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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)

Stronger Baselines for Retrieval-Augmented Generation with Long-Context Language Models EMNLP 2025 Stronger, Steadier & Superior: Geometric Consistency in Depth VFM Forges Domain Generalized Semantic Segmentation ICCV 2025 StrucText-Eval: Evaluating Large Language Model’s Reasoning Ability in Structure-Rich Text ACL 2025 Structural-Entropy-Based Sample Selection for Efficient and Effective Learning ICLR 2025 Structural Entropy Guided Unsupervised Graph Out-Of-Distribution Detection AAAI 2025 Structural Patent Classification Using Label Hierarchy Optimization EMNLP 2025 Structural Reward Model: Enhancing Interpretability, Efficiency, and Scalability in Reward Modeling EMNLP 2025 Structure-adaptive Adversarial Contrastive Learning for Multi-Domain Fake News Detection ACL 2025 Structure-Adaptive Multi-View Graph Clustering for Remote Sensing Data AAAI 2025 Structure-aware Domain Knowledge Injection for Large Language Models ACL 2025 Structure-aware Semantic Discrepancy and Consistency for 3D Medical Image Self-supervised Learning ICCV 2025 Structure Balance and Gradient Matching-Based Signed Graph Condensation AAAI 2025 Structured Document Translation via Format Reinforcement Learning IJCNLP 2025 Structured Tender Entities Extraction from Complex Tables with Few-short Learning COLING 2025 Structure Modeling Approach for UD Parsing of Historical Modern Japanese ACL 2025 Structure Trumps Size: Rethinking Data Quality for LLM Reasoning EMNLP 2025 StruMamba3D: Exploring Structural Mamba for Self-supervised Point Cloud Representation Learning ICCV 2025 StuD: A Multimodal Approach for Stuttering Detection with RAG and Fusion Strategies IJCNLP 2025 Studying the capabilities of Large Language Models in solving Combinatorics Problems posed in Hindi COLING 2025 Studying the Effect of Hindi Tokenizer Performance on Downstream Tasks COLING 2025 Studying the Representation of the LGBTQ+ Community in RuPaul’s Drag Race with LLM-Based Topic Modeling NAACL 2025 Studying the Role of Input-Neighbor Overlap in Retrieval-Augmented Language Models Training Efficiency EMNLP 2025 “Stupid robot, I want to speak to a human!” User Frustration Detection in Task-Oriented Dialog Systems COLING 2025 StyleDistance: Stronger Content-Independent Style Embeddings with Synthetic Parallel Examples NAACL 2025 StyleKeeper: Prevent Content Leakage using Negative Visual Query Guidance ICCV 2025