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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)

Methodical Evaluation of Arabic Word Embeddings ACL 2017 MIML-FCN+: Multi-Instance Multi-Label Learning via Fully Convolutional Networks With Privileged Information CVPR 2017 Minimal Exploration in Structured Stochastic Bandits NeurIPS 2017 Minimax-optimal semi-supervised regression on unknown manifolds AISTATS 2017 Minimax rates for cost-sensitive learning on manifolds with approximate nearest neighbours ALT 2017 Minimizing Trust Leaks for Robust Sybil Detection ICML 2017 Mining Convex Polygon Patterns with Formal Concept Analysis IJCAI 2017 Mining Object Parts From CNNs via Active Question-Answering CVPR 2017 Missing Modalities Imputation via Cascaded Residual Autoencoder CVPR 2017 MMD GAN: Towards Deeper Understanding of Moment Matching Network NeurIPS 2017 MMN Responses in Adults After Exposure to Bimodal and Unimodal Frequency Distributions of Rotated Speech Interspeech 2017 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks ICML 2017 Model-Independent Online Learning for Influence Maximization ICML 2017 Modeling Dialogue Acts with Content Word Filtering and Speaker Preferences EMNLP 2017 Modeling Hebb Learning Rule for Unsupervised Learning IJCAI 2017 Model-Powered Conditional Independence Test NeurIPS 2017 Model Transfer for Tagging Low-resource Languages using a Bilingual Dictionary ACL 2017 Mode Switch Assistance To Maximize Human Intent Disambiguation RSS 2017 Modular Multitask Reinforcement Learning with Policy Sketches ICML 2017 Monte-Carlo Tree Search by Best Arm Identification NeurIPS 2017 MoodSwipe: A Soft Keyboard that Suggests MessageBased on User-Specified Emotions EMNLP 2017 Morphological Analysis of the Dravidian Language Family EACL 2017 MT/IE: Cross-lingual Open Information Extraction with Neural Sequence-to-Sequence Models EACL 2017 MTNA: A Neural Multi-task Model for Aspect Category Classification and Aspect Term Extraction On Restaurant Reviews IJCNLP 2017 Multi-Agent Systems of Inverse Reinforcement Learners in Complex Games IJCAI 2017