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Learning Types

32,670 papers (1 classified directly here)

Subtopics · a paper can sit in several, so these overlap

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)

Papers per year

38
179
3,018
5,737
'10
'15
'20
'25

Papers (including subtopics)

Detection Based Defense Against Adversarial Examples From the Steganalysis Point of View CVPR 2019 Detection of Adverse Drug Reaction in Tweets Using a Combination of Heterogeneous Word Embeddings ACL 2019 Detection of Adverse Drug Reaction Mentions in Tweets Using ELMo ACL 2019 Detect-To-Retrieve: Efficient Regional Aggregation for Image Search CVPR 2019 Devil in the Details: Towards Accurate Single and Multiple Human Parsing AAAI 2019 Devil Is in the Edges: Learning Semantic Boundaries From Noisy Annotations CVPR 2019 Diachronic Sense Modeling with Deep Contextualized Word Embeddings: An Ecological View ACL 2019 DiaHClust: an Iterative Hierarchical Clustering Approach for Identifying Stages in Language Change ACL 2019 Dialect Text Normalization to Normative Standard Finnish EMNLP 2019 Dialog Intent Induction with Deep Multi-View Clustering EMNLP 2019 Dialogue-Act Prediction of Future Responses Based on Conversation History ACL 2019 Dialogue Natural Language Inference ACL 2019 Dictionary-Guided Editing Networks for Paraphrase Generation AAAI 2019 Did It Change? Learning to Detect Point-Of-Interest Changes for Proactive Map Updates CVPR 2019 Different Absorption from the Same Sharing: Sifted Multi-task Learning for Fake News Detection EMNLP 2019 Differentiable Game Mechanics JMLR 2019 Differential Networks for Visual Question Answering AAAI 2019 Differentiated Distribution Recovery for Neural Text Generation AAAI 2019 Difficulty-Aware Attention Network with Confidence Learning for Medical Image Segmentation AAAI 2019 Digging Into Self-Supervised Monocular Depth Estimation ICCV 2019 Direct Training for Spiking Neural Networks: Faster, Larger, Better AAAI 2019 Discovering Visual Patterns in Art Collections With Spatially-Consistent Feature Learning CVPR 2019 Discriminative Feature Learning for Unsupervised Video Summarization AAAI 2019 Disjoint Label Space Transfer Learning with Common Factorised Space AAAI 2019 DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction NeurIPS 2019