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Learning Types

32,670 papers (1 classified directly here)

Representation Learning (5,307) Multimodal Learning (3,969) Self-Supervised Learning (3,492) Transfer Learning (2,890) Adversarial Learning (2,199) Deep Learning (1,883) Contrastive Learning (1,730) Reinforcement Learning (1,500) Knowledge Distillation (1,494) Fine-Tuning (1,117) Multi-Task Learning (1,069) Domain Adaptation (977) Zero-Shot Learning (758) Unsupervised Learning (734) Few-Shot Learning (694) Classification (621) Retrieval-Augmented Generation (606) Data Augmentation (583) Semi-Supervised Learning (450) Weakly Supervised Learning (429) Continual Learning (408) In-Context Learning (387) Sequence Modeling (375) Meta-Learning (252) Metric Learning (232) Ensemble Learning (223) Federated Learning (215) Multi-Lingual Learning (199) Robustness (197) Parameter-Efficient Fine-Tuning (190) Imitation Learning (180) Prompt Engineering (170) Chain-of-Thought Reasoning (153) Curriculum Learning (146) Synthetic Data Generation (143) Reinforcement Learning from Human Feedback (141) Multi-Label Classification (123) Regression (117) Generative Model (109) Semantic Segmentation (106) Domain Generalization (105) Uncertainty Quantification (98) Controllable Generation (93) Text Generation (86) Neural Architecture Search (80) Object Detection (80) Image Generation (79) Multi-Agent Systems (76) Feature Learning (74) Preference Learning (73) Machine Translation (71) Out-of-Distribution Detection (68) Machine Unlearning (63) Generation (61) Reasoning (54) Multi-View Learning (53) Time Series (52) Instruction Tuning (50) Distributed Learning (50) Image Restoration (49) Chain-of-Thought (48) Active Learning (47) Text Classification (43) Distribution Shift (43) Structured Prediction (42) Clustering (41) Image Classification (40) Model Merging (37) Sparse Learning (36) Sequence Labeling (36) Multi-Instance Learning (35) Anomaly Detection (33) Image Processing (33) Code Generation (31) Fairness (30) Robust Learning (28) Multi-Domain Learning (27) Supervised Learning (26) Model-Based RL (25) Natural Language Generation (24) Privacy (21) Multi-Objective Optimization (19) Multi-Scale Learning (19) Neural Machine Translation (18) Causal Inference (14) Instance Segmentation (9) Interactive Learning (9) Multi-Label Learning (9) Multi-Source Learning (9) Multi-Class Classification (8)
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Papers (including subtopics)

DRUM: End-To-End Differentiable Rule Mining On Knowledge Graphs NeurIPS 2019 DSFD: Dual Shot Face Detector CVPR 2019 DSINE: Deep Structural Influence Learning via Network Embedding AAAI 2019 d-SNE: Domain Adaptation Using Stochastic Neighborhood Embedding CVPR 2019 DSTC7 Task 1: Noetic End-to-End Response Selection ACL 2019 DTMT: A Novel Deep Transition Architecture for Neural Machine Translation AAAI 2019 DTWNet: a Dynamic Time Warping Network NeurIPS 2019 Dual Adversarial Semantics-Consistent Network for Generalized Zero-Shot Learning NeurIPS 2019 Dual Encoding for Zero-Example Video Retrieval CVPR 2019 Dually Interactive Matching Network for Personalized Response Selection in Retrieval-Based Chatbots EMNLP 2019 Dual Semi-Supervised Learning for Facial Action Unit Recognition AAAI 2019 Dual Variational Generation for Low Shot Heterogeneous Face Recognition NeurIPS 2019 Dual-View Ranking with Hardness Assessment for Zero-Shot Learning AAAI 2019 DuDoNet: Dual Domain Network for CT Metal Artifact Reduction CVPR 2019 DUT-NLP at MEDIQA 2019: An Adversarial Multi-Task Network to Jointly Model Recognizing Question Entailment and Question Answering ACL 2019 DyKgChat: Benchmarking Dialogue Generation Grounding on Dynamic Knowledge Graphs EMNLP 2019 Dynamically Composing Domain-Data Selection with Clean-Data Selection by “Co-Curricular Learning” for Neural Machine Translation ACL 2019 Dynamically Identifying Deep Multimodal Features for Image Privacy Prediction AAAI 2019 Dynamic Experience Replay CoRL 2019 Dynamic Fusion With Intra- and Inter-Modality Attention Flow for Visual Question Answering CVPR 2019 Dynamic Layer Aggregation for Neural Machine Translation with Routing-by-Agreement AAAI 2019 Dynamic Past and Future for Neural Machine Translation EMNLP 2019 Dynamic Recursive Neural Network CVPR 2019 Dynamic Vehicle Traffic Control Using Deep Reinforcement Learning in Automated Material Handling System AAAI 2019 DynTypo: Example-Based Dynamic Text Effects Transfer CVPR 2019