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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)

SURF: A Simple, Universal, Robust, Fast Distribution Learning Algorithm NeurIPS 2020 Suspicion-Free Adversarial Attacks on Clustering Algorithms AAAI 2020 SVRG for Policy Evaluation with Fewer Gradient Evaluations IJCAI 2020 Swarm Intelligence for Self-Organized Clustering (Extended Abstract) IJCAI 2020 Swimming with the Tide? Positional Claim Detection across Political Text Types EMNLP 2020 Switching Poisson Gamma Dynamical Systems IJCAI 2020 SymGAN: Orientation Estimation without Annotation for Symmetric Objects WACV 2020 Symmetry and Group in Attribute-Object Compositions CVPR 2020 Syn2Real Transfer Learning for Image Deraining Using Gaussian Processes CVPR 2020 Synbols: Probing Learning Algorithms with Synthetic Datasets NeurIPS 2020 SynSetExpan: An Iterative Framework for Joint Entity Set Expansion and Synonym Discovery EMNLP 2020 Syntactic and Semantic-driven Learning for Open Information Extraction EMNLP 2020 Syntactic Data Augmentation Increases Robustness to Inference Heuristics ACL 2020 Syntax-Aware Opinion Role Labeling with Dependency Graph Convolutional Networks ACL 2020 SyntaxGym: An Online Platform for Targeted Evaluation of Language Models ACL 2020 Synthesizing Action Sequences for Modifying Model Decisions AAAI 2020 Synthetic Examples Improve Generalization for Rare Classes WACV 2020 System Identification with Time-Aware Neural Sequence Models AAAI 2020 T3: Tree-Autoencoder Constrained Adversarial Text Generation for Targeted Attack EMNLP 2020 TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data ACL 2020 Table2Analysis: Modeling and Recommendation of Common Analysis Patterns for Multi-Dimensional Data AAAI 2020 Table Fact Verification with Structure-Aware Transformer EMNLP 2020 Tabouid: a Wikipedia-based word guessing game ACL 2020 Tackling the Low-resource Challenge for Canonical Segmentation EMNLP 2020 TACRED Revisited: A Thorough Evaluation of the TACRED Relation Extraction Task ACL 2020