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Learning Types

32,670 papers (1 classified directly here)

Representation Learning (5,307) Multimodal Learning (3,969) Self-Supervised Learning (3,492) Transfer Learning (2,890) Adversarial Learning (2,199) Deep Learning (1,883) Contrastive Learning (1,730) Reinforcement Learning (1,500) Knowledge Distillation (1,494) Fine-Tuning (1,117) Multi-Task Learning (1,069) Domain Adaptation (977) Zero-Shot Learning (758) Unsupervised Learning (734) Few-Shot Learning (694) Classification (621) Retrieval-Augmented Generation (606) Data Augmentation (583) Semi-Supervised Learning (450) Weakly Supervised Learning (429) Continual Learning (408) In-Context Learning (387) Sequence Modeling (375) Meta-Learning (252) Metric Learning (232) Ensemble Learning (223) Federated Learning (215) Multi-Lingual Learning (199) Robustness (197) Parameter-Efficient Fine-Tuning (190) Imitation Learning (180) Prompt Engineering (170) Chain-of-Thought Reasoning (153) Curriculum Learning (146) Synthetic Data Generation (143) Reinforcement Learning from Human Feedback (141) Multi-Label Classification (123) Regression (117) Generative Model (109) Semantic Segmentation (106) Domain Generalization (105) Uncertainty Quantification (98) Controllable Generation (93) Text Generation (86) Neural Architecture Search (80) Object Detection (80) Image Generation (79) Multi-Agent Systems (76) Feature Learning (74) Preference Learning (73) Machine Translation (71) Out-of-Distribution Detection (68) Machine Unlearning (63) Generation (61) Reasoning (54) Multi-View Learning (53) Time Series (52) Instruction Tuning (50) Distributed Learning (50) Image Restoration (49) Chain-of-Thought (48) Active Learning (47) Text Classification (43) Distribution Shift (43) Structured Prediction (42) Clustering (41) Image Classification (40) Model Merging (37) Sparse Learning (36) Sequence Labeling (36) Multi-Instance Learning (35) Anomaly Detection (33) Image Processing (33) Code Generation (31) Fairness (30) Robust Learning (28) Multi-Domain Learning (27) Supervised Learning (26) Model-Based RL (25) Natural Language Generation (24) Privacy (21) Multi-Objective Optimization (19) Multi-Scale Learning (19) Neural Machine Translation (18) Causal Inference (14) Instance Segmentation (9) Interactive Learning (9) Multi-Label Learning (9) Multi-Source Learning (9) Multi-Class Classification (8)
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Papers (including subtopics)

Enhancing Input-Label Mapping in In-Context Learning with Contrastive Decoding ACL 2025 Enhancing Large Language Model for Knowledge Graph Completion via Structure-Aware Alignment-Tuning EMNLP 2025 Enhancing Large Vision-Language Models with Ultra-Detailed Image Caption Generation EMNLP 2025 Enhancing Learning with Label Differential Privacy by Vector Approximation ICLR 2025 Enhancing LLM-Based Social Bot via an Adversarial Learning Framework EMNLP 2025 Enhancing LLM Language Adaption through Cross-lingual In-Context Pre-training EMNLP 2025 Enhancing LLMs via High-Knowledge Data Selection AAAI 2025 Enhancing Long-and Short-Term Representations for Next POI Recommendations via Frequency and Hierarchical Contrastive Learning AAAI 2025 Enhancing Lyrics Transcription on Music Mixtures with Consistency Loss Interspeech 2025 Enhancing Mathematical Reasoning in LLMs by Stepwise Correction ACL 2025 Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks WACV 2025 Enhancing Multimodal Continual Instruction Tuning with BranchLoRA ACL 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 Enhancing Multivariate Time-Series Domain Adaptation via Contrastive Frequency Graph Discovery and Language-Guided Adversary Alignment AAAI 2025 Enhancing Neural Machine Translation Through Target Language Data: A kNN-LM Approach for Domain Adaptation ACL 2025 Enhancing NLU in Large Language Models Using Adversarial Noisy Instruction Tuning AAAI 2025 Enhancing Noise-Robust Losses for Large-Scale Noisy Data Learning AAAI 2025 Enhancing Non-English Capabilities of English-Centric Large Language Models Through Deep Supervision Fine-Tuning AAAI 2025 Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization CVPR 2025 Enhancing Partially Relevant Video Retrieval with Hyperbolic Learning ICCV 2025 Enhancing Persona Consistency for LLMs’ Role-Playing using Persona-Aware Contrastive Learning ACL 2025 Enhancing Post-Treatment Visual Acuity Prediction with Multimodal Deep Learning on Small-scale Clinical and OCT Datasets MIDL 2025 Enhancing Predictive Healthcare Using AI-Driven Early Warning Systems AAAI 2025