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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)

Unsupervised Cellular Anomaly Detection in Toxicological Histopathology MIDL 2025 Unsupervised Concept Vector Extraction for Bias Control in LLMs EMNLP 2025 Unsupervised Continual Domain Shift Learning with Multi-Prototype Modeling CVPR 2025 Unsupervised Degradation Representation Aware Transform for Real-World Blind Image Super-Resolution AAAI 2025 Unsupervised Hallucination Detection by Inspecting Reasoning Processes EMNLP 2025 Unsupervised Identification of Protein Compositions and Conformations via Implicit Content-Transformation Disentanglement ICCV 2025 Unsupervised Joint Learning of Optical Flow and Intensity with Event Cameras ICCV 2025 Unsupervised Morphological Tree Tokenizer ACL 2025 Unsupervised Part Discovery via Descriptor-Based Masked Image Restoration with Optimized Constraints ICCV 2025 Unsupervised RGB-D Point Cloud Registration for Scenes with Low Overlap and Photometric Inconsistency ICCV 2025 Unsupervised Sentence Readability Estimation Based on Parallel Corpora for Text Simplification ACL 2025 Unsupervised Sentence Representation Learning with Syntactically Aligned Negative Samples NAACL 2025 Unsupervised Single-Image Intrinsic Image Decomposition with LiDAR Intensity Enhanced Training WACV 2025 Unsupervised Translation of Emergent Communication AAAI 2025 Unsupervised Video Highlight Detection by Learning from Audio and Visual Recurrence WACV 2025 Unsupervised Visible-Infrared Person Re-identification under Unpaired Settings ICCV 2025 UNSURE: self-supervised learning with Unknown Noise level and Stein's Unbiased Risk Estimate ICLR 2025 Untie the Knots: An Efficient Data Augmentation Strategy for Long-Context Pre-Training in Language Models ACL 2025 Unveiling Audio Deepfake Origins: A Deep Metric learning And Conformer Network Approach With Ensemble Fusion Interspeech 2025 Unveiling Multi-View Anomaly Detection: Intra-view Decoupling and Inter-view Fusion AAAI 2025 Unveiling Privacy Risks in Multi-modal Large Language Models: Task-specific Vulnerabilities and Mitigation Challenges ACL 2025 Unveiling the Ignorance of MLLMs: Seeing Clearly, Answering Incorrectly CVPR 2025 Unveiling the Impact of Coding Data Instruction Fine-Tuning on Large Language Models Reasoning AAAI 2025 Unveiling the Potential of BERT-family: A New Recipe for Building Scalable, General and Competitive Large Language Models ACL 2025 Unveiling the Power of Source: Source-based Minimum Bayes Risk Decoding for Neural Machine Translation ACL 2025