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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)

SDDiff: Boosting Radar Perception via Spatial-Doppler Diffusion IJCAI 2025 SDD: Self-Degraded Defense against Malicious Fine-tuning ACL 2025 SDGO: Self-Discrimination-Guided Optimization for Consistent Safety in Large Language Models EMNLP 2025 SD-LoRA: Scalable Decoupled Low-Rank Adaptation for Class Incremental Learning ICLR 2025 sDPO: Don’t Use Your Data All at Once COLING 2025 SEAD: Unsupervised Ensemble of Streaming Anomaly Detectors ICML 2025 SeaExam and SeaBench: Benchmarking LLMs with Local Multilingual Questions in Southeast Asia NAACL 2025 SEA-HELM: Southeast Asian Holistic Evaluation of Language Models ACL 2025 SEAL: Safety-enhanced Aligned LLM Fine-tuning via Bilevel Data Selection ICLR 2025 SEAL: Semantic Attention Learning for Long Video Representation CVPR 2025 SEAL: Structure and Element Aware Learning Improves Long Structured Document Retrieval EMNLP 2025 Seal Your Backdoor with Variational Defense ICCV 2025 Seamlessly Integrating Tree-Based Positional Embeddings into Transformer Models for Source Code Representation ACL 2025 SEARA: An Automated Approach for Obtaining Optimal Retrievers EMNLP 2025 Search-in-Context: Efficient Multi-Hop QA over Long Contexts via Monte Carlo Tree Search with Dynamic KV Retrieval ACL 2025 Search-o1: Agentic Search-Enhanced Large Reasoning Models EMNLP 2025 Search Query Embeddings via User-behavior-driven Contrastive Learning NAACL 2025 Search Strategy Generation for Branch and Bound Using Genetic Programming AAAI 2025 Search Wisely: Mitigating Sub-optimal Agentic Searches By Reducing Uncertainty EMNLP 2025 SeaS: Few-shot Industrial Anomaly Image Generation with Separation and Sharing Fine-tuning ICCV 2025 SEAS: Self-Evolving Adversarial Safety Optimization for Large Language Models AAAI 2025 SEA: Supervised Embedding Alignment for Token-Level Visual-Textual Integration in MLLMs EMNLP 2025 SEBRA : Debiasing through Self-Guided Bias Ranking ICLR 2025 Second Language (Arabic) Acquisition of LLMs via Progressive Vocabulary Expansion ACL 2025 Second Order Bounds for Contextual Bandits with Function Approximation ICLR 2025