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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)

PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models CVPR 2020 Pushing the Limits of AMR Parsing with Self-Learning EMNLP 2020 PuzzLing Machines: A Challenge on Learning From Small Data ACL 2020 PyGlove: Symbolic Programming for Automated Machine Learning NeurIPS 2020 QASC: A Dataset for Question Answering via Sentence Composition AAAI 2020 QEBA: Query-Efficient Boundary-Based Blackbox Attack CVPR 2020 Q-learning with Language Model for Edit-based Unsupervised Summarization EMNLP 2020 Quadruply Stochastic Gradient Method for Large Scale Nonlinear Semi-Supervised Ordinal Regression AUC Optimization AAAI 2020 Quantifying Intimacy in Language EMNLP 2020 Quantifying Learnability and Describability of Visual Concepts Emerging in Representation Learning NeurIPS 2020 Quantifying the Contextualization of Word Representations with Semantic Class Probing EMNLP 2020 Quantifying the Evaluation of Heuristic Methods for Textual Data Augmentation EMNLP 2020 Quantitative argument summarization and beyond: Cross-domain key point analysis EMNLP 2020 Quantum Expectation-Maximization for Gaussian mixture models ICML 2020 QuASE: Question-Answer Driven Sentence Encoding ACL 2020 Quasi-Multitask Learning: an Efficient Surrogate for Obtaining Model Ensembles EMNLP 2020 Query Answering with Guarded Existential Rules under Stable Model Semantics AAAI 2020 Query-Driven Multi-Instance Learning AAAI 2020 Query-efficient Meta Attack to Deep Neural Networks ICLR 2020 Query-Focused EHR Summarization to Aid Imaging Diagnosis MLHC 2020 Querying to Find a Safe Policy under Uncertain Safety Constraints in Markov Decision Processes AAAI 2020 R4C: A Benchmark for Evaluating RC Systems to Get the Right Answer for the Right Reason ACL 2020 RaCT: Toward Amortized Ranking-Critical Training For Collaborative Filtering ICLR 2020 Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning AISTATS 2020 Randomization as Regularization: A Degrees of Freedom Explanation for Random Forest Success JMLR 2020