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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)

Transfer Anomaly Detection by Inferring Latent Domain Representations NeurIPS 2019 Transfer Fine-Tuning: A BERT Case Study EMNLP 2019 Transfer Learning Between Related Tasks Using Expected Label Proportions EMNLP 2019 Transfer Learning for Related Reinforcement Learning Tasks via Image-to-Image Translation ICML 2019 Transfer Learning from Pre-trained BERT for Pronoun Resolution ACL 2019 Transfer Learning in Biomedical Named Entity Recognition: An Evaluation of BERT in the PharmaCoNER task EMNLP 2019 Transferrable Prototypical Networks for Unsupervised Domain Adaptation CVPR 2019 Transferring Knowledge from Discourse to Arguments: A Case Study with Scientific Abstracts ACL 2019 Transformer-based Automatic Post-Editing Model with Joint Encoder and Multi-source Attention of Decoder ACL 2019 “Transforming” Delete, Retrieve, Generate Approach for Controlled Text Style Transfer EMNLP 2019 Transfusion: Understanding Transfer Learning for Medical Imaging NeurIPS 2019 TransGaGa: Geometry-Aware Unsupervised Image-To-Image Translation CVPR 2019 Translating Between Morphologically Rich Languages: An Arabic-to-Turkish Machine Translation System ACL 2019 Translating Translationese: A Two-Step Approach to Unsupervised Machine Translation ACL 2019 TransNFCM: Translation-Based Neural Fashion Compatibility Modeling AAAI 2019 TraVeLGAN: Image-To-Image Translation by Transformation Vector Learning CVPR 2019 Treat the Word As a Whole or Look Inside? Subword Embeddings Model Language Change and Typology ACL 2019 Tree Communication Models for Sentiment Analysis ACL 2019 Tree LSTMs with Convolution Units to Predict Stance and Rumor Veracity in Social Media Conversations ACL 2019 Tree Transformer: Integrating Tree Structures into Self-Attention EMNLP 2019 Trellis Networks for Sequence Modeling ICLR 2019 Triple Classification Using Regions and Fine-Grained Entity Typing AAAI 2019 Truly Proximal Policy Optimization UAI 2019 Trust Region Based Adversarial Attack on Neural Networks CVPR 2019 Tuning Multilingual Transformers for Language-Specific Named Entity Recognition ACL 2019