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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)

Migration as Submodular Optimization AAAI 2019 Mindful Active Learning IJCAI 2019 MineRL: A Large-Scale Dataset of Minecraft Demonstrations IJCAI 2019 Minimally-Augmented Grammatical Error Correction EMNLP 2019 Minimally Supervised Learning of Affective Events Using Discourse Relations EMNLP 2019 Minimal Variance Sampling in Stochastic Gradient Boosting NeurIPS 2019 Minimax Online Prediction of Varying Bernoulli Process under Variational Approximation ACML 2019 Minimizers of the Empirical Risk and Risk Monotonicity NeurIPS 2019 Minimum Intervention Cover of a Causal Graph AAAI 2019 Mining Discourse Markers for Unsupervised Sentence Representation Learning NAACL 2019 Mining Entity Synonyms with Efficient Neural Set Generation AAAI 2019 Mining GOLD Samples for Conditional GANs NeurIPS 2019 Min-Max Statistical Alignment for Transfer Learning CVPR 2019 MIPT System for World-Level Quality Estimation ACL 2019 Mirroring without Overimitation: Learning Functionally Equivalent Manipulation Actions AAAI 2019 MiSC: Mixed Strategies Crowdsourcing IJCAI 2019 MisGAN: Learning from Incomplete Data with Generative Adversarial Networks ICLR 2019 Misleading Failures of Partial-input Baselines ACL 2019 Miss Detection vs. False Alarm: Adversarial Learning for Small Object Segmentation in Infrared Images ICCV 2019 Miss Tools and Mr Fruit: Emergent Communication in Agents Learning about Object Affordances ACL 2019 Mitigating Gender and L1 Differences to Improve State and Trait Recognition Interspeech 2019 Mitigating Information Leakage in Image Representations: A Maximum Entropy Approach CVPR 2019 Mixed High-Order Attention Network for Person Re-Identification ICCV 2019 MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing ICML 2019 MixMatch: A Holistic Approach to Semi-Supervised Learning NeurIPS 2019