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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)

Stochastic Proximal Langevin Algorithm: Potential Splitting and Nonasymptotic Rates NeurIPS 2019 Story Ending Generation with Incremental Encoding and Commonsense Knowledge AAAI 2019 StoryGAN: A Sequential Conditional GAN for Story Visualization CVPR 2019 Strategic Tasks for Explainable Reinforcement Learning AAAI 2019 Strategizing against No-regret Learners NeurIPS 2019 Streaming Bayesian Inference for Crowdsourced Classification NeurIPS 2019 Streaming Principal Component Analysis From Incomplete Data JMLR 2019 Strike (With) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects CVPR 2019 Striking the Right Balance With Uncertainty CVPR 2019 StrokeNet: A Neural Painting Environment ICLR 2019 Structural Scaffolds for Citation Intent Classification in Scientific Publications NAACL 2019 Structured Disentangled Representations AISTATS 2019 Structured Minimally Supervised Learning for Neural Relation Extraction NAACL 2019 Structured Neural Topic Models for Reviews AISTATS 2019 Structured Prediction with Projection Oracles NeurIPS 2019 Structure Learning with Side Information: Sample Complexity NeurIPS 2019 Structure-Preserving Stereoscopic View Synthesis With Multi-Scale Adversarial Correlation Matching CVPR 2019 Studying Summarization Evaluation Metrics in the Appropriate Scoring Range ACL 2019 Style Transformer: Unpaired Text Style Transfer without Disentangled Latent Representation ACL 2019 Submodular Optimization-based Diverse Paraphrasing and its Effectiveness in Data Augmentation NAACL 2019 Subspace Attack: Exploiting Promising Subspaces for Query-Efficient Black-box Attacks NeurIPS 2019 Subspace Inference for Bayesian Deep Learning UAI 2019 Subspace Structure-Aware Spectral Clustering for Robust Subspace Clustering ICCV 2019 Subtask Gated Networks for Non-Intrusive Load Monitoring AAAI 2019 Successor Features Based Multi-Agent RL for Event-Based Decentralized MDPs AAAI 2019