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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)

Logic-guided Semantic Representation Learning for Zero-Shot Relation Classification COLING 2020 Logics of Allies and Enemies: A Formal Approach to the Dynamics of Social Balance Theory IJCAI 2020 Log-Linear Reformulation of the Noisy Channel Model for Document-Level Neural Machine Translation EMNLP 2020 Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors NeurIPS 2020 Long-Short Term Masking Transformer: A Simple but Effective Baseline for Document-level Neural Machine Translation EMNLP 2020 Long Short-Term Sample Distillation AAAI 2020 Look-ahead Meta Learning for Continual Learning NeurIPS 2020 Look at the First Sentence: Position Bias in Question Answering EMNLP 2020 Look-Into-Object: Self-Supervised Structure Modeling for Object Recognition CVPR 2020 LoopReg: Self-supervised Learning of Implicit Surface Correspondences, Pose and Shape for 3D Human Mesh Registration NeurIPS 2020 Loss-Based Attention for Deep Multiple Instance Learning AAAI 2020 Loss Function Search for Face Recognition ICML 2020 Low-Resource Generation of Multi-hop Reasoning Questions ACL 2020 Low-Resource Knowledge-Grounded Dialogue Generation ICLR 2020 Low Resource Sequence Tagging using Sentence Reconstruction ACL 2020 Low Resource Sequence Tagging with Weak Labels AAAI 2020 Low-Variance Black-Box Gradient Estimates for the Plackett-Luce Distribution AAAI 2020 LT3 at SemEval-2020 Task 8: Multi-Modal Multi-Task Learning for Memotion Analysis SemEval 2020 LTF: A Label Transformation Framework for Correcting Label Shift ICML 2020 LTG-ST at NADI Shared Task 1: Arabic Dialect Identification using a Stacking Classifier COLING 2020 LT-Net: Label Transfer by Learning Reversible Voxel-Wise Correspondence for One-Shot Medical Image Segmentation CVPR 2020 LXPER Index 2.0: Improving Text Readability Assessment Model for L2 English Students in Korea AACL 2020 Lyceum: An efficient and scalable ecosystem for robot learning L4DC 2020 LynyrdSkynyrd at WNUT-2020 Task 2: Semi-Supervised Learning for Identification of Informative COVID-19 English Tweets EMNLP 2020 M2m: Imbalanced Classification via Major-to-Minor Translation CVPR 2020