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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)

Fine-grained Semantic Alignment Network for Weakly Supervised Temporal Language Grounding EMNLP 2021 Fine-Grained Style Modeling, Transfer and Prediction in Text-to-Speech Synthesis via Phone-Level Content-Style Disentanglement Interspeech 2021 FINE Samples for Learning with Noisy Labels NeurIPS 2021 Fine-Tuned Transformers Show Clusters of Similar Representations Across Layers EMNLP 2021 Finetuning Pretrained Transformers into RNNs EMNLP 2021 Finetuning Pretrained Transformers into Variational Autoencoders EMNLP 2021 Fine-tuning Transformers for Identifying Self-Reporting Potential Cases and Symptoms of COVID-19 in Tweets NAACL 2021 Finnish Dialect Identification: The Effect of Audio and Text EMNLP 2021 FixBi: Bridging Domain Spaces for Unsupervised Domain Adaptation CVPR 2021 Fix-Filter-Fix: Intuitively Connect Any Models for Effective Bug Fixing EMNLP 2021 FIXMYPOSE: Pose Correctional Captioning and Retrieval AAAI 2021 FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout NeurIPS 2021 FKIE_itf_2021 at CASE 2021 Task 1: Using Small Densely Fully Connected Neural Nets for Event Detection and Clustering ACL 2021 Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning NeurIPS 2021 Flexible Non-Autoregressive Extractive Summarization with Threshold: How to Extract a Non-Fixed Number of Summary Sentences AAAI 2021 FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling NeurIPS 2021 FLEX: Unifying Evaluation for Few-Shot NLP NeurIPS 2021 Flow-Guided One-Shot Talking Face Generation With a High-Resolution Audio-Visual Dataset CVPR 2021 Focus on Local: Detecting Lane Marker From Bottom Up via Key Point CVPR 2021 Fooling Thermal Infrared Pedestrian Detectors in Real World Using Small Bulbs AAAI 2021 Forecasting Irreversible Disease via Progression Learning CVPR 2021 Forecasting Reservoir Inflow via Recurrent Neural ODEs AAAI 2021 ForecastQA: A Question Answering Challenge for Event Forecasting with Temporal Text Data ACL 2021 Foreground Activation Maps for Weakly Supervised Object Localization ICCV 2021 Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction AAAI 2021