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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)

Learn from View Correlation: An Anchor Enhancement Strategy for Multi-view Clustering CVPR 2024 Learn How to See: Collaborative Embodied Learning for Object Detection and Camera Adjusting AAAI 2024 Learning Accurate and Bidirectional Transformation via Dynamic Embedding Transportation for Cross-Domain Recommendation AAAI 2024 Learning an Actionable Discrete Diffusion Policy via Large-Scale Actionless Video Pre-Training NeurIPS 2024 Learning and Transferring Sparse Contextual Bigrams with Linear Transformers NeurIPS 2024 Learning a Single Neuron Robustly to Distributional Shifts and Adversarial Label Noise NeurIPS 2024 Learning-Augmented Algorithms with Explicit Predictors NeurIPS 2024 Learning-Augmented Dynamic Submodular Maximization NeurIPS 2024 Learning-Based Algorithms for Graph Searching Problems AISTATS 2024 Learning Bayesian Network Classifiers to Minimize the Class Variable Parameters AAAI 2024 Learning by Erasing: Conditional Entropy Based Transferable Out-of-Distribution Detection AAAI 2024 Learning Causal Abstractions of Linear Structural Causal Models UAI 2024 Learning Causal Markov Boundaries with Mixed Observational and Experimental Data PGM 2024 Learning Class and Domain Augmentations for Single-Source Open-Domain Generalization WACV 2024 Learning Cluster-Wise Anchors for Multi-View Clustering AAAI 2024 Learning Coalition Structures with Games AAAI 2024 Learning Commonality, Divergence and Variety for Unsupervised Visible-Infrared Person Re-identification NeurIPS 2024 Learning Communication Policies for Different Follower Behaviors in a Collaborative Reference Game ACL 2024 Learning Conditional Preference Networks: An Approach Based on the Minimum Description Length Principle IJCAI 2024 Learning Continual Compatible Representation for Re-indexing Free Lifelong Person Re-identification CVPR 2024 Learning De-Biased Representations for Remote-Sensing Imagery NeurIPS 2024 Learning Decentralized Partially Observable Mean Field Control for Artificial Collective Behavior ICLR 2024 Learning Degradation-Independent Representations for Camera ISP Pipelines CVPR 2024 Learning Diffusions under Uncertainty AAAI 2024 Learning Discrete Concepts in Latent Hierarchical Models NeurIPS 2024