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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)

Consensus Adversarial Domain Adaptation AAAI 2019 Consistency-based Semi-supervised Learning for Object detection NeurIPS 2019 Constrained Generative Adversarial Networks for Interactive Image Generation CVPR 2019 Constrained Sequence-to-sequence Semitic Root Extraction for Enriching Word Embeddings ACL 2019 Constructing Interpretive Spatio-Temporal Features for Multi-Turn Responses Selection ACL 2019 Content Authentication for Neural Imaging Pipelines: End-To-End Optimization of Photo Provenance in Complex Distribution Channels CVPR 2019 Content-Aware Multi-Level Guidance for Interactive Instance Segmentation CVPR 2019 Content Customization for Micro Learning using Human Augmented AI Techniques ACL 2019 Context and Attribute Grounded Dense Captioning CVPR 2019 Context-Aware Conversation Thread Detection in Multi-Party Chat EMNLP 2019 Context-Aware Crowd Counting CVPR 2019 Context-aware Embedding for Targeted Aspect-based Sentiment Analysis ACL 2019 Context-aware Interactive Attention for Multi-modal Sentiment and Emotion Analysis EMNLP 2019 Context-Aware Monolingual Repair for Neural Machine Translation EMNLP 2019 Context-aware Neural Machine Translation with Coreference Information EMNLP 2019 Context-Aware Self-Attention Networks AAAI 2019 Context-Aware Spatio-Recurrent Curvilinear Structure Segmentation CVPR 2019 ContextDesc: Local Descriptor Augmentation With Cross-Modality Context CVPR 2019 Context is Key: Grammatical Error Detection with Contextual Word Representations ACL 2019 Context-Reinforced Semantic Segmentation CVPR 2019 Contextualized context2vec EMNLP 2019 Contextualized Word Representations from Distant Supervision with and for NER EMNLP 2019 Contextual Text Denoising with Masked Language Model EMNLP 2019 Continual Unsupervised Representation Learning NeurIPS 2019 Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders NeurIPS 2019