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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)

Stochastic Online Learning with Feedback Graphs: Finite-Time and Asymptotic Optimality NeurIPS 2022 Stochastic Planner-Actor-Critic for Unsupervised Deformable Image Registration AAAI 2022 Stochastic Reweighted Gradient Descent ICML 2022 Stochastic Rising Bandits ICML 2022 Stochastic Second-Order Methods Improve Best-Known Sample Complexity of SGD for Gradient-Dominated Functions NeurIPS 2022 Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the Adversarial Transferability CVPR 2022 Stock Price Volatility Prediction: A Case Study with AutoML EMNLP 2022 Stop Measuring Calibration When Humans Disagree EMNLP 2022 StoryER: Automatic Story Evaluation via Ranking, Rating and Reasoning EMNLP 2022 StoryQ—an Online Environment for Machine Learning of Text Classification AAAI 2022 Strategic Instrumental Variable Regression: Recovering Causal Relationships From Strategic Responses ICML 2022 Strategic ranking AISTATS 2022 Strategic Representation ICML 2022 Strategies to Improve Few-shot Learning for Intent Classification and Slot-Filling NAACL 2022 Strategizing against Learners in Bayesian Games COLT 2022 Streaming Algorithm for Monotone k-Submodular Maximization with Cardinality Constraints ICML 2022 Streaming Inference for Infinite Feature Models ICML 2022 StreamingQA: A Benchmark for Adaptation to New Knowledge over Time in Question Answering Models ICML 2022 Stretching Sentence-pair NLI Models to Reason over Long Documents and Clusters EMNLP 2022 Strong Heuristics for Named Entity Linking NAACL 2022 Structural Agnostic Modeling: Adversarial Learning of Causal Graphs JMLR 2022 Structural Constraints and Natural Language Inference for End-to-End Flowchart Grounded Dialog Response Generation EMNLP 2022 Structural Contrastive Representation Learning for Zero-shot Multi-label Text Classification EMNLP 2022 Structural generalization is hard for sequence-to-sequence models EMNLP 2022 Structural information in mathematical formulas for exercise difficulty prediction: a comparison of NLP representations NAACL 2022