional Reinforcement Learning AAAI 2019 A Comparative Analysis of Unsupervised Language Adaptation Methods EMNLP 2019 A Comparison of Deep Learning Methods for Language Understanding Interspeech 2019 A comparison of statistical association measures for identifying dependency-based collocations in various languages. ACL 2019 A comprehensive, application-oriented study of catastrophic forgetting in DNNs ICLR 2019 A Context-based Framework for Modeling the Role and Function of On-line Resource Citations in Scientific Literature EMNLP 2019 A Corpus for Reasoning about Natural Language Grounded in Photographs ACL 2019 Acoustic Model Bootstrapping Using Semi-Supervised Learning Interspeech 2019 Acoustic Scene Classification by Implicitly Identifying Distinct Sound Events Interspeech 2019 Acoustic-to-Word Models with Conversational Context Information NAACL 2019 Acquiring Annotated Data with Cross-lingual Explicitation for Implicit Discourse Relation Classification NAACL 2019 A Cross-Topic Method for Supervised Relevance Classification EMNLP 2019 A Crowdsourced Corpus of Multiple Judgments and Disagreement on Anaphoric Interpretation NAACL 2019 Actional-Structural Graph Convolutional Networks for Skeleton-Based Action Recognition CVPR 2019 Action Knowledge Transfer for Action Prediction with Partial Videos AAAI 2019 Action Recognition From Single Timestamp Supervision in Untrimmed Videos CVPR 2019 Active Annotation: Bootstrapping Annotation Lexicon and Guidelines for Supervised NLU Learning Interspeech 2019 Active Change-Point Detection ACML 2019 Active Domain Randomization CoRL 2019 Active Embedding Search via Noisy Paired Comparisons ICML 2019 Active Exploration in Markov Decision Processes AISTATS 2019 Active Generative Adversarial Network for Image Classification AAAI 2019 ActiveHNE: Active Heterogeneous Network Embedding IJCAI 2019