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Learning Types

56,253 papers (3 classified directly here)

Self-Supervised Learning (8,965) Adversarial Learning (5,204) Unsupervised Learning (4,874) Transfer Learning (4,808) Weakly Supervised Learning (3,938) Contrastive Learning (3,748) Zero-Shot Learning (3,130) Semi-Supervised Learning (3,128) Reinforcement Learning (3,118) Multi-Task Learning (2,556) Evaluation (2,164) Continual Learning (2,107) Active Learning (1,983) Few-Shot Learning (1,840) Deep Learning (1,404) Online Learning (1,360) Multi-Armed Bandits (1,327) Multimodal Learning (1,289) Supervised Learning (986) Multi-Agent Systems (813) Uncertainty Quantification (805) Causal Inference (636) Robustness (576) Retrieval-Augmented Generation (565) Fine-Tuning (490) Ensemble Learning (482) In-Context Learning (439) Multi-Label Classification (430) Imitation Learning (387) Prompt Engineering (270) Multi-Lingual Learning (269) Distribution Shift (264) Reinforcement Learning from Human Feedback (209) Regularization (207) Exploration-Exploitation (203) Generative Models (200) Multi-Objective Optimization (185) Out-of-Distribution Detection (176) Sparse Learning (165) Sampling (150) Preference Learning (136) Offline Reinforcement Learning (130) Multi-Label Learning (128) Markov Decision Process (127) Neural Architecture Search (122) Multi-Instance Learning (121) Multi-View Learning (117) Robust Learning (110) Generative Model (110) Time Series (108) Large Language Models (104) Exploration (103) Hyperparameter Optimization (99) Machine Unlearning (95) Imbalanced Learning (93) Machine Translation (93) Multi-Class Classification (85) Differential Privacy (82) Time Series Analysis (71) Reasoning (70) Calibration (67) Structure Learning (66) Physics-Informed Learning (62) Class Imbalance (58) Model-Based RL (55) Interactive Learning (55) Multi-Domain Learning (47) Inverse Reinforcement Learning (46) Crowdsourcing (40) Off-Policy Learning (38) Label Noise (38) Noisy Label Learning (35) Offline RL (32) Attention (32) Evolutionary Algorithm (32) Decision Making (31) Policy Learning (30) Personalization (28) Low-Resource Learning (26) Collaborative Filtering (25) Self-Training (24) Sequential Modeling (24) Parameter Estimation (23) Survival Analysis (21) Machine Learning (20) Parameter-Efficient Fine-Tuning (20) Synthetic Data Generation (20) Annotation (18) Symbolic Regression (18) AutoML (16) Security (15) Multi-Source Learning (13) Distant Supervision (13) Text Generation (11) Distributional Reinforcement Learning (9) Sentiment Analysis (9) Multi-Hop Reasoning (9) Language Modeling (9) Code Generation (8) Multi-Object Tracking (8) Natural Language Inference (7) Chain-of-Thought (6) Question Answering (5)
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Papers (including subtopics)

Small Models are LLM Knowledge Triggers for Medical Tabular Prediction ICLR 2025 Small Models, Big Results: Achieving Superior Intent Extraction through Decomposition EMNLP 2025 Small Models Struggle to Learn from Strong Reasoners ACL 2025 SmartCLIP: Modular Vision-language Alignment with Identification Guarantees CVPR 2025 SmartPretrain: Model-Agnostic and Dataset-Agnostic Representation Learning for Motion Prediction ICLR 2025 SMART: Scalable Multilingual Approach for a Robust TOD System EMNLP 2025 SMART: Simulated Students Aligned with Item Response Theory for Question Difficulty Prediction EMNLP 2025 SMI-Editor: Edit-based SMILES Language Model with Fragment-level Supervision ICLR 2025 SMILE: Infusing Spatial and Motion Semantics in Masked Video Learning CVPR 2025 SmolLab_SEU at BEA 2025 Shared Task: A Transformer-Based Framework for Multi-Track Pedagogical Evaluation of AI-Powered Tutors ACL 2025 SMoLoRA: Exploring and Defying Dual Catastrophic Forgetting in Continual Visual Instruction Tuning ICCV 2025 SMOL: Professionally Translated Parallel Data for 115 Under-represented Languages EMNLP 2025 Smoothing the Shift: Towards Stable Test-Time Adaptation under Complex Multimodal Noises ICLR 2025 Smoothness Really Matters: A Simple Yet Effective Approach for Unsupervised Graph Domain Adaptation AAAI 2025 SMP-Attack: Boosting the Transferability of Feature Importance-based Adversarial Attack with Semantics-aware Multi-granularity Patchout ICCV 2025 SmurfCat at SHROOM-CAP: Factual but Awkward? Fluent but Wrong? Tackling Both in LLM Scientific QA AACL 2025 SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph AISTATS 2025 SNaRe: Domain-aware Data Generation for Low-Resource Event Detection EMNLP 2025 SnowMaster: Comprehensive Real-world Image Desnowing via MLLM with Multi-Model Feedback Optimization CVPR 2025 SocialEval: Evaluating Social Intelligence of Large Language Models ACL 2025 SocialGesture: Delving into Multi-person Gesture Understanding CVPR 2025 Social Hatred: Efficient Multimodal Detection of Hatemongers ACL 2025 Social Recommendation via Graph-Level Counterfactual Augmentation AAAI 2025 SOCIAL SCAFFOLDS: A Generalization Framework for Social Understanding Tasks EMNLP 2025 SocioBench: Modeling Human Behavior in Sociological Surveys with Large Language Models EMNLP 2025