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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)

Knowledge Distillation for Multilingual Unsupervised Neural Machine Translation ACL 2020 Knowledge-Enriched Visual Storytelling AAAI 2020 Knowledge Graph and Deep Neural Network for Extractive Text Summarization by Utilizing Triples COLING 2020 Knowledge Graph-Augmented Abstractive Summarization with Semantic-Driven Cloze Reward ACL 2020 Knowledge Graph Transfer Network for Few-Shot Recognition AAAI 2020 Knowledge Transfer for Learning Markov Equivalence Classes PGM 2020 Knowledge Transfer in Multi-Task Deep Reinforcement Learning for Continuous Control NeurIPS 2020 KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge IJCAI 2020 KU-CST at the SIGMORPHON 2020 Task 2 on Unsupervised Morphological Paradigm Completion ACL 2020 Kungfupanda at SemEval-2020 Task 12: BERT-Based Multi-TaskLearning for Offensive Language Detection SemEval 2020 Label Decoupling Framework for Salient Object Detection CVPR 2020 Label Distribution for Learning with Noisy Labels IJCAI 2020 Label-Efficient Training for Next Response Selection EMNLP 2020 Label Enhancement for Label Distribution Learning via Prior Knowledge IJCAI 2020 Label Enhancement with Sample Correlations via Low-Rank Representation AAAI 2020 Label Error Correction and Generation through Label Relationships AAAI 2020 Labelling unlabelled videos from scratch with multi-modal self-supervision NeurIPS 2020 Label Noise in Context ACL 2020 Label-Noise Robust Domain Adaptation ICML 2020 Label Propagation-Based Semi-Supervised Learning for Hate Speech Classification EMNLP 2020 Label Representations in Modeling Classification as Text Generation AACL 2020 Langsmith: An Interactive Academic Text Revision System EMNLP 2020 Language and Visual Entity Relationship Graph for Agent Navigation NeurIPS 2020 Language as a Cognitive Tool to Imagine Goals in Curiosity Driven Exploration NeurIPS 2020 Language GANs Falling Short ICLR 2020