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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)

Like a Baby: Visually Situated Neural Language Acquisition ACL 2019 Likelihood-Free Overcomplete ICA and Applications In Causal Discovery NeurIPS 2019 Limiting Extrapolation in Linear Approximate Value Iteration NeurIPS 2019 Limits of Private Learning with Access to Public Data NeurIPS 2019 Linear Stochastic Bandits Under Safety Constraints NeurIPS 2019 Lingua Custodia at WMT’19: Attempts to Control Terminology ACL 2019 Linguistic Evaluation of German-English Machine Translation Using a Test Suite ACL 2019 Linguistic Versus Latent Relations for Modeling Coherent Flow in Paragraphs EMNLP 2019 Linking artificial and human neural representations of language EMNLP 2019 Lipschitz Adaptivity with Multiple Learning Rates in Online Learning COLT 2019 Lipschitz Generative Adversarial Nets ICML 2019 List-decodable Linear Regression NeurIPS 2019 Listen, Attend, Spell and Adapt: Speaker Adapted Sequence-to-Sequence ASR Interspeech 2019 Literal or Pedagogic Human? Analyzing Human Model Misspecification in Objective Learning UAI 2019 LIUM’s Contributions to the WMT2019 News Translation Task: Data and Systems for German-French Language Pairs ACL 2019 Live Face De-Identification in Video ICCV 2019 Loaded DiCE: Trading off Bias and Variance in Any-Order Score Function Gradient Estimators for Reinforcement Learning NeurIPS 2019 Local Aggregation for Unsupervised Learning of Visual Embeddings ICCV 2019 Locale-agnostic Universal Domain Classification Model in Spoken Language Understanding NAACL 2019 Localizing Natural Language in Videos AAAI 2019 Localizing Unseen Activities in Video via Image Query IJCAI 2019 Local Koopman Operators for Data-Driven Control of Robotic Systems RSS 2019 Locally Weighted Regression Pseudo-Rehearsal for Adaptive Model Predictive Control CoRL 2019 Local Relationship Learning With Person-Specific Shape Regularization for Facial Action Unit Detection CVPR 2019 Local to Global Learning: Gradually Adding Classes for Training Deep Neural Networks CVPR 2019