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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)

DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world Environments EMNLP 2025 DeepShade: Enable Shade Simulation by Text-conditioned Image Generation IJCAI 2025 DeepShield: Fortifying Deepfake Video Detection with Local and Global Forgery Analysis ICCV 2025 DeepSN: A Sheaf Neural Framework for Influence Maximization AAAI 2025 DEEPTalk: Dynamic Emotion Embedding for Probabilistic Speech-Driven 3D Face Animation AAAI 2025 Deep-Union Completion AAAI 2025 Deep Unsupervised Hashing via External Guidance ICML 2025 Deep Variational Multivariate Information Bottleneck - A Framework for Variational Losses JMLR 2025 Defending Against Repetitive Backdoor Attacks on Semi-Supervised Learning through Lens of Rate-Distortion-Perception Trade-Off WACV 2025 Defending Against Sophisticated Poisoning Attacks with RL-based Aggregation in Federated Learning AAAI 2025 Defending Large Language Models against Jailbreak Attacks via Semantic Smoothing IJCNLP 2025 Defense Against Model Stealing Based on Account-Aware Distribution Discrepancy AAAI 2025 Defense Against Prompt Injection Attack by Leveraging Attack Techniques ACL 2025 DeFine: Decision-Making with Analogical Reasoning over Factor Profiles ACL 2025 Defining and Quantifying Visual Hallucinations in Vision-Language Models NAACL 2025 Definition Generation for Word Meaning Modeling: Monolingual, Multilingual, and Cross-Lingual Perspectives EMNLP 2025 DeFSS: Image-to-Mask Denoising Learning for Few-shot Segmentation ICCV 2025 DeGauss: Dynamic-Static Decomposition with Gaussian Splatting for Distractor-free 3D Reconstruction ICCV 2025 Dehaze-RetinexGAN: Real-World Image Dehazing via Retinex-based Generative Adversarial Network AAAI 2025 Déjà Vu? Decoding Repeated Reading from Eye Movements ACL 2025 Delay as Payoff in MAB AAAI 2025 Deliberate Reasoning in Language Models as Structure-Aware Planning with an Accurate World Model ACL 2025 DELIFT: Data Efficient Language model Instruction Fine-Tuning ICLR 2025 Deloitte (Drocks) at the Financial Misinformation Detection Challenge Task: Enhancing Misinformation Detection through Instruction-Tuned Models COLING 2025 Delta-KNN: Improving Demonstration Selection in In-Context Learning for Alzheimer’s Disease Detection ACL 2025