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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)

Improving Neural Story Generation by Targeted Common Sense Grounding EMNLP 2019 Improving One-Class Collaborative Filtering via Ranking-Based Implicit Regularizer AAAI 2019 Improving Optimization Bounds Using Machine Learning: Decision Diagrams Meet Deep Reinforcement Learning AAAI 2019 Improving Pedestrian Attribute Recognition With Weakly-Supervised Multi-Scale Attribute-Specific Localization ICCV 2019 Improving Precision of Grammatical Error Correction with a Cheat Sheet ACL 2019 Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader ACL 2019 Improving Question Answering with External Knowledge EMNLP 2019 Improving Robustness of Neural Machine Translation with Multi-task Learning ACL 2019 Improving Search with Supervised Learning in Trick-Based Card Games AAAI 2019 Improving Statute Prediction via Mining Correlations between Statutes ACML 2019 Improving the Robustness of Deep Neural Networks via Adversarial Training with Triplet Loss IJCAI 2019 Improving the Robustness of Deep Reading Comprehension Models by Leveraging Syntax Prior EMNLP 2019 Improving the Robustness of Question Answering Systems to Question Paraphrasing ACL 2019 Improving Transferability of Adversarial Examples With Input Diversity CVPR 2019 Improving Unsupervised Subword Modeling via Disentangled Speech Representation Learning and Transformation Interspeech 2019 Improving Zero-shot Translation with Language-Independent Constraints ACL 2019 Imputing Missing Events in Continuous-Time Event Streams ICML 2019 Incomplete Label Multi-Task Deep Learning for Spatio-Temporal Event Subtype Forecasting AAAI 2019 Incorporating Behavioral Constraints in Online AI Systems AAAI 2019 Incorporating Label Dependencies in Multilabel Stance Detection EMNLP 2019 Incorporating Network Embedding into Markov Random Field for Better Community Detection AAAI 2019 Incorporating Visual Semantics into Sentence Representations within a Grounded Space EMNLP 2019 Incorporating Word and Subword Units in Unsupervised Machine Translation Using Language Model Rescoring ACL 2019 Incorporating Word Attention into Character-Based Word Segmentation NAACL 2019 Incremental Class Discovery for Semantic Segmentation With RGBD Sensing ICCV 2019