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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)

Explicit and Implicit Examinee-Question Relation Exploiting for Efficient Computerized Adaptive Testing AAAI 2025 Exploiting Approximate Symmetry for Efficient Multi-Agent Reinforcement Learning L4DC 2025 Exploiting Fine-Grained Skip Behaviors for Micro-Video Recommendation AAAI 2025 Exploiting Label Skewness for Spiking Neural Networks in Federated Learning IJCAI 2025 Exploiting Multimodal Spatial-temporal Patterns for Video Object Tracking AAAI 2025 Exploiting Prompt-induced Confidence for Black-Box Attacks on LLMs EMNLP 2025 Exploiting Self-Refining Normal Graph Structures for Robust Defense against Unsupervised Adversarial Attacks IJCAI 2025 Exploiting Vision Language Model for Training-Free 3D Point Cloud OOD Detection via Graph Score Propagation ICCV 2025 Exploit Your Latents: Coarse-Grained Protein Backmapping with Latent Diffusion Models AAAI 2025 Exploration-Driven Generative Interactive Environments CVPR 2025 Exploration Lab IITK at SemEval-2025 Task 11: Bridging the Gap in Text-Based Emotion Detection SemEval 2025 Exploration Lab IITK at SemEval-2025 Task 8: Multi-LLM Agent QA over Tabular Data SemEval 2025 Exploratory Preference Optimization: Harnessing Implicit Q*-Approximation for Sample-Efficient RLHF ICLR 2025 Exploring a Principled Framework for Deep Subspace Clustering ICLR 2025 Exploring Artificial Image Generation for Stance Detection EMNLP 2025 Exploring Chain-of-Thought Reasoning for Steerable Pluralistic Alignment EMNLP 2025 Exploring CLIP's Dense Knowledge for Weakly Supervised Semantic Segmentation CVPR 2025 Exploring Compositional Generalization of Multimodal LLMs for Medical Imaging ACL 2025 Exploring Contextual Attribute Density in Referring Expression Counting CVPR 2025 Exploring Deductive and Inductive Reasoning Capabilities of Large Language Models in Procedural Planning EMNLP 2025 Exploring Explanations Improves the Robustness of In-Context Learning ACL 2025 Exploring Exploration in Bayesian Optimization UAI 2025 Exploring Forgetting in Large Language Model Pre-Training ACL 2025 Exploring In-context Example Generation for Machine Translation ACL 2025 Exploring Intrinsic Normal Prototypes within a Single Image for Universal Anomaly Detection CVPR 2025