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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)

RDPA: Real-Time Distributed-Concentrated Penetration Attack for Point Cloud Learning IJCAI 2025 RDPI: A Refine Diffusion Probability Generation Method for Spatiotemporal Data Imputation AAAI 2025 Re3Syn: A Dependency-Based Data Synthesis Framework for Long-Context Post-training ACL 2025 ReachAgent: Enhancing Mobile Agent via Page Reaching and Operation NAACL 2025 ReactGPT: Understanding of Chemical Reactions via In-Context Tuning AAAI 2025 ReAct Meets Industrial IoT: Language Agents for Data Access EMNLP 2025 Readability Reconsidered A Cross-Dataset Analysis of Reference-Free Metrics EMNLP 2025 Read Before Grounding: Scene Knowledge Visual Grounding via Multi-step Parsing COLING 2025 ReadCtrl: Personalizing text generation with readability-controlled instruction learning NAACL 2025 Reading Between the Lines: A dataset and a study on why some texts are tougher than others COLING 2025 Reading Your Heart: Learning ECG Words and Sentences via Pre-training ECG Language Model ICLR 2025 Read it in Two Steps: Translating Extremely Low-Resource Languages with Code-Augmented Grammar Books ACL 2025 Ready for You When You Are Back: Content-Driven Session-Based Recommendation for Continuity of Experience AAAI 2025 Read Your Own Mind: Reasoning Helps Surface Self-Confidence Signals in LLMs EMNLP 2025 Real3D: Towards Scaling Large Reconstruction Models with Real Images ICCV 2025 Real, Fake, or Manipulated? Detecting Machine-Influenced Text EMNLP 2025 RealHiTBench: A Comprehensive Realistic Hierarchical Table Benchmark for Evaluating LLM-Based Table Analysis ACL 2025 ReAL: How Can LLMs Simulate the Real Teacher? Retrieval-enhanced Agent for Adaptive Learning EMNLP 2025 Re-Align: Aligning Vision Language Models via Retrieval-Augmented Direct Preference Optimization EMNLP 2025 Realistic Evaluation of Deep Partial-Label Learning Algorithms ICLR 2025 Realistic Training Data Generation and Rule Enhanced Decoding in LLM for NameGuess EMNLP 2025 REAL-MM-RAG: A Real-World Multi-Modal Retrieval Benchmark ACL 2025 REALM: Recursive Relevance Modeling for LLM-based Document Re-Ranking EMNLP 2025 Real-time Ad Retrieval via LLM-generative Commercial Intention for Sponsored Search Advertising EMNLP 2025 Real-time Factuality Assessment from Adversarial Feedback ACL 2025