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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)

Towards Robust Neural Machine Translation ACL 2018 Towards Semi-Supervised Learning for Deep Semantic Role Labeling EMNLP 2018 Towards Universal Representation for Unseen Action Recognition CVPR 2018 Trainable Calibration Measures for Neural Networks from Kernel Mean Embeddings ICML 2018 Training a Neural Network in a Low-Resource Setting on Automatically Annotated Noisy Data ACL 2018 Training Deeper Neural Machine Translation Models with Transparent Attention EMNLP 2018 Training deep learning based denoisers without ground truth data NeurIPS 2018 Training for Diversity in Image Paragraph Captioning EMNLP 2018 Training Millions of Personalized Dialogue Agents EMNLP 2018 Trajectory Convolution for Action Recognition NeurIPS 2018 Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-Identification CVPR 2018 Transfer Learning for Context-Aware Question Matching in Information-seeking Conversations in E-commerce ACL 2018 Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis NeurIPS 2018 Transfer Learning in Multilingual Neural Machine Translation with Dynamic Vocabulary EMNLP 2018 Transfer Learning with Neural AutoML NeurIPS 2018 Transfer of Deep Reactive Policies for MDP Planning NeurIPS 2018 Transformation Networks for Target-Oriented Sentiment Classification ACL 2018 Transition-based Adversarial Network for Cross-lingual Aspect Extraction IJCAI 2018 Translating and Segmenting Multimodal Medical Volumes With Cycle- and Shape-Consistency Generative Adversarial Network CVPR 2018 Transliteration Better than Translation? Answering Code-mixed Questions over a Knowledge Base ACL 2018 Trick Me If You Can: Adversarial Writing of Trivia Challenge Questions ACL 2018 Triplet-Center Loss for Multi-View 3D Object Retrieval CVPR 2018 Triplet Loss Based Cosine Similarity Metric Learning for Text-independent Speaker Recognition Interspeech 2018 Trivial Transfer Learning for Low-Resource Neural Machine Translation EMNLP 2018 TVQA: Localized, Compositional Video Question Answering EMNLP 2018