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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)

Dual Mutual Information Constraints for Discriminative Clustering AAAI 2023 Dual-Path Adaptation From Image to Video Transformers CVPR 2023 Dual Prompt Learning for Continual Rain Removal from Single Images IJCAI 2023 Dual Propagation: Accelerating Contrastive Hebbian Learning with Dyadic Neurons ICML 2023 Dual Pseudo-Labels Interactive Self-Training for Semi-Supervised Visible-Infrared Person Re-Identification ICCV 2023 DualRefine: Self-Supervised Depth and Pose Estimation Through Iterative Epipolar Sampling and Refinement Toward Equilibrium CVPR 2023 DualRel: Semi-Supervised Mitochondria Segmentation From a Prototype Perspective CVPR 2023 Dual Student Networks for Data-Free Model Stealing ICLR 2023 DUB: Discrete Unit Back-translation for Speech Translation ACL 2023 Dueling RL: Reinforcement Learning with Trajectory Preferences AISTATS 2023 DUET: 2D Structured and Approximately Equivariant Representations ICML 2023 DUET: Cross-Modal Semantic Grounding for Contrastive Zero-Shot Learning AAAI 2023 DueT: Image-Text Contrastive Transfer Learning with Dual-adapter Tuning EMNLP 2023 DuETT: Dual Event Time Transformer for Electronic Health Records MLHC 2023 DuNST: Dual Noisy Self Training for Semi-Supervised Controllable Text Generation ACL 2023 DUTIR at SemEval-2023 Task 10: Semi-supervised Learning for Sexism Detection in English SemEval 2023 DyAnNet: A Scene Dynamicity Guided Self-Trained Video Anomaly Detection Network WACV 2023 DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting NeurIPS 2023 Dynamical Linear Bandits ICML 2023 Dynamically Masked Discriminator for GANs NeurIPS 2023 Dynamic Conceptional Contrastive Learning for Generalized Category Discovery CVPR 2023 Dynamic Ensemble of Low-Fidelity Experts: Mitigating NAS “Cold-Start” AAAI 2023 Dynamic Generative Targeted Attacks With Pattern Injection CVPR 2023 Dynamic Graph Enhanced Contrastive Learning for Chest X-Ray Report Generation CVPR 2023 Dynamic Heterogeneous-Graph Reasoning with Language Models and Knowledge Representation Learning for Commonsense Question Answering ACL 2023