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Learning Types

56,253 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

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)

Papers per year

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Papers (including subtopics)

Few-Shot Keyword Spotting in Any Language Interspeech 2021 Few-shot Language Coordination by Modeling Theory of Mind ICML 2021 Few-shot Learning for Multi-label Intent Detection AAAI 2021 Few-shot Learning for Slot Tagging with Attentive Relational Network EACL 2021 Few-shot learning through contextual data augmentation EACL 2021 Few-Shot Learning via Feature Hallucination With Variational Inference WACV 2021 Few-Shot Learning with Part Discovery and Augmentation from Unlabeled Images IJCAI 2021 Few-Shot Lifelong Learning AAAI 2021 Few-Shot Named Entity Recognition: An Empirical Baseline Study EMNLP 2021 Few-shot Neural Human Performance Rendering from Sparse RGBD Videos IJCAI 2021 Few-Shot Novel Concept Learning for Semantic Parsing EMNLP 2021 Few-Shot Object Detection via Association and DIscrimination NeurIPS 2021 Few-Shot Object Detection via Classification Refinement and Distractor Retreatment CVPR 2021 Few-Shot One-Class Classification via Meta-Learning AAAI 2021 Few-Shot Open-Set Recognition by Transformation Consistency CVPR 2021 Few-Shot Partial-Label Learning IJCAI 2021 FewshotQA: A simple framework for few-shot learning of question answering tasks using pre-trained text-to-text models EMNLP 2021 Few-Shot Segmentation via Cycle-Consistent Transformer NeurIPS 2021 Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need? CVPR 2021 Few-Shot Semantic Parsing for New Predicates EACL 2021 Few-Shot Table-to-Text Generation with Prototype Memory EMNLP 2021 Few-Shot Text Ranking with Meta Adapted Synthetic Weak Supervision ACL 2021 Few-Shot Transformation of Common Actions Into Time and Space CVPR 2021 Few-Shot Visual Relationship Co-Localization ICCV 2021 FEWS: Large-Scale, Low-Shot Word Sense Disambiguation with the Dictionary EACL 2021