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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)

Comparative Document Summarisation via Classification AAAI 2019 Comparative judgments are more consistent than binary classification for labelling word complexity ACL 2019 Comparing Unsupervised Word Translation Methods Step by Step NeurIPS 2019 Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation CVPR 2019 Competitive experience replay ICLR 2019 CompILE: Compositional Imitation Learning and Execution ICML 2019 Compiler Auto-Vectorization with Imitation Learning NeurIPS 2019 Complementary-Label Learning for Arbitrary Losses and Models ICML 2019 Complementary Learning for Overcoming Catastrophic Forgetting Using Experience Replay IJCAI 2019 Complement Objective Training ICLR 2019 Completely Unsupervised Phoneme Recognition by a Generative Adversarial Network Harmonized with Iteratively Refined Hidden Markov Models Interspeech 2019 Complete Search for Feature Selection in Decision Trees JMLR 2019 Complexity-Weighted Loss and Diverse Reranking for Sentence Simplification NAACL 2019 Complex Moment-Based Supervised Eigenmap for Dimensionality Reduction AAAI 2019 Complex Word Identification as a Sequence Labelling Task ACL 2019 Composable Modular Reinforcement Learning AAAI 2019 Compositional Questions Do Not Necessitate Multi-hop Reasoning ACL 2019 Compositional Semantic Parsing across Graphbanks ACL 2019 Comprehensive Semi-Supervised Multi-Modal Learning IJCAI 2019 Compressing Unknown Images With Product Quantizer for Efficient Zero-Shot Classification CVPR 2019 Compression with Flows via Local Bits-Back Coding NeurIPS 2019 Computational Limitations in Robust Classification and Win-Win Results COLT 2019 Computer Assisted Annotation of Tension Development in TED Talks through Crowdsourcing EMNLP 2019 Computing Full Conformal Prediction Set with Approximate Homotopy NeurIPS 2019 CONAN - COunter NArratives through Nichesourcing: a Multilingual Dataset of Responses to Fight Online Hate Speech ACL 2019