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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
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'25

Papers (including subtopics)

STaR: Self-Supervised Tracking and Reconstruction of Rigid Objects in Motion With Neural Rendering CVPR 2021 State Entropy Maximization with Random Encoders for Efficient Exploration ICML 2021 State-Wise Adaptive Discounting from Experience (SADE): A Novel Discounting Scheme for Reinforcement Learning (Student Abstract) AAAI 2021 Statistically and Computationally Efficient Linear Meta-representation Learning NeurIPS 2021 Steering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu and COVID-19 AAAI 2021 Stepmothers are mean and academics are pretentious: What do pretrained language models learn about you? EMNLP 2021 StEP: Style-Based Encoder Pre-Training for Multi-Modal Image Synthesis CVPR 2021 Stereopagnosia: Fooling Stereo Networks with Adversarial Perturbations AAAI 2021 Stereotyping Norwegian Salmon: An Inventory of Pitfalls in Fairness Benchmark Datasets ACL 2021 Stochastic Precision Ensemble: Self-Knowledge Distillation for Quantized Deep Neural Networks AAAI 2021 STraTA: Self-Training with Task Augmentation for Better Few-shot Learning EMNLP 2021 Streaming Belief Propagation for Community Detection NeurIPS 2021 Streaming Transformer for Hardware Efficient Voice Trigger Detection and False Trigger Mitigation Interspeech 2021 Strengthen Learning Tolerance for Weakly Supervised Object Localization CVPR 2021 Stretch-VST: Getting Flexible With Visual Stories ACL 2021 StrokeGAN: Reducing Mode Collapse in Chinese Font Generation via Stroke Encoding AAAI 2021 Structural Adapters in Pretrained Language Models for AMR-to-Text Generation EMNLP 2021 Structural Guidance for Transformer Language Models ACL 2021 Structural Knowledge Distillation: Tractably Distilling Information for Structured Predictor ACL 2021 Structure-Aware Face Clustering on a Large-Scale Graph With 107 Nodes CVPR 2021 Structure-aware Fine-tuning of Sequence-to-sequence Transformers for Transition-based AMR Parsing EMNLP 2021 Structure-Consistent Weakly Supervised Salient Object Detection with Local Saliency Coherence AAAI 2021 Structured Multi-Level Interaction Network for Video Moment Localization via Language Query CVPR 2021 Structured Outdoor Architecture Reconstruction by Exploration and Classification ICCV 2021 Structured Scene Memory for Vision-Language Navigation CVPR 2021