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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)

Direct Repair Optimization: Training Small Language Models For Educational Program Repair Improves Feedback ACL 2025 Direct Routing Gradient (DRGrad): A Personalized Information Surgery for Multi-Task Learning (MTL) Recommendations AAAI 2025 Dis²Booth: Learning Image Distribution with Disentangled Features for Text-to-Image Diffusion Models AAAI 2025 Disagreement in Metaphor Annotation of Mexican Spanish Science Tweets COLING 2025 Disambiguation in Conversational Question Answering in the Era of LLMs and Agents: A Survey EMNLP 2025 DisastIR: A Comprehensive Information Retrieval Benchmark for Disaster Management EMNLP 2025 Discarding the Crutches: Adaptive Parameter-Efficient Expert Meta-Learning for Continual Semantic Parsing COLING 2025 DISCO Balances the Scales: Adaptive Domain- and Difficulty-Aware Reinforcement Learning on Imbalanced Data EMNLP 2025 DisCo: Discovering Common Affordance from Large Models for Actionable Part Perception WACV 2025 DisCo-DSO: Coupling Discrete and Continuous Optimization for Efficient Generative Design in Hybrid Spaces AAAI 2025 DisCo: Graph-Based Disentangled Contrastive Learning for Cold-Start Cross-Domain Recommendation AAAI 2025 DisCoPatch: Taming Adversarially-driven Batch Statistics for Improved Out-of-Distribution Detection ICCV 2025 Discovering Clone Negatives via Adaptive Contrastive Learning for Image-Text Matching ICLR 2025 Discovering Global False Negatives On the Fly for Self-supervised Contrastive Learning ICML 2025 Discovering Symmetries of ODEs by Symbolic Regression AAAI 2025 DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval CVPR 2025 Discrepancy Detection at the Data Level: Toward Consistent Multilingual Question Answering EMNLP 2025 Discriminative ordering through ensemble consensus UAI 2025 Discriminator-Guided Embodied Planning for LLM Agent ICLR 2025 DisCuT and DiscReT: MELODI at DISRPT 2025 Multilingual discourse segmentation, connective tagging and relation classification EMNLP 2025 DisenQ: Disentangling Q-Former for Activity-Biometrics ICCV 2025 Disentangled and Personalized Representation Learning for Next Point-of-Interest Recommendation IJCAI 2025 Disentangled Contrastive Bundle Recommendation with Conditional Diffusion AAAI 2025 Disentangled Information Bottleneck for Adversarial Text Defense EMNLP 2025 Disentangled Modeling of Preferences and Social Influence for Group Recommendation AAAI 2025