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Learning Types

56,253 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

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)

Papers per year

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Papers (including subtopics)

Generalizable Imitation Learning from Observation via Inferring Goal Proximity NeurIPS 2021 Generalizable Person Re-Identification With Relevance-Aware Mixture of Experts CVPR 2021 Generalizable Representation Learning for Mixture Domain Face Anti-Spoofing AAAI 2021 Generalization Bounds For Meta-Learning: An Information-Theoretic Analysis NeurIPS 2021 Generalization Bounds for Stochastic Saddle Point Problems AISTATS 2021 Generalization Guarantees for Neural Architecture Search with Train-Validation Split ICML 2021 Generalization in NLI: Ways (Not) To Go Beyond Simple Heuristics EMNLP 2021 Generalization in Portfolio-Based Algorithm Selection AAAI 2021 Generalization in Text-based Games via Hierarchical Reinforcement Learning EMNLP 2021 Generalization on Unseen Domains via Inference-Time Label-Preserving Target Projections CVPR 2021 Generalization Performance of Multi-pass Stochastic Gradient Descent with Convex Loss Functions JMLR 2021 Generalize a Small Pre-trained Model to Arbitrarily Large TSP Instances AAAI 2021 Generalized Adversarially Learned Inference AAAI 2021 Generalized and Incremental Few-Shot Learning by Explicit Learning and Calibration Without Forgetting ICCV 2021 Generalized DataWeighting via Class-Level Gradient Manipulation NeurIPS 2021 Generalized Depthwise-Separable Convolutions for Adversarially Robust and Efficient Neural Networks NeurIPS 2021 Generalized Domain Adaptation CVPR 2021 Generalized Few-Shot Object Detection Without Forgetting CVPR 2021 Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels NeurIPS 2021 Generalized Linear Bandits with Local Differential Privacy NeurIPS 2021 Generalized Multimodal ELBO ICLR 2021 Generalized Variational Continual Learning ICLR 2021 Generalized Zero-Shot Learning via Disentangled Representation AAAI 2021 Generalizing Face Forgery Detection With High-Frequency Features CVPR 2021 General Policies, Representations, and Planning Width AAAI 2021