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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)

ResAD: A Simple Framework for Class Generalizable Anomaly Detection NeurIPS 2024 Research of Event Reconstruct Based on Multi-View Contrastive Learning (Student Abstract) AAAI 2024 Reshuffling Resampling Splits Can Improve Generalization of Hyperparameter Optimization NeurIPS 2024 Resilience of Large Language Models for Noisy Instructions EMNLP 2024 Resilient Constrained Reinforcement Learning AISTATS 2024 Resisting Backdoor Attacks in Federated Learning via Bidirectional Elections and Individual Perspective AAAI 2024 Resisting the Lure of the Skyline: Grounding Practices in Active Learning for Morphological Inflection ACL 2024 ResLoRA: Identity Residual Mapping in Low-Rank Adaption ACL 2024 Resource Acquisition for Understudied Languages: Extracting Wordlists from Dictionaries for Computer-assisted Language Comparison COLING 2024 Resource-Aware Federated Self-Supervised Learning with Global Class Representations NeurIPS 2024 Resource-Efficient Transformer Pruning for Finetuning of Large Models CVPR 2024 Response Enhanced Semi-supervised Dialogue Query Generation AAAI 2024 Responsible Bandit Learning via Privacy-Protected Mean-Volatility Utility AAAI 2024 Restless bandits with rewards generated by a linear Gaussian dynamical system L4DC 2024 ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search NeurIPS 2024 Restoration by Generation with Constrained Priors CVPR 2024 Restoring Mycenaean Linear B ‘A&B’ series tablets using supervised and transfer learning ACL 2024 Resurrecting Old Classes with New Data for Exemplar-Free Continual Learning CVPR 2024 Retentive or Forgetful? Diving into the Knowledge Memorizing Mechanism of Language Models COLING 2024 Rethink Cross-Modal Fusion in Weakly-Supervised Audio-Visual Video Parsing WACV 2024 Rethinking Adversarial Policies: A Generalized Attack Formulation and Provable Defense in RL ICLR 2024 Rethinking Adversarial Robustness in the Context of the Right to be Forgotten ICML 2024 Rethinking Causal Relationships Learning in Graph Neural Networks AAAI 2024 Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading Indicators ICLR 2024 Rethinking Correlation Learning via Label Prior for Open Set Domain Adaptation IJCAI 2024