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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)

Multi-Modal Recommendation Unlearning for Legal, Licensing, and Modality Constraints AAAI 2025 Multimodal Retrieval-Augmented Generation: Unified Information Processing Across Text, Image, Table, and Video Modalities ACL 2025 Multimodal Speech, Language and Orofacial Analysis for Remote Assessment of Positive, Negative and Cognitive Symptoms in Schizophrenia Interspeech 2025 Multi-Modal Synergistic Implicit Image Enhancement for Efficient Optical Flow Estimation CVPR 2025 Multimodal Transformers are Hierarchical Modal-wise Heterogeneous Graphs ACL 2025 Multi-modal Vision Pre-training for Medical Image Analysis CVPR 2025 Multi-Objective Neural Bandits with Random Scalarization IJCAI 2025 Multi-Pair Temporal Sentence Grounding via Multi-Thread Knowledge Transfer Network AAAI 2025 Multi-perspective Alignment for Increasing Naturalness in Neural Machine Translation ACL 2025 Multiple Feature Refining Network for Visual Emotion Distribution Learning AAAI 2025 Multiple Purchase Chains with Negative Transfer Elimination for Multi-Behavior Recommendation AAAI 2025 Multiplex Graph Representation Learning with Homophily and Consistency AAAI 2025 Multi-Prompting Decoder Helps Better Language Understanding ACL 2025 MultiReflect: Multimodal Self-Reflective RAG-based Automated Fact-Checking ACL 2025 Multi-Resolution Guided 3D GANs for Medical Image Translation WACV 2025 Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation CVPR 2025 Multi-scale Activation, Refinement, and Aggregation: Exploring Diverse Cues for Fine-Grained Bird Recognition AAAI 2025 Multi-Scale Contrastive Learning for Video Temporal Grounding AAAI 2025 Multi-Scale Grouped Prototypes for Interpretable Semantic Segmentation WACV 2025 Multi-Scale Neighborhood Occupancy Masked Autoencoder for Self-Supervised Learning in LiDAR Point Clouds CVPR 2025 MultiSFL: Towards Accurate Split Federated Learning via Multi-Model Aggregation and Knowledge Replay AAAI 2025 MultiSocial: Multilingual Benchmark of Machine-Generated Text Detection of Social-Media Texts ACL 2025 Multispectral Pedestrian Detection with Sparsely Annotated Label AAAI 2025 Multistage Universal Speech Enhancement System for URGENT Challenge Interspeech 2025 Multi-subject Open-set Personalization in Video Generation CVPR 2025