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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)

Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation ICCV 2025 Skeletons Matter: Dynamic Data Augmentation for Text-to-Query EMNLP 2025 SketchAgent: Generating Structured Diagrams from Hand-Drawn Sketches IJCAI 2025 Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch CVPR 2025 Sketch-of-Thought: Efficient LLM Reasoning with Adaptive Cognitive-Inspired Sketching EMNLP 2025 SkillAggregation: Reference-free LLM-Dependent Aggregation ACL 2025 SkillMimic: Learning Basketball Interaction Skills from Demonstrations CVPR 2025 SkillTree: Explainable Skill-Based Deep Reinforcement Learning for Long-Horizon Control Tasks AAAI 2025 Skip the Equations: Learning Behavior of Personalized Dynamical Systems Directly From Data ICML 2025 Skip-Thinking: Chunk-wise Chain-of-Thought Distillation Enable Smaller Language Models to Reason Better and Faster EMNLP 2025 Skip Tuning: Pre-trained Vision-Language Models are Effective and Efficient Adapters Themselves CVPR 2025 SkySense-O: Towards Open-World Remote Sensing Interpretation with Vision-Centric Visual-Language Modeling CVPR 2025 SlackAgents: Scalable Collaboration of AI Agents in Workspaces EMNLP 2025 SLADE: Shielding against Dual Exploits in Large Vision-Language Models CVPR 2025 SLAM-Omni: Timbre-Controllable Voice Interaction System with Single-Stage Training ACL 2025 SLASH: Self-Supervised Speech Pitch Estimation Leveraging DSP-derived Absolute Pitch Interspeech 2025 Sliced Wasserstein Bridge for Open-Vocabulary Video Instance Segmentation ICCV 2025 Sliding Windows Are Not the End: Exploring Full Ranking with Long-Context Large Language Models ACL 2025 SLOT: Structuring the Output of Large Language Models EMNLP 2025 Small Language Model Makes an Effective Long Text Extractor AAAI 2025 SmartEraser: Remove Anything from Images using Masked-Region Guidance CVPR 2025 SMARTMOS: Modeling Subjective Audio Quality Evaluation for Real-Time Applications Interspeech 2025 SMART-PC: Skeletal Model Adaptation for Robust Test-Time Training in Point Clouds ICML 2025 Smart-Searcher: Incentivizing the Dynamic Knowledge Acquisition of LLMs via Reinforcement Learning EMNLP 2025 SMDAF: A Scalable Sidewalk Material Data Acquisition Framework with Bidirectional Cross-Modal Knowledge Distillation WACV 2025