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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)

PacGAN: The power of two samples in generative adversarial networks NeurIPS 2018 PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning CVPR 2018 PAC-learning in the presence of adversaries NeurIPS 2018 Pairwise-Ranking based Collaborative Recurrent Neural Networks for Clinical Event Prediction IJCAI 2018 Parallel Bayesian Network Structure Learning ICML 2018 Parameter sharing between dependency parsers for related languages EMNLP 2018 Paraphrase Detection on Noisy Subtitles in Six Languages EMNLP 2018 Parser Training with Heterogeneous Treebanks ACL 2018 Parsimonious Quantile Regression of Financial Asset Tail Dynamics via Sequential Learning NeurIPS 2018 Partially-Supervised Image Captioning NeurIPS 2018 Partial Transfer Learning With Selective Adversarial Networks CVPR 2018 Part of Speech Tagging in Luyia: A Bantu Macrolanguage COLING 2018 Part-of-Speech Tagging on an Endangered Language: a Parallel Griko-Italian Resource COLING 2018 Party Matters: Enhancing Legislative Embeddings with Author Attributes for Vote Prediction ACL 2018 Path Consistency Learning in Tsallis Entropy Regularized MDPs ICML 2018 Path-Level Network Transformation for Efficient Architecture Search ICML 2018 Pathologies of Neural Models Make Interpretations Difficult EMNLP 2018 PD3: Better Low-Resource Cross-Lingual Transfer By Combining Direct Transfer and Annotation Projection EMNLP 2018 People, Penguins and Petri Dishes: Adapting Object Counting Models to New Visual Domains and Object Types Without Forgetting CVPR 2018 Permutation Invariant Training of Generative Adversarial Network for Monaural Speech Separation Interspeech 2018 Personalized Dynamics Models for Adaptive Assistive Navigation Systems CoRL 2018 Personalized Microblog Sentiment Classification via Adversarial Cross-lingual Multi-task Learning EMNLP 2018 Personalized Text Retrieval for Learners of Chinese as a Foreign Language COLING 2018 Personalizing Lexical Simplification COLING 2018 PG-TS: Improved Thompson Sampling for Logistic Contextual Bandits NeurIPS 2018