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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)

Steering off Course: Reliability Challenges in Steering Language Models ACL 2025 Steinmetz Neural Networks for Complex-Valued Data AISTATS 2025 STEP-DETR: Advancing DETR-based Semi-Supervised Object Detection with Super Teacher and Pseudo-Label Guided Text Queries ICCV 2025 StepER: Step-wise Knowledge Distillation for Enhancing Reasoning Ability in Multi-Step Retrieval-Augmented Language Models EMNLP 2025 Stepwise Reasoning Disruption Attack of LLMs ACL 2025 ST-FiT: Inductive Spatial-Temporal Forecasting with Limited Training Data AAAI 2025 STiL: Semi-supervised Tabular-Image Learning for Comprehensive Task-Relevant Information Exploration in Multimodal Classification CVPR 2025 STINR: Deciphering Spatial Transcriptomics via Implicit Neural Representation CVPR 2025 Stitch, Contrast, and Segment: Learning a Human Action Segmentation Model Using Trimmed Skeleton Videos AAAI 2025 STLight: A Fully Convolutional Approach for Efficient Predictive Learning by Spatio-Temporal Joint Processing WACV 2025 STNAGNN: Data-driven Spatio-temporal Brain Connectivity beyond FC MIDL 2025 Stochastic Embeddings : A Probabilistic and Geometric Analysis of Out-of-Distribution Behavior UAI 2025 StolenLoRA: Exploring LoRA Extraction Attacks via Synthetic Data ICCV 2025 STOP: Integrated Spatial-Temporal Dynamic Prompting for Video Understanding CVPR 2025 Story Generation with Large Language Models for African Languages ACL 2025 Storynizor: Consistent Story Generation via Inter-Frame Synchronized and Shuffled ID Injection AAAI 2025 STPro: Spatial and Temporal Progressive Learning for Weakly Supervised Spatio-Temporal Grounding CVPR 2025 Strategy-Architecture Synergy: A Multi-View Graph Contrastive Paradigm for Consistent Representations IJCAI 2025 Stratified Domain Adaptation: A Progressive Self-Training Approach for Scene Text Recognition WACV 2025 Stream Aligner: Efficient Sentence-Level Alignment via Distribution Induction AAAI 2025 STREAQ: Selective Tiered Routing for Effective and Affordable Contact Center Quality Assurance EMNLP 2025 Stress-testing Machine Generated Text Detection: Shifting Language Models Writing Style to Fool Detectors ACL 2025 Stress-Testing Multimodal Foundation Models for Crystallographic Reasoning ACL 2025 STRiDE: STate-space Riemannian Diffusion for Equivariant Planning L4DC 2025 Strong Empowered and Aligned Weak Mastered Annotation for Weak-to-Strong Generalization AAAI 2025