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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)

Bootstrapping Named Entity Recognition in E-Commerce with Positive Unlabeled Learning ACL 2020 Bootstrapping Techniques for Polysynthetic Morphological Analysis ACL 2020 Bootstrap Your Own Latent - A New Approach to Self-Supervised Learning NeurIPS 2020 Boundary Enhanced Neural Span Classification for Nested Named Entity Recognition AAAI 2020 Boundary Extension Features for Width-Based Planning with Simulators on Continuous-State Domains IJCAI 2020 Bounded Rationality in Las Vegas: Probabilistic Finite Automata Play Multi-Armed Bandits UAI 2020 Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision MIDL 2020 Bounds and Complexity Results for Learning Coalition-Based Interaction Functions in Networked Social Systems AAAI 2020 Brain-Mediated Transfer Learning of Convolutional Neural Networks AAAI 2020 Brain Metastasis Segmentation Network Trained with Robustness to Annotations with Multiple False Negatives MIDL 2020 Branch and Bound for Piecewise Linear Neural Network Verification JMLR 2020 Breaking the Curse of Many Agents: Provable Mean Embedding Q-Iteration for Mean-Field Reinforcement Learning ICML 2020 Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search ICML 2020 Bridging Anaphora Resolution as Question Answering ACL 2020 Bridging Information-Seeking Human Gaze and Machine Reading Comprehension CoNLL 2020 Bridging Linguistic Typology and Multilingual Machine Translation with Multi-View Language Representations EMNLP 2020 Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness ICLR 2020 Bridging Ordinary-Label Learning and Complementary-Label Learning ACML 2020 Bridging Philippine Languages With Multilingual Neural Machine Translation AACL 2020 Bridging Text and Knowledge with Multi-Prototype Embedding for Few-Shot Relational Triple Extraction COLING 2020 Bridging the Gap Between Anchor-Based and Anchor-Free Detection via Adaptive Training Sample Selection CVPR 2020 Bridging the Gap Between f-GANs and Wasserstein GANs ICML 2020 Bridging the Gap between Prior and Posterior Knowledge Selection for Knowledge-Grounded Dialogue Generation EMNLP 2020 BRPO: Batch Residual Policy Optimization IJCAI 2020 Budgeted Online Influence Maximization ICML 2020