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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)

Human-Like Delicate Region Erasing Strategy for Weakly Supervised Detection AAAI 2019 Human-Like Sketch Object Recognition via Analogical Learning AAAI 2019 Hybrid-Attention Based Decoupled Metric Learning for Zero-Shot Image Retrieval CVPR 2019 Hybrid Attention-Based Prototypical Networks for Noisy Few-Shot Relation Classification AAAI 2019 Hybrid Reinforcement Learning with Expert State Sequences AAAI 2019 Hybrid system identification using switching density networks CoRL 2019 Hypergraph Neural Networks AAAI 2019 Hyperprior Induced Unsupervised Disentanglement of Latent Representations AAAI 2019 Hyperspectral Image Reconstruction Using a Deep Spatial-Spectral Prior CVPR 2019 Hyperspectral Image Super-Resolution With Optimized RGB Guidance CVPR 2019 Hyperspectral Imaging With Random Printed Mask CVPR 2019 Identifying Adverse Drug Events Mentions in Tweets Using Attentive, Collocated, and Aggregated Medical Representation ACL 2019 Identifying Temporal Trends Based on Perplexity and Clustering: Are We Looking at Language Change? ACL 2019 Identifying Visible Actions in Lifestyle Vlogs ACL 2019 IITP-MT System for Gujarati-English News Translation Task at WMT 2019 ACL 2019 I Know the Relationships: Zero-Shot Action Recognition via Two-Stream Graph Convolutional Networks and Knowledge Graphs AAAI 2019 Im2Pencil: Controllable Pencil Illustration From Photographs CVPR 2019 Image Aesthetic Assessment Assisted by Attributes through Adversarial Learning AAAI 2019 Image Aesthetic Assessment Based on Pairwise Comparison A Unified Approach to Score Regression, Binary Classification, and Personalization ICCV 2019 Image Block Augmentation for One-Shot Learning AAAI 2019 Image Captioning with Very Scarce Supervised Data: Adversarial Semi-Supervised Learning Approach EMNLP 2019 Image Deformation Meta-Networks for One-Shot Learning CVPR 2019 Image-Question-Answer Synergistic Network for Visual Dialog CVPR 2019 Image Super-Resolution by Neural Texture Transfer CVPR 2019 Image Synthesis with a Single (Robust) Classifier NeurIPS 2019