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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)

A Probabilistic Generative Model for Typographical Analysis of Early Modern Printing ACL 2020 A Programmatic and Semantic Approach to Explaining and Debugging Neural Network Based Object Detectors CVPR 2020 A PTAS for the Bayesian Thresholding Bandit Problem AISTATS 2020 A Quantile-based Approach for Hyperparameter Transfer Learning ICML 2020 Arabic dialect identification: An Arabic-BERT model with data augmentation and ensembling strategy COLING 2020 Arabic Dialect Identification Using BERT-Based Domain Adaptation COLING 2020 Arabic Dialect Identification Using BERT Fine-Tuning COLING 2020 Arabic Dialects Identification for All Arabic countries COLING 2020 Arabisc: Context-Sensitive Neural Spelling Checker AACL 2020 Are All Languages Created Equal in Multilingual BERT? ACL 2020 A Recipe for Creating Multimodal Aligned Datasets for Sequential Tasks ACL 2020 A Recurrent Model for Collective Entity Linking with Adaptive Features AAAI 2020 A Re-evaluation of Knowledge Graph Completion Methods ACL 2020 A Reinforced Generation of Adversarial Examples for Neural Machine Translation ACL 2020 A Reinforcement Learning Approach to Strategic Belief Revelation with Social Influence AAAI 2020 A Relaxed Matching Procedure for Unsupervised BLI ACL 2020 Are Noisy Sentences Useless for Distant Supervised Relation Extraction? AAAI 2020 A Report on the VarDial Evaluation Campaign 2020 COLING 2020 ARES: A Reading Comprehension Ensembling Service EMNLP 2020 Are Some Words Worth More than Others? EMNLP 2020 A Restricted Black-Box Adversarial Framework Towards Attacking Graph Embedding Models AAAI 2020 A Retrieve-and-Rewrite Initialization Method for Unsupervised Machine Translation ACL 2020 Are we Estimating or Guesstimating Translation Quality? ACL 2020 Argot: Generating Adversarial Readable Chinese Texts IJCAI 2020 A Risk Communication Event Detection Model via Contrastive Learning COLING 2020