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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)

Cost Effective Active Search NeurIPS 2019 Cost-Sensitive BERT for Generalisable Sentence Classification on Imbalanced Data EMNLP 2019 Cost-sensitive Regularization for Label Confusion-aware Event Detection ACL 2019 Cost-Sensitive Robustness against Adversarial Examples ICLR 2019 CoT: Cooperative Training for Generative Modeling of Discrete Data ICML 2019 Co-training for Policy Learning UAI 2019 Countdown Regression: Sharp and Calibrated Survival Predictions UAI 2019 Counterfactual Randomization: Rescuing Experimental Studies from Obscured Confounding AAAI 2019 Counterfactual Reasoning in Observational Studies AAAI 2019 Counterfactual Story Reasoning and Generation EMNLP 2019 Countering the Effects of Lead Bias in News Summarization via Multi-Stage Training and Auxiliary Losses EMNLP 2019 Counting With Focus for Free ICCV 2019 Coupling Global and Local Context for Unsupervised Aspect Extraction EMNLP 2019 Course Concept Expansion in MOOCs with External Knowledge and Interactive Game ACL 2019 Cousin Network Guided Sketch Recognition via Latent Attribute Warehouse AAAI 2019 Covariate Shift Adaptation on Learning from Positive and Unlabeled Data AAAI 2019 CPM-Nets: Cross Partial Multi-View Networks NeurIPS 2019 Crash to Not Crash: Learn to Identify Dangerous Vehicles Using a Simulator AAAI 2019 CRAVES: Controlling Robotic Arm With a Vision-Based Economic System CVPR 2019 Crawling the Community Structure of Multiplex Networks AAAI 2019 Creativity Inspired Zero-Shot Learning ICCV 2019 Cross-Corpora Evaluation and Analysis of Grammatical Error Correction Models — Is Single-Corpus Evaluation Enough? NAACL 2019 Cross-Corpus Speech Emotion Recognition Using Semi-Supervised Transfer Non-Negative Matrix Factorization with Adaptation Regularization Interspeech 2019 Cross-Dataset Person Re-Identification via Unsupervised Pose Disentanglement and Adaptation ICCV 2019 Cross-domain and Cross-lingual Abusive Language Detection: A Hybrid Approach with Deep Learning and a Multilingual Lexicon ACL 2019