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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 Chemical Reaction and Retrosynthesis Prediction with Large Language Model and Dual-task Learning IJCAI 2025 Enhancing Chinese Offensive Language Detection with Homophonic Perturbation EMNLP 2025 Enhancing Contrastive Learning Inspired by the Philosophy of “The Blind Men and the Elephant” AAAI 2025 Enhancing Coreference Resolution with LLM-driven Data Augmentation and Adversarial Filtering IJCNLP 2025 Enhancing Creative Generation on Stable Diffusion-based Models CVPR 2025 Enhancing Cross-Language Code Translation via Task-Specific Embedding Alignment in Retrieval-Augmented Generation NAACL 2025 Enhancing Cross-Lingual Transfer through Reversible Transliteration: A Huffman-Based Approach for Low-Resource Languages ACL 2025 Enhancing Dance-to-Music Generation via Negative Conditioning Latent Diffusion Model CVPR 2025 Enhancing Decision-Making for LLM Agents via Step-Level Q-Value Models AAAI 2025 Enhancing Depression Detection via Question-wise Modality Fusion NAACL 2025 Enhancing Detection of Relationship Abuse in Text with Multi-task Learning (Student Abstract) AAAI 2025 Enhancing Dialectal Arabic Intent Detection through Cross-Dialect Multilingual Input Augmentation COLING 2025 Enhancing Discourse Parsing for Local Structures from Social Media with LLM-Generated Data COLING 2025 Enhancing Discriminative Representation in Similar Relation Clusters for Few-Shot Continual Relation Extraction NAACL 2025 Enhancing Domain-Specific Encoder Models with LLM-Generated Data: How to Leverage Ontologies, and How to Do Without Them EMNLP 2025 Enhancing Embodied Object Detection with Spatial Feature Memory WACV 2025 Enhancing End-to-End Autonomous Driving with Latent World Model ICLR 2025 Enhancing Few-Shot Class-Incremental Learning via Training-Free Bi-Level Modality Calibration CVPR 2025 Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features ICCV 2025 Enhancing Fine-Grained Vision-Language Pretraining with Negative Augmented Samples AAAI 2025 Enhancing Foundation Models in Transaction Understanding with LLM-based Sentence Embeddings EMNLP 2025 Enhancing Future Link Prediction in Quantum Computing Semantic Networks through LLM-Initiated Node Features COLING 2025 Enhancing Generalizability in Molecular Conformation Generation with METRIZATION-Informed Geometric Diffusion Pretraining AAAI 2025 Enhancing Generalizability via Utilization of Unlabeled Data for Occupancy Perception AAAI 2025 Enhancing Generalized Few-Shot Semantic Segmentation via Effective Knowledge Transfer AAAI 2025