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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)

Multi-Task Learning for Mispronunciation Detection on Singapore Children’s Mandarin Speech Interspeech 2017 Multi-Task Learning for Prosodic Structure Generation Using BLSTM RNN with Structured Output Layer Interspeech 2017 Multi-Task Learning for Speaker-Role Adaptation in Neural Conversation Models IJCNLP 2017 Multi-Task Learning of Keyphrase Boundary Classification ACL 2017 Multitask Learning with CTC and Segmental CRF for Speech Recognition Interspeech 2017 Multi-task Learning with Labeled and Unlabeled Tasks ICML 2017 Multitask Learning with Low-Level Auxiliary Tasks for Encoder-Decoder Based Speech Recognition Interspeech 2017 Multitask Spectral Learning of Weighted Automata NeurIPS 2017 Multi-Task Structured Prediction for Entity Analysis: Search-Based Learning Algorithms ACML 2017 Multi-Task Video Captioning with Video and Entailment Generation ACL 2017 Multi-view Clustering with Adaptively Learned Graph ACML 2017 Multi-View Decision Processes: The Helper-AI Problem NeurIPS 2017 Multi-view Feature Learning with Discriminative Regularization IJCAI 2017 Multi-View Supervision for Single-View Reconstruction via Differentiable Ray Consistency CVPR 2017 Multi-View Unsupervised User Feature Embedding for Social Media-based Substance Use Prediction EMNLP 2017 MUSE: Modularizing Unsupervised Sense Embeddings EMNLP 2017 Mutual Alignment Transfer Learning CoRL 2017 Naturalizing a Programming Language via Interactive Learning ACL 2017 Natural Language Does Not Emerge ‘Naturally’ in Multi-Agent Dialog EMNLP 2017 Natural Value Approximators: Learning when to Trust Past Estimates NeurIPS 2017 Nearly Instance Optimal Sample Complexity Bounds for Top-k Arm Selection AISTATS 2017 Near Minimax Optimal Players for the Finite-Time 3-Expert Prediction Problem NeurIPS 2017 Near-optimal Bayesian Active Learning with Correlated and Noisy Tests AISTATS 2017 Near-Optimal Edge Evaluation in Explicit Generalized Binomial Graphs NeurIPS 2017 Neural Architectures for Fine-grained Entity Type Classification EACL 2017