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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)

SV-data2vec: Guiding Video Representation Learning with Latent Skeleton Targets WACV 2025 SVRMamba: Slice-to-Volume Reconstruction from Multiple MRI Stacks with Slice Sequence Guided Mamba AAAI 2025 SWEA: Updating Factual Knowledge in Large Language Models via Subject Word Embedding Altering AAAI 2025 Swedish Whispers; Leveraging a Massive Speech Corpus for Swedish Speech Recognition Interspeech 2025 Sweeping Heterogeneity with Smart MoPs: Mixture of Prompts for LLM Task Adaptation AAAI 2025 SWE-Fixer: Training Open-Source LLMs for Effective and Efficient GitHub Issue Resolution ACL 2025 SWIFT: A Scalable Lightweight Infrastructure for Fine-Tuning AAAI 2025 Swift Hydra: Self-Reinforcing Generative Framework for Anomaly Detection with Multiple Mamba Models ICLR 2025 SwiftKV: Fast Prefill-Optimized Inference with Knowledge-Preserving Model Transformation EMNLP 2025 Swiss German Speech Translation and the Curse of Multidialectality ACL 2025 SWITCH: Studying with Teacher for Knowledge Distillation of Large Language Models NAACL 2025 Symbolic Neural Ordinary Differential Equations AAAI 2025 SymDPO: Boosting In-Context Learning of Large Multimodal Models with Symbol Demonstration Direct Preference Optimization CVPR 2025 Symmetrical Visual Contrastive Optimization: Aligning Vision-Language Models with Minimal Contrastive Images ACL 2025 SynAD: Enhancing Real-World End-to-End Autonomous Driving Models through Synthetic Data Integration ICCV 2025 SYNAPSE: SYmbolic Neural-Aided Preference Synthesis Engine AAAI 2025 SYNC: A Synthetic Long-Context Understanding Benchmark for Controlled Comparisons of Model Capabilities EMNLP 2025 Synchronizing Task Behavior: Aligning Multiple Tasks during Test-Time Training ICCV 2025 SyncViolinist: Music-Oriented Violin Motion Generation Based on Bowing and Fingering WACV 2025 SyncVP: Joint Diffusion for Synchronous Multi-Modal Video Prediction CVPR 2025 SynerGen-VL: Towards Synergistic Image Understanding and Generation with Vision Experts and Token Folding CVPR 2025 Synergizing LLMs with Global Label Propagation for Multimodal Fake News Detection ACL 2025 Synergizing Motion and Appearance: Multi-Scale Compensatory Codebooks for Talking Head Video Generation CVPR 2025 Synergizing Unsupervised Episode Detection with LLMs for Large-Scale News Events ACL 2025 SynFix: Dependency-Aware Program Repair via RelationGraph Analysis ACL 2025