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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)

Beyond Clean Training Data: A Versatile and Model-Agnostic Framework for Out-of-Distribution Detection with Contaminated Training Data CVPR 2025 Beyond [cls]: Exploring the True Potential of Masked Image Modeling Representations ICCV 2025 Beyond cognacy ACL 2025 Beyond Completion: A Foundation Model for General Knowledge Graph Reasoning ACL 2025 Beyond Confidence: Exploiting Homogeneous Pattern for Semi-Supervised Semantic Segmentation ICML 2025 Beyond Context to Cognitive Appraisal: Emotion Reasoning as a Theory of Mind Benchmark for Large Language Models ACL 2025 Beyond Contrastive Learning: Synthetic Data Enables List-wise Training with Multiple Levels of Relevance EMNLP 2025 Beyond Conventional Metrics: using Entropic Triangles to Explain Balancing Methods in Acoustic Scene Classification Interspeech 2025 Beyond Correctness: Confidence-Aware Reward Modeling for Enhancing Large Language Model Reasoning EMNLP 2025 Beyond Data Quantity: Key Factors Driving Performance in Multilingual Language Models COLING 2025 Beyond Demographics: Enhancing Cultural Value Survey Simulation with Multi-Stage Personality-Driven Cognitive Reasoning EMNLP 2025 Beyond Demonstrations: Dynamic Vector Construction from Latent Representations EMNLP 2025 Beyond English: The Impact of Prompt Translation Strategies across Languages and Tasks in Multilingual LLMs NAACL 2025 Beyond Facts: Evaluating Intent Hallucination in Large Language Models ACL 2025 Beyond Feature Mapping GAP: Integrating Real HDRTV Priors for Superior SDRTV-to-HDRTV Conversion IJCAI 2025 Beyond Federated Prototype Learning: Learnable Semantic Anchors with Hyperspherical Contrast for Domain-Skewed Data AAAI 2025 Beyond Function-Level Search: Repository-Aware Dual-Encoder Code Retrieval with Adversarial Verification EMNLP 2025 Beyond Generalization :Evaluating Multilingual LLMs for Yorùbá Animal Health Translation ACL 2025 Beyond Homophily: Graph Contrastive Learning with Macro-Micro Message Passing AAAI 2025 Beyond Human Labels: A Multi-Linguistic Auto-Generated Benchmark for Evaluating Large Language Models on Resume Parsing EMNLP 2025 Beyond IID: Optimizing Instruction Finetuning from the Perspective of Instruction Interaction and Dependency AAAI 2025 Beyond Image Classification: A Video Benchmark and Dual-Branch Hybrid Discrimination Framework for Compositional Zero-Shot Learning CVPR 2025 Beyond Induction Heads: In-Context Meta Learning Induces Multi-Phase Circuit Emergence ICML 2025 Beyond Inherent Cognition Biases in LLM-Based Event Forecasting: A Multi-Cognition Agentic Framework EMNLP 2025 Beyond instruction-conditioning, MoTE: Mixture of Task Experts for Multi-task Embedding Models ACL 2025