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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)

SeqMvRL: A Sequential Fusion Framework for Multi-view Representation Learning CVPR 2025 SeqPO-SiMT: Sequential Policy Optimization for Simultaneous Machine Translation ACL 2025 Sequence Complementor: Complementing Transformers for Time Series Forecasting with Learnable Sequences AAAI 2025 Sequence-level Large Language Model Training with Contrastive Preference Optimization NAACL 2025 Sequential Order Adjustment of Action Decisions for Multi-Agent Transformer (Student Abstract) AAAI 2025 Sequential Preference Optimization: Multi-Dimensional Preference Alignment with Implicit Reward Modeling AAAI 2025 SeRA: Self-Reviewing and Alignment of LLMs using Implicit Reward Margins ICLR 2025 Serial Lifelong Editing via Mixture of Knowledge Experts ACL 2025 Serving the Underserved: Leveraging BARTBahnar Language Model for Bahnaric-Vietnamese Translation NAACL 2025 Severing Spurious Correlations with Data Pruning ICLR 2025 SF2T: Self-supervised Fragment Finetuning of Video-LLMs for Fine-Grained Understanding CVPR 2025 SFDM: Robust Decomposition of Geometry and Reflectance for Realistic Face Rendering from Sparse-view Images CVPR 2025 SFESS: Score Function Estimators for k-Subset Sampling ICLR 2025 SGCD: Subtask-Guided Causal-Debiasing Framework for Robust Cross-Utterance Sentiment Quadruple Extraction in Dialogues EMNLP 2025 SG-FSM: A Self-Guiding Zero-Shot Prompting Paradigm for Multi-Hop Question Answering Based on Finite State Machine NAACL 2025 SGIC: A Self-Guided Iterative Calibration Framework for RAG ACL 2025 SGTC: Semantic-Guided Triplet Co-training for Sparsely Annotated Semi-Supervised Medical Image Segmentation AAAI 2025 Shading Meets Motion: Self-supervised Indoor 3D Reconstruction Via Simultaneous Shape-from-Shading and Structure-from-Motion CVPR 2025 Shadow-Activated Backdoor Attacks on Multimodal Large Language Models ACL 2025 Shadow Removal Refinement via Material-Consistent Shadow Edges WACV 2025 Shallow Preference Signals: Large Language Model Aligns Even Better with Truncated Data? ACL 2025 Shape and Texture: What Influences Reliable Optical Flow Estimation? CVPR 2025 Shaping the Safety Boundaries: Understanding and Defending Against Jailbreaks in Large Language Models ACL 2025 Shapley Consensus Deep Learning for Ensemble Pruning WACV 2025 Shared Path: Unraveling Memorization in Multilingual LLMs through Language Similarities EMNLP 2025