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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)

Deep anytime-valid hypothesis testing AISTATS 2024 Deep Classifier Mimicry without Data Access AISTATS 2024 Deep Contrastive Graph Learning with Clustering-Oriented Guidance AAAI 2024 Deep Copula-Based Survival Analysis for Dependent Censoring with Identifiability Guarantees AAAI 2024 Deep Correlated Prompting for Visual Recognition with Missing Modalities NeurIPS 2024 Deep Dependency Networks and Advanced Inference Schemes for Multi-Label Classification AISTATS 2024 DeepDRK: Deep Dependency Regularized Knockoff for Feature Selection NeurIPS 2024 Deeper Insights Without Updates: The Power of In-Context Learning Over Fine-Tuning EMNLP 2024 Deep Exploration of Cross-Lingual Zero-Shot Generalization in Instruction Tuning ACL 2024 DeepFDR: A Deep Learning-based False Discovery Rate Control Method for Neuroimaging Data AISTATS 2024 Deep Generative Model based Rate-Distortion for Image Downscaling Assessment CVPR 2024 Deep Geodesic Canonical Correlation Analysis for Covariance-Based Neuroimaging Data ICLR 2024 Deep Homography Estimation for Visual Place Recognition AAAI 2024 Deep Image Fingerprint: Towards Low Budget Synthetic Image Detection and Model Lineage Analysis WACV 2024 Deep Incomplete Multi-View Learning Network with Insufficient Label Information AAAI 2024 DeepITE: Designing Variational Graph Autoencoders for Intervention Target Estimation NeurIPS 2024 Deep Learning-Based Alternative Route Computation AISTATS 2024 Deep Learning in Medical Image Registration: Magic or Mirage? NeurIPS 2024 Deep Multi-Dimensional Classification with Pairwise Dimension-Specific Features IJCAI 2024 DeepSaDe: Learning Neural Networks That Guarantee Domain Constraint Satisfaction AAAI 2024 Deep Structural Knowledge Exploitation and Synergy for Estimating Node Importance Value on Heterogeneous Information Networks AAAI 2024 Deep Subdomain Alignment for Cross-Domain Image Classification WACV 2024 Deep Submodular Peripteral Networks NeurIPS 2024 Deep Support Vectors NeurIPS 2024 Deep Temporal Graph Clustering ICLR 2024