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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)

Meta-Learning through Hebbian Plasticity in Random Networks NeurIPS 2020 Meta-Learning without Memorization ICLR 2020 Meta-Learning with Shared Amortized Variational Inference ICML 2020 MetaLight: Value-Based Meta-Reinforcement Learning for Traffic Signal Control AAAI 2020 METAL: Minimum Effort Temporal Activity Localization in Untrimmed Videos CVPR 2020 META: Metadata-Empowered Weak Supervision for Text Classification EMNLP 2020 Meta Multi-Task Learning for Speech Emotion Recognition Interspeech 2020 MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and Architectures NeurIPS 2020 Metaphor Detection using Context and Concreteness ACL 2020 MetaPix: Few-Shot Video Retargeting ICLR 2020 MetaPoison: Practical General-purpose Clean-label Data Poisoning NeurIPS 2020 Meta-Transfer Learning for Code-Switched Speech Recognition ACL 2020 Methods for Extracting Information from Messages from Primary Care Providers to Specialists ACL 2020 Metric-Free Individual Fairness in Online Learning NeurIPS 2020 metric-learn: Metric Learning Algorithms in Python JMLR 2020 microbatchGAN: Stimulating Diversity with Multi-Adversarial Discrimination WACV 2020 Midas: Microcluster-Based Detector of Anomalies in Edge Streams AAAI 2020 MIME: MIMicking Emotions for Empathetic Response Generation EMNLP 2020 Minimal Learning Machine: Theoretical Results and Clustering-Based Reference Point Selection JMLR 2020 Minimally distorted Adversarial Examples with a Fast Adaptive Boundary Attack ICML 2020 Minimax Rate for Learning From Pairwise Comparisons in the BTL Model ICML 2020 Minimizing the Bag-of-Ngrams Difference for Non-Autoregressive Neural Machine Translation AAAI 2020 Mining on Heterogeneous Manifolds for Zero-Shot Cross-Modal Image Retrieval AAAI 2020 Mining Unfollow Behavior in Large-Scale Online Social Networks via Spatial-Temporal Interaction AAAI 2020 Min-Max Optimization without Gradients: Convergence and Applications to Black-Box Evasion and Poisoning Attacks ICML 2020