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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)

The Effect of Arabic Dialect Familiarity on Data Annotation EMNLP 2022 The Effects of Corpus Choice and Morphosyntax on Multilingual Space Induction EMNLP 2022 The Effects of Reward Misspecification: Mapping and Mitigating Misaligned Models ICLR 2022 The Emotion is Not One-hot Encoding: Learning with Grayscale Label for Emotion Recognition in Conversation Interspeech 2022 The Geometry of Memoryless Stochastic Policy Optimization in Infinite-Horizon POMDPs ICLR 2022 The Geometry of Robust Value Functions ICML 2022 The Implicit Delta Method NeurIPS 2022 The Importance of Being Parameters: An Intra-Distillation Method for Serious Gains EMNLP 2022 The Importance of Future Information in Credit Card Fraud Detection AISTATS 2022 The Importance of Hyperparameter Optimisation for Facial Recognition Applications AAAI 2022 The Importance of Non-Markovianity in Maximum State Entropy Exploration ICML 2022 The Infinite Contextual Graph Markov Model ICML 2022 The Information Geometry of Unsupervised Reinforcement Learning ICLR 2022 The King Is Naked: On the Notion of Robustness for Natural Language Processing AAAI 2022 The Mechanism of Prediction Head in Non-contrastive Self-supervised Learning NeurIPS 2022 The Nature of Temporal Difference Errors in Multi-step Distributional Reinforcement Learning NeurIPS 2022 The Neural Race Reduction: Dynamics of Abstraction in Gated Networks ICML 2022 The Neural Testbed: Evaluating Joint Predictions NeurIPS 2022 The NiuTrans Machine Translation Systems for WMT22 EMNLP 2022 The NiuTrans’s Submission to the IWSLT22 English-to-Chinese Offline Speech Translation Task ACL 2022 The Norm Must Go On: Dynamic Unsupervised Domain Adaptation by Normalization CVPR 2022 The Only Chance to Understand: Machine Translation of the Severely Endangered Low-resource Languages of Eurasia COLING 2022 The optimal noise in noise-contrastive learning is not what you think UAI 2022 Theoretical Foundations of t-SNE for Visualizing High-Dimensional Clustered Data JMLR 2022 The Pareto Frontier of Instance-Dependent Guarantees in Multi-Player Multi-Armed Bandits with no Communication COLT 2022