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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)

Active Tolerant Testing COLT 2018 Adaboost with Auto-Evaluation for Conversational Models IJCAI 2018 Adaptable replanning with compressed linear action models for learning from demonstrations CoRL 2018 Adaptation to Easy Data in Prediction with Limited Advice NeurIPS 2018 ADAPT at SemEval-2018 Task 9: Skip-Gram Word Embeddings for Unsupervised Hypernym Discovery in Specialised Corpora SemEval 2018 Adapting Multilingual NMT to Extremely Low Resource Languages FBK’s Participation in the Basque-English Low-Resource MT Task, IWSLT 2018 EMNLP 2018 Adapting Word Embeddings to New Languages with Morphological and Phonological Subword Representations EMNLP 2018 Adaptive Collaborative Similarity Learning for Unsupervised Multi-view Feature Selection IJCAI 2018 Adaptive Exploration-Exploitation Tradeoff for Opportunistic Bandits ICML 2018 Adaptive Graph Guided Embedding for Multi-label Annotation IJCAI 2018 Adaptive Knowledge Sharing in Multi-Task Learning: Improving Low-Resource Neural Machine Translation ACL 2018 Adaptive Learning with Unknown Information Flows NeurIPS 2018 Adaptive Sampling for Coarse Ranking AISTATS 2018 Adaptive Semi-supervised Learning for Cross-domain Sentiment Classification EMNLP 2018 A Data Driven Approach to Predicting Rating Scores for New Restaurants ACML 2018 A Data Prism: Semi-verified learning in the small-alpha regime COLT 2018 A dataset and baselines for sequential open-domain question answering EMNLP 2018 Adding New Classes without Access to the Original Training Data with Applications to Language Identification Interspeech 2018 A Deep Bayesian Policy Reuse Approach Against Non-Stationary Agents NeurIPS 2018 A Deep Ensemble Model with Slot Alignment for Sequence-to-Sequence Natural Language Generation NAACL 2018 A Deeper Look into Dependency-Based Word Embeddings NAACL 2018 A Deep Framework for Cross-Domain and Cross-System Recommendations IJCAI 2018 A Deep Reinforced Model for Abstractive Summarization ICLR 2018 A Deep Relevance Model for Zero-Shot Document Filtering ACL 2018 A DIRT-T Approach to Unsupervised Domain Adaptation ICLR 2018