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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)

Train Once for All: A Transitional Approach for Efficient Aspect Sentiment Triplet Extraction EMNLP 2025 TrajCogn: Leveraging LLMs for Cognizing Movement Patterns and Travel Purposes from Trajectories IJCAI 2025 TransBERT: A Framework for Synthetic Translation in Domain-Specific Language Modeling EMNLP 2025 Transferable Adversarial Face Attack with Text Controlled Attribute AAAI 2025 Transferable Direct Prompt Injection via Activation-Guided MCMC Sampling EMNLP 2025 Transferable Relativistic Predictor: Mitigating Cross-Task Cold-Start Issue in NAS IJCAI 2025 Transfer-Aware Data Selection for Domain Adaptation in Text Retrieval EMNLP 2025 Transfer learning for dependency parsing of Vedic Sanskrit EMNLP 2025 Transfer Learning for High-dimensional Reduced Rank Time Series Models AISTATS 2025 Transfer Learning in Financial Time Series with Gramian Angular Field (Student Abstract) AAAI 2025 Transfer Learning Meets Functional Linear Regression: No Negative Transfer Under Posterior Drift AAAI 2025 Transfer Learning of Real Image Features with Soft Contrastive Loss for Fake Image Detection AAAI 2025 Transfer Neyman-Pearson Algorithm for Outlier Detection AISTATS 2025 Transfer of Structural Knowledge from Synthetic Languages ACL 2025 Transfer or Translate? Argument Mining in Arabic with No Native Annotations EMNLP 2025 Transfer Q-Learning with Composite MDP Structures ICML 2025 Transferring Foundation Models for Generalizable Robotic Manipulation WACV 2025 Transformer-based Causal Language Models Perform Clustering NAACL 2025 Transformer-based Speech Model Learns Well as Infants and Encodes Abstractions through Exemplars in the Poverty of the Stimulus Environment COLING 2025 Transformers are Universal In-context Learners ICLR 2025 Transformers Handle Endogeneity in In-Context Linear Regression ICLR 2025 Transformers: Leveraging OpenNMT and Transfer Learning for Low-Resource Indian Language Translation EMNLP 2025 Transforming adaptation tracking: benchmarking Transformer-based NLP approaches to retrieve adaptation-relevant information from climate policy text ACL 2025 Transform Retrieval for Textual Entailment in RAG NAACL 2025 Transitive self-consistency evaluation of NLI models without gold labels EMNLP 2025