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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)

Learning Zero-Sum Simultaneous-Move Markov Games Using Function Approximation and Correlated Equilibrium COLT 2020 Learn with Noisy Data via Unsupervised Loss Correction for Weakly Supervised Reading Comprehension COLING 2020 Least General Generalizations in Description Logic: Verification and Existence AAAI 2020 Less is Better: A cognitively inspired unsupervised model for language segmentation COLING 2020 Less Is Better: Unweighted Data Subsampling via Influence Function AAAI 2020 Less is More: Attention Supervision with Counterfactuals for Text Classification EMNLP 2020 Let’s Stop Incorrect Comparisons in End-to-end Relation Extraction! EMNLP 2020 Leveraging Declarative Knowledge in Text and First-Order Logic for Fine-Grained Propaganda Detection EMNLP 2020 Leveraging Document-Level Label Consistency for Named Entity Recognition IJCAI 2020 Leveraging Monolingual Data with Self-Supervision for Multilingual Neural Machine Translation ACL 2020 Leveraging Multi-Token Entities in Document-Level Named Entity Recognition AAAI 2020 Leveraging Multi-View Image Sets for Unsupervised Intrinsic Image Decomposition and Highlight Separation AAAI 2020 Leveraging Photometric Consistency Over Time for Sparsely Supervised Hand-Object Reconstruction CVPR 2020 Leveraging Pretrained Image Classifiers for Language-Based Segmentation WACV 2020 Leveraging Unlabeled Speech for Sequence Discriminative Training of Acoustic Models Interspeech 2020 LG-GAN: Label Guided Adversarial Network for Flexible Targeted Attack of Point Cloud Based Deep Networks CVPR 2020 LGML: Logic Guided Machine Learning (Student Abstract) AAAI 2020 Lifelong Language Knowledge Distillation EMNLP 2020 Lifelong Learning with a Changing Action Set AAAI 2020 Lifelong Policy Gradient Learning of Factored Policies for Faster Training Without Forgetting NeurIPS 2020 Lifelong Spectral Clustering AAAI 2020 Lifelong Zero-Shot Learning IJCAI 2020 Lightweight 3D Human Pose Estimation Network Training Using Teacher-Student Learning WACV 2020 Lightweight and Robust Representation of Economic Scales from Satellite Imagery AAAI 2020 Light-weight Calibrator: A Separable Component for Unsupervised Domain Adaptation CVPR 2020