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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)

Decoupled Semantic Prototypes Enable Learning From Diverse Annotation Types for Semi-Weakly Segmentation in Expert-Driven Domains CVPR 2023 Decoupled Training for Long-Tailed Classification With Stochastic Representations ICLR 2023 Decouple then Combine: A Simple and Effective Framework for Fraud Transaction Detection ACML 2023 Decoupling Learning and Remembering: A Bilevel Memory Framework With Knowledge Projection for Task-Incremental Learning CVPR 2023 Decoupling MaxLogit for Out-of-Distribution Detection CVPR 2023 Decoupling Pseudo Label Disambiguation and Representation Learning for Generalized Intent Discovery ACL 2023 Decoupling with Entropy-based Equalization for Semi-Supervised Semantic Segmentation IJCAI 2023 DeCrisisMB: Debiased Semi-Supervised Learning for Crisis Tweet Classification via Memory Bank EMNLP 2023 DE-CROP: Data-Efficient Certified Robustness for Pretrained Classifiers WACV 2023 Deep Active Learning for Morphophonological Processing ACL 2023 Deep Anomaly Detection and Search via Reinforcement Learning (Student Abstract) AAAI 2023 Deep Anomaly Detection under Labeling Budget Constraints ICML 2023 Deep Attentive Model for Knowledge Tracing AAAI 2023 DeepBlueAI at PragTag-2023:Ensemble-based Text Classification Approaches under Limited Data Resources EMNLP 2023 DeepBrainPrint: A Novel Contrastive Framework for Brain MRI Re-Identification MIDL 2023 Deep Clustering with Incomplete Noisy Pairwise Annotations: A Geometric Regularization Approach ICML 2023 Deep Contract Design via Discontinuous Networks NeurIPS 2023 Deep Declarative Dynamic Time Warping for End-to-End Learning of Alignment Paths ICLR 2023 Deep Deterministic Uncertainty: A New Simple Baseline CVPR 2023 Deep Digging into the Generalization of Self-Supervised Monocular Depth Estimation AAAI 2023 Deep Ensembles for Graphs with Higher-order Dependencies ICLR 2023 Deep Factorized Metric Learning CVPR 2023 Deep Graph Representation Learning and Optimization for Influence Maximization ICML 2023 Deep Graph Reprogramming CVPR 2023 Deep Graph Structural Infomax AAAI 2023