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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)

Multivariate Convolutional Sparse Coding for Electromagnetic Brain Signals NeurIPS 2018 Multivariate Time Series Imputation with Generative Adversarial Networks NeurIPS 2018 Multi-View Consistency as Supervisory Signal for Learning Shape and Pose Prediction CVPR 2018 Multi-view Models for Political Ideology Detection of News Articles EMNLP 2018 MUSCAT: Multi-Scale Spatio-Temporal Learning with Application to Climate Modeling IJCAI 2018 Music Genre Recognition Using Deep Neural Networks and Transfer Learning Interspeech 2018 NAG: Network for Adversary Generation CVPR 2018 Named Entity Recognition for Hindi-English Code-Mixed Social Media Text ACL 2018 Named Entity Recognition on Code-Switched Data: Overview of the CALCS 2018 Shared Task ACL 2018 Named-Entity Tagging and Domain adaptation for Better Customized Translation ACL 2018 Natural Language Inference with Definition Embedding Considering Context On the Fly ACL 2018 Near Optimal Exploration-Exploitation in Non-Communicating Markov Decision Processes NeurIPS 2018 Near-Optimal Machine Teaching via Explanatory Teaching Sets AISTATS 2018 Near-Optimal Policies for Dynamic Multinomial Logit Assortment Selection Models NeurIPS 2018 Near-Optimal Time and Sample Complexities for Solving Markov Decision Processes with a Generative Model NeurIPS 2018 NetGAN: Generating Graphs via Random Walks ICML 2018 Neural Adaptation Layers for Cross-domain Named Entity Recognition EMNLP 2018 Neural Adversarial Training for Semi-supervised Japanese Predicate-argument Structure Analysis ACL 2018 Neural Architecture Optimization NeurIPS 2018 Neural Argument Generation Augmented with Externally Retrieved Evidence ACL 2018 Neural Automated Essay Scoring and Coherence Modeling for Adversarially Crafted Input NAACL 2018 Neural Coreference Resolution with Deep Biaffine Attention by Joint Mention Detection and Mention Clustering ACL 2018 Neural Dynamic Programming for Musical Self Similarity ICML 2018 Neural Fine-Grained Entity Type Classification with Hierarchy-Aware Loss NAACL 2018 Neural-Guided Deductive Search for Real-Time Program Synthesis from Examples ICLR 2018