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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)

Handling Spatial-Temporal Data Heterogeneity for Federated Continual Learning via Tail Anchor CVPR 2025 Hands-off Image Editing: Language-guided Editing without any Task-specific Labeling, Masking or even Training COLING 2025 HapticCap: A Multimodal Dataset and Task for Understanding User Experience of Vibration Haptic Signals EMNLP 2025 HARBOR: Exploring Persona Dynamics in Multi-Agent Competition IJCNLP 2025 Hard Emotion Test Evaluation Sets for Language Models NAACL 2025 Hard Negatives, Hard Lessons: Revisiting Training Data Quality for Robust Information Retrieval with LLMs EMNLP 2025 Harmful Prompt Laundering: Jailbreaking LLMs with Abductive Styles and Symbolic Encoding EMNLP 2025 Harmonizing Annotation of Turkic Postverbial Constructions: A Comparative Study of UD Treebanks COLING 2025 Harmonizing Diverse Models: A Layer-wise Merging Strategy for Consistent Generation EMNLP 2025 Harmonizing Visual and Textual Embeddings for Zero-Shot Text-to-Image Customization AAAI 2025 Harmonizing Visual Representations for Unified Multimodal Understanding and Generation ICCV 2025 Harnessing Global-Local Collaborative Adversarial Perturbation for Anti-Customization CVPR 2025 Harnessing Language Model for Cross-Heterogeneity Graph Knowledge Transfer AAAI 2025 Harnessing NLP for Indigenous Language Education: Fine-Tuning Large Language Models for Sentence Transformation NAACL 2025 Harnessing PDF Data for Improving Japanese Large Multimodal Models ACL 2025 Harnessing Uncertainty-aware Bounding Boxes for Unsupervised 3D Object Detection ICCV 2025 Harnessing Vision Models for Time Series Analysis: A Survey IJCAI 2025 Harnessing Whisper for Prosodic Stress Analysis ACL 2025 Harry Potter is Still Here! Probing Knowledge Leakage in Targeted Unlearned Large Language Models EMNLP 2025 HASH-RAG: Bridging Deep Hashing with Retriever for Efficient, Fine Retrieval and Augmented Generation ACL 2025 Has Machine Translation Evaluation Achieved Human Parity? The Human Reference and the Limits of Progress ACL 2025 Hate Explained: Evaluating NER-Enriched Text in Human and Machine Moderation of Hate Speech ACL 2025 Hateful Meme Detection through Context-Sensitive Prompting and Fine-Grained Labeling (Student Abstract) AAAI 2025 Hate in Plain Sight: On the Risks of Moderating AI-Generated Hateful Illusions ICCV 2025 HATS : Hindi Analogy Test Set for Evaluating Reasoning in Large Language Models ACL 2025