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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)

Drafting and Revision: Advancing High-Fidelity Video Inpainting IJCAI 2025 DrAgent: Empowering Large Language Models as Medical Agents for Multi-hop Medical Reasoning EMNLP 2025 DRAMA: Diverse Augmentation from Large Language Models to Smaller Dense Retrievers ACL 2025 Drawing Informative Gradients from Sources: A One-stage Transfer Learning Framework for Cross-city Spatiotemporal Forecasting AAAI 2025 DreamActor-M1: Holistic, Expressive and Robust Human Image Animation with Hybrid Guidance ICCV 2025 DreamBlend: Advancing Personalized Fine-Tuning of Text-to-Image Diffusion Models WACV 2025 DREAM: Decoupled Discriminative Learning with Bigraph-aware Alignment for Semi-supervised 2D-3D Cross-modal Retrieval AAAI 2025 DreamDistribution: Learning Prompt Distribution for Diverse In-distribution Generation ICLR 2025 DreamSync: Aligning Text-to-Image Generation with Image Understanding Feedback NAACL 2025 DreamTrack: Dreaming the Future for Multimodal Visual Object Tracking CVPR 2025 Dreamweaver: Learning Compositional World Models from Pixels ICLR 2025 DReSD: Dense Retrieval for Speculative Decoding ACL 2025 DrFrattn: Directly Learn Adaptive Policy from Attention for Simultaneous Machine Translation EMNLP 2025 Drift: Decoding-time Personalized Alignments with Implicit User Preferences EMNLP 2025 Drivel-ology: Challenging LLMs with Interpreting Nonsense with Depth EMNLP 2025 DriveX: Omni Scene Modeling for Learning Generalizable World Knowledge in Autonomous Driving ICCV 2025 Driving Chinese Spelling Correction from a Fine-Grained Perspective COLING 2025 DrivingGPT: Unifying Driving World Modeling and Planning with Multi-modal Autoregressive Transformers ICCV 2025 DRL: Decomposed Representation Learning for Tabular Anomaly Detection ICLR 2025 Droid: A Resource Suite for AI-Generated Code Detection EMNLP 2025 DRoP: Distributionally Robust Data Pruning ICLR 2025 Drop Dropout on Single Epoch Language Model Pretraining ACL 2025 DRPruning: Efficient Large Language Model Pruning through Distributionally Robust Optimization ACL 2025 DRS: Deep Question Reformulation With Structured Output ACL 2025 Dr. Tongue: Sign-Oriented Multi-label Detection for Remote Tongue Diagnosis AAAI 2025