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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)

Semantic and Expressive Variations in Image Captions Across Languages CVPR 2025 Semantic and Sequential Alignment for Referring Video Object Segmentation CVPR 2025 Semantic-Aware Interpretable Multimodal Music Auto-Tagging Interspeech 2025 SemanticCuetSync@DravidianLangTech 2025: Multimodal Fusion for Hate Speech Detection - A Transformer Based Approach with Cross-Modal Attention NAACL 2025 Semantic Exploration with Adaptive Gating for Efficient Problem Solving with Language Models ACL 2025 Semantic-guided Camera Ray Regression for Visual Localization ICCV 2025 Semantic-guided Cross-Modal Prompt Learning for Skeleton-based Zero-shot Action Recognition CVPR 2025 Semantic Segmentation on Raindrop Degraded Images Using Two-Stage Dual Teacher-Student Learning AAAI 2025 Semantic Shift Estimation via Dual-Projection and Classifier Reconstruction for Exemplar-Free Class-Incremental Learning ICML 2025 SemCSE: Semantic Contrastive Sentence Embeddings Using LLM-Generated Summaries For Scientific Abstracts EMNLP 2025 SemEval-2025 Task 3: Mu-SHROOM, the Multilingual Shared-task on Hallucinations and Related Observable Overgeneration Mistakes SemEval 2025 SemEval-2025 Task 5: LLMs4Subjects - LLM-based Automated Subject Tagging for a National Technical Library’s Open-Access Catalog SemEval 2025 SemEval-2025 Task 9: The Food Hazard Detection Challenge SemEval 2025 SemiDAViL: Semi-supervised Domain Adaptation with Vision-Language Guidance for Semantic Segmentation CVPR 2025 Semi-Supervised Learning for Automatic Speech Recognition with Word Error Rate Estimation and Targeted Domain Data Selection Interspeech 2025 Semi-Supervised Multimodal Classification Through Learning from Modal and Strategic Complementarities AAAI 2025 Semi-Supervised Multi-View Multi-Label Learning with View-Specific Transformer and Enhanced Pseudo-Label AAAI 2025 Semi-Supervised Skin Lesion Segmentation under Dual Mask Ensemble with Feature Discrepancy Co-Training MIDL 2025 Semi-Supervised Vision-Centric 3D Occupancy World Model for Autonomous Driving ICLR 2025 SemiVisBooster: Boosting Semi-Supervised Learning for Fine-Grained Classification through Pseudo-Label Semantic Guidance ICCV 2025 SemlaFlow – Efficient 3D Molecular Generation with Latent Attention and Equivariant Flow Matching AISTATS 2025 SemTalk: Holistic Co-speech Motion Generation with Frame-level Semantic Emphasis ICCV 2025 SemVink: Advancing VLMs’ Semantic Understanding of Optical Illusions via Visual Global Thinking EMNLP 2025 Sensitivity-Aware Efficient Fine-Tuning via Compact Dynamic-Rank Adaptation CVPR 2025 Sentimental Image Generation for Aspect-based Sentiment Analysis ACL 2025