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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)

Reinforcement Learning Platform for Adversarial Black-box Attacks with Custom Distortion Filters AAAI 2025 Reinforcement learning with combinatorial actions for coupled restless bandits ICLR 2025 Rejected Dialects: Biases Against African American Language in Reward Models NAACL 2025 Relation3D : Enhancing Relation Modeling for Point Cloud Instance Segmentation CVPR 2025 Relational Causal Discovery with Latent Confounders UAI 2025 Relational Neurosymbolic Markov Models AAAI 2025 Relational Self-Supervised Distillation with Compact Descriptors for Image Copy Detection WACV 2025 Relation-Augmented Dueling Bayesian Optimization via Preference Propagation IJCAI 2025 Relation-Aware Diffusion for Heterogeneous Graphs with Partially Observed Features ICLR 2025 Relation-Aware Equivariant Graph Networks for Epitope-Unknown Antibody Design and Specificity Optimization AAAI 2025 Relation-aware Hierarchical Prompt for Open-vocabulary Scene Graph Generation AAAI 2025 Relation-Aware Prompting Makes Large Language Models Effective Zero-shot Relation Extractors EMNLP 2025 Relation Extraction or Pattern Matching? Unravelling the Generalisation Limits of Language Models for Biographical RE IJCNLP 2025 Relaxed Class-consensus Consistency for Semi-supervised Semantic Segmentation AAAI 2025 Relaxing Binary Constraints in Contrastive Vision-Language Medical Representation Learning WACV 2025 ReLayout: Towards Real-World Document Understanding via Layout-enhanced Pre-training COLING 2025 RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data ICLR 2025 ReLearn: Unlearning via Learning for Large Language Models ACL 2025 Reliability of Topic Modeling NAACL 2025 Reliable and Cost-Effective Exploratory Data Analysis via Graph-Guided RAG EMNLP 2025 Reliable and Diverse Hierarchical Adapter for Zero-shot Video Classification IJCAI 2025 Reliable Disentanglement Multi-view Learning Against View Adversarial Attacks IJCAI 2025 ReliableEval: A Recipe for Stochastic LLM Evaluation via Method of Moments EMNLP 2025 Reliably Bounding False Positives: A Zero-Shot Machine-Generated Text Detection Framework via Multiscaled Conformal Prediction ACL 2025 RELIC: Enhancing Reward Model Generalization for Low-Resource Indic Languages with Few-Shot Examples EMNLP 2025