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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 Domain-Adversarial Image Generation for Domain Generalisation AAAI 2020 Deep Drone Acrobatics RSS 2020 DeepDualMapper: A Gated Fusion Network for Automatic Map Extraction Using Aerial Images and Trajectories AAAI 2020 Deep Dynamic Boosted Forest ACML 2020 Deep Embedded Complementary and Interactive Information for Multi-View Classification AAAI 2020 Deep Embedded Non-Redundant Clustering AAAI 2020 DeepEMD: Few-Shot Image Classification With Differentiable Earth Mover's Distance and Structured Classifiers CVPR 2020 DeepErase: Weakly Supervised Ink Artifact Removal in Document Text Images WACV 2020 DeepFuse: An IMU-Aware Network for Real-Time 3D Human Pose Estimation from Multi-View Image WACV 2020 Deep Generative Model for Robust Imbalance Classification CVPR 2020 Deep Graph Pose: a semi-supervised deep graphical model for improved animal pose tracking NeurIPS 2020 Deep Hierarchical Classification for Category Prediction in E-commerce System ACL 2020 Deep Homography Estimation for Dynamic Scenes CVPR 2020 Deep Hurdle Networks for Zero-Inflated Multi-Target Regression: Application to Multiple Species Abundance Estimation IJCAI 2020 DeepI2I: Enabling Deep Hierarchical Image-to-Image Translation by Transferring from GANs NeurIPS 2020 Deep Imitation Learning for Bimanual Robotic Manipulation NeurIPS 2020 Deep k-NN for Noisy Labels ICML 2020 Deep Learning Applied to Chest X-Rays: Exploiting and Preventing Shortcuts MLHC 2020 DeepMatch: Balancing Deep Covariate Representations for Causal Inference Using Adversarial Training ICML 2020 Deep Message Passing on Sets AAAI 2020 Deep Model-Based Reinforcement Learning via Estimated Uncertainty and Conservative Policy Optimization AAAI 2020 Deep-n-Cheap: An Automated Search Framework for Low Complexity Deep Learning ACML 2020 Deep Neural Network Approximated Dynamic Programming for Combinatorial Optimization AAAI 2020 Deep Object Co-Segmentation via Spatial-Semantic Network Modulation AAAI 2020 Deep Ranking for Style-Aware Room Recommendations (Student Abstract) AAAI 2020