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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)

DistaLs: a Comprehensive Collection of Language Distance Measures EMNLP 2025 DISTIL: Data-Free Inversion of Suspicious Trojan Inputs via Latent Diffusion ICCV 2025 Distillation versus Contrastive Learning: How to Train Your Rerankers IJCNLP 2025 Distilled Prompt Learning for Incomplete Multimodal Survival Prediction CVPR 2025 Distilling an End-to-End Voice Assistant Without Instruction Training Data ACL 2025 Distilling A Universal Expert from Clustered Federated Learning IJCAI 2025 Distilling Knowledge from Heterogeneous Architectures for Semantic Segmentation AAAI 2025 Distilling Many-Shot In-Context Learning into a Cheat Sheet EMNLP 2025 Distilling Spatially-Heterogeneous Distortion Perception for Blind Image Quality Assessment CVPR 2025 Distilling Structural Representations into Protein Sequence Models ICLR 2025 DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs ICML 2025 DistinctAD: Distinctive Audio Description Generation in Contexts CVPR 2025 Distraction is All You Need for Multimodal Large Language Model Jailbreaking CVPR 2025 Distributional Adversarial Loss AISTATS 2025 Distributional Associations vs In-Context Reasoning: A Study of Feed-forward and Attention Layers ICLR 2025 Distributionally and Adversarially Robust Logistic Regression via Intersecting Wasserstein Balls UAI 2025 Distributionally Robust Policy Evaluation and Learning for Continuous Treatment with Observational Data AAAI 2025 Distributional Off-policy Evaluation with Bellman Residual Minimization AISTATS 2025 Distributional Reinforcement Learning with Dual Expectile-Quantile Regression UAI 2025 Distribution-Aware Mean Estimation under User-level Local Differential Privacy AISTATS 2025 Distribution-Aware Online Learning for Urban Spatiotemporal Forecasting on Streaming Data IJCAI 2025 Distribution-Consistency-Guided Multi-modal Hashing AAAI 2025 Distribution-Level Feature Distancing for Machine Unlearning: Towards a Better Trade-off Between Model Utility and Forgetting AAAI 2025 Distribution Prototype Diffusion Learning for Open-set Supervised Anomaly Detection CVPR 2025 DiveR-CT: Diversity-enhanced Red Teaming Large Language Model Assistants with Relaxing Constraints AAAI 2025