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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)

Enhancing Graph Contrastive Learning for Protein Graphs from Perspective of Invariance ICML 2025 Enhancing Hate Speech Classifiers through a Gradient-assisted Counterfactual Text Generation Strategy EMNLP 2025 Enhancing Human Evaluation in Machine Translation with Comparative Judgement ACL 2025 Enhancing Input-Label Mapping in In-Context Learning with Contrastive Decoding ACL 2025 Enhancing Language Model Agents using Diversity of Thoughts ICLR 2025 Enhancing Learning with Label Differential Privacy by Vector Approximation ICLR 2025 Enhancing LLM-as-a-Judge through Active-Sampling-based Prompt Optimization ACL 2025 Enhancing LLM Knowledge Learning through Generalization EMNLP 2025 Enhancing LLM Language Adaption through Cross-lingual In-Context Pre-training EMNLP 2025 Enhancing Logical Reasoning in Language Models via Symbolically-Guided Monte Carlo Process Supervision EMNLP 2025 Enhancing Long-and Short-Term Representations for Next POI Recommendations via Frequency and Hierarchical Contrastive Learning AAAI 2025 Enhancing Low-Resource Text Classification with LLM-Generated Corpora : A Case Study on Olfactory Reference Extraction IJCNLP 2025 Enhancing Machine Translation with Self-Supervised Preference Data ACL 2025 Enhancing Mamba Decoder with Bidirectional Interaction in Multi-Task Dense Prediction ICCV 2025 Enhancing Masked Time-Series Modeling via Dropping Patches AAAI 2025 Enhancing Medical Dialogue Generation through Knowledge Refinement and Dynamic Prompt Adjustment ACL 2025 Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks WACV 2025 Enhancing Multi-Hop Fact Verification with Structured Knowledge-Augmented Large Language Models AAAI 2025 Enhancing Multimodal Affective Analysis with Learned Live Comment Features AAAI 2025 Enhancing Multimodal Continual Instruction Tuning with BranchLoRA ACL 2025 Enhancing Multimodal Entity Linking with Jaccard Distance-based Conditional Contrastive Learning and Contextual Visual Augmentation NAACL 2025 Enhancing Multimodal Model Robustness Under Missing Modalities via Memory-Driven Prompt Learning IJCAI 2025 Enhancing Multimodal Protein Function Prediction Through Dual-Branch Dynamic Selection with Reconstructive Pre-Training IJCAI 2025 Enhancing Multimodal Retrieval via Complementary Information Extraction and Alignment ACL 2025 Enhancing Multimodal Unified Representations for Cross Modal Generalization ACL 2025