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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)

HS^2: Active learning over hypergraphs with pointwise and pairwise queries AISTATS 2019 X-Armed Bandits: Optimizing Quantiles, CVaR and Other Risks ACML 2019 2.5D Visual Sound CVPR 2019 3C-Net: Category Count and Center Loss for Weakly-Supervised Action Localization ICCV 2019 3D Face Modeling From Diverse Raw Scan Data ICCV 2019 3D Hand Shape and Pose Estimation From a Single RGB Image CVPR 2019 3D Human Pose Estimation in Video With Temporal Convolutions and Semi-Supervised Training CVPR 2019 3D Local Features for Direct Pairwise Registration CVPR 2019 75 Languages, 1 Model: Parsing Universal Dependencies Universally EMNLP 2019 A Bayesian Approach for Sequence Tagging with Crowds EMNLP 2019 A Bayesian Approach to Robust Reinforcement Learning UAI 2019 Abbreviation Explorer - an interactive system for pre-evaluation of Unsupervised Abbreviation Disambiguation NAACL 2019 A Benchmark Corpus of English Misspellings and a Minimally-supervised Model for Spelling Correction ACL 2019 A Bottom-Up Clustering Approach to Unsupervised Person Re-Identification AAAI 2019 A Bridge between Liquid and Social Welfare in Combinatorial Auctions with Submodular Bidders AAAI 2019 Abstractive Text Summarization by Incorporating Reader Comments AAAI 2019 Abstractive Timeline Summarization EMNLP 2019 Academic Reader: An Interactive Question Answering System on Academic Literatures AAAI 2019 A Cascade Model for Proposition Extraction in Argumentation ACL 2019 Accelerating Imitation Learning with Predictive Models AISTATS 2019 Accurate Layerwise Interpretable Competence Estimation NeurIPS 2019 Accurate, reliable and fast robustness evaluation NeurIPS 2019 Accurate Uncertainty Estimation and Decomposition in Ensemble Learning NeurIPS 2019 ACE: Adapting to Changing Environments for Semantic Segmentation ICCV 2019 Achieving Causal Fairness through Generative Adversarial Networks IJCAI 2019