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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)

Large-Scale Heterogeneous Feature Embedding AAAI 2019 Large Scale Incremental Learning CVPR 2019 Large-Scale Interactive Object Segmentation With Human Annotators CVPR 2019 Large-Scale Interactive Recommendation with Tree-Structured Policy Gradient AAAI 2019 Large Scale Learning of Agent Rationality in Two-Player Zero-Sum Games AAAI 2019 Large-Scale Long-Tailed Recognition in an Open World CVPR 2019 Large Scale Markov Decision Processes with Changing Rewards NeurIPS 2019 Large-Scale, Metric Structure From Motion for Unordered Light Fields CVPR 2019 Large-Scale Multi-Label Text Classification on EU Legislation ACL 2019 Large-Scale Sparse Kernel Canonical Correlation Analysis ICML 2019 Large-Scale Study of Curiosity-Driven Learning ICLR 2019 Large-Scale Weakly-Supervised Pre-Training for Video Action Recognition CVPR 2019 LaSO: Label-Set Operations Networks for Multi-Label Few-Shot Learning CVPR 2019 LaSTUS/TALN at SemEval-2019 Task 6: Identification and Categorization of Offensive Language in Social Media with Attention-based Bi-LSTM model SemEval 2019 Latent Filter Scaling for Multimodal Unsupervised Image-To-Image Translation CVPR 2019 Latent Multi-Task Architecture Learning AAAI 2019 Latent Multi-view Semi-Supervised Classification ACML 2019 Latent Retrieval for Weakly Supervised Open Domain Question Answering ACL 2019 Latent semantic network induction in the context of linked example senses EMNLP 2019 Latent Space Autoregression for Novelty Detection CVPR 2019 Latent Suicide Risk Detection on Microblog via Suicide-Oriented Word Embeddings and Layered Attention EMNLP 2019 Latent Topic Attention for Domain Classification Interspeech 2019 Latent Variable Model for Multi-modal Translation ACL 2019 Lattice-Based Lightly-Supervised Acoustic Model Training Interspeech 2019 LBS Autoencoder: Self-Supervised Fitting of Articulated Meshes to Point Clouds CVPR 2019