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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)

Continual Learning in Low-rank Orthogonal Subspaces NeurIPS 2020 Continual Learning Long Short Term Memory EMNLP 2020 Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks NeurIPS 2020 Continual Learning with Adaptive Weights (CLAW) ICLR 2020 Continual Learning with Bayesian Neural Networks for Non-Stationary Data ICLR 2020 Continual Learning With Extended Kronecker-Factored Approximate Curvature CVPR 2020 Continual learning with hypernetworks ICLR 2020 Continual Learning with Node-Importance based Adaptive Group Sparse Regularization NeurIPS 2020 Continual Lifelong Learning in Natural Language Processing: A Survey COLING 2020 Continual Relation Learning via Episodic Memory Activation and Reconsolidation ACL 2020 Continuity of Topic, Interaction, and Query: Learning to Quote in Online Conversations EMNLP 2020 Continuous Meta-Learning without Tasks NeurIPS 2020 Continuous Multiagent Control Using Collective Behavior Entropy for Large-Scale Home Energy Management AAAI 2020 Continuous Object Representation Networks: Novel View Synthesis without Target View Supervision NeurIPS 2020 ContraCAT: Contrastive Coreference Analytical Templates for Machine Translation COLING 2020 Contract Discovery: Dataset and a Few-Shot Semantic Retrieval Challenge with Competitive Baselines EMNLP 2020 ContraGAN: Contrastive Learning for Conditional Image Generation NeurIPS 2020 Contrastive Distillation on Intermediate Representations for Language Model Compression EMNLP 2020 Contrastive Divergence Learning with Chained Belief Propagation PGM 2020 Contrastive learning of global and local features for medical image segmentation with limited annotations NeurIPS 2020 Contrastive Learning of Structured World Models ICLR 2020 Contrastive Learning with Adversarial Examples NeurIPS 2020 Contrastive Multi-View Representation Learning on Graphs ICML 2020 Contrastive Predictive Coding of Audio with an Adversary Interspeech 2020 Contrastive Representation Distillation ICLR 2020