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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)

Straight to the Tree: Constituency Parsing with Neural Syntactic Distance ACL 2018 Structure-Aware Convolutional Neural Networks NeurIPS 2018 Structured Alignment Networks for Matching Sentences EMNLP 2018 Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation CVPR 2018 Structured Control Nets for Deep Reinforcement Learning ICML 2018 Structured Uncertainty Prediction Networks CVPR 2018 StructVAE: Tree-structured Latent Variable Models for Semi-supervised Semantic Parsing ACL 2018 Sub-word information in pre-trained biomedical word representations: evaluation and hyper-parameter optimization ACL 2018 Subword-level Word Vector Representations for Korean ACL 2018 Summarizing Opinions: Aspect Extraction Meets Sentiment Prediction and They Are Both Weakly Supervised EMNLP 2018 Super-FAN: Integrated Facial Landmark Localization and Super-Resolution of Real-World Low Resolution Faces in Arbitrary Poses With GANs CVPR 2018 Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation CVPR 2018 Supervised autoencoders: Improving generalization performance with unsupervised regularizers NeurIPS 2018 Supervised Domain Enablement Attention for Personalized Domain Classification EMNLP 2018 Supervised Treebank Conversion: Data and Approaches ACL 2018 Supervision-by-Registration: An Unsupervised Approach to Improve the Precision of Facial Landmark Detectors CVPR 2018 Surprisingly Easy Hard-Attention for Sequence to Sequence Learning EMNLP 2018 SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference EMNLP 2018 SwitchOut: an Efficient Data Augmentation Algorithm for Neural Machine Translation EMNLP 2018 Syntactic Dependency Representations in Neural Relation Classification ACL 2018 Syntactic Scaffolds for Semantic Structures EMNLP 2018 Syntax-based Transfer Learning for the Task of Biomedical Relation Extraction EMNLP 2018 Syntax Encoding with Application in Authorship Attribution EMNLP 2018 Syntax for Semantic Role Labeling, To Be, Or Not To Be ACL 2018 Synthesizing Programs for Images using Reinforced Adversarial Learning ICML 2018