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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)

Mining Possessions: Existence, Type and Temporal Anchors NAACL 2018 Mining Streaming and Temporal Data: from Representation to Knowledge IJCAI 2018 Mitigating Adversarial Effects Through Randomization ICLR 2018 Mitigating Bias in Adaptive Data Gathering via Differential Privacy ICML 2018 MITRE at SemEval-2018 Task 11: Commonsense Reasoning without Commonsense Knowledge SemEval 2018 Mix and Match Networks: Encoder-Decoder Alignment for Zero-Pair Image Translation CVPR 2018 Mixed batches and symmetric discriminators for GAN training ICML 2018 Mixed Causal Structure Discovery with Application to Prescriptive Pricing IJCAI 2018 Mix & Match Agent Curricula for Reinforcement Learning ICML 2018 Mixture of GANs for Clustering IJCAI 2018 MoCoGAN: Decomposing Motion and Content for Video Generation CVPR 2018 Model-Agnostic Private Learning NeurIPS 2018 Model Agnostic Supervised Local Explanations NeurIPS 2018 Model-free, Model-based, and General Intelligence IJCAI 2018 Modeling Naive Psychology of Characters in Simple Commonsense Stories ACL 2018 Modeling Noisiness to Recognize Named Entities using Multitask Neural Networks on Social Media NAACL 2018 Modeling with Recurrent Neural Networks for Open Vocabulary Slots COLING 2018 Model-Level Dual Learning ICML 2018 Modelling and unsupervised learning of symmetric deformable object categories NeurIPS 2018 Modular Continual Learning in a Unified Visual Environment ICLR 2018 Monte Carlo Syntax Marginals for Exploring and Using Dependency Parses NAACL 2018 Monte-Carlo Tree Search for Constrained POMDPs NeurIPS 2018 More Adaptive Algorithms for Adversarial Bandits COLT 2018 MS-UEdin Submission to the WMT2018 APE Shared Task: Dual-Source Transformer for Automatic Post-Editing EMNLP 2018 MTGAN: Speaker Verification through Multitasking Triplet Generative Adversarial Networks Interspeech 2018