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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)

SCNet: Training Inference Sample Consistency for Instance Segmentation AAAI 2021 Screening Gender Transfer in Neural Machine Translation EMNLP 2021 SDD-FIQA: Unsupervised Face Image Quality Assessment With Similarity Distribution Distance CVPR 2021 Searching by Generating: Flexible and Efficient One-Shot NAS With Architecture Generator CVPR 2021 Searching for Alignment in Face Recognition AAAI 2021 Searching for Legal Documents at Paragraph Level: Automating Label Generation and Use of an Extended Attention Mask for Boosting Neural Models of Semantic Similarity EMNLP 2021 Searching for Search Errors in Neural Morphological Inflection EACL 2021 SecDD: Efficient and Secure Method for Remotely Training Neural Networks (Student Abstract) AAAI 2021 Secoco: Self-Correcting Encoding for Neural Machine Translation EMNLP 2021 SeCo: Exploring Sequence Supervision for Unsupervised Representation Learning AAAI 2021 Second-Order Neural ODE Optimizer NeurIPS 2021 Seeing Out of the Box: End-to-End Pre-Training for Vision-Language Representation Learning CVPR 2021 Seeking Common but Distinguishing Difference, A Joint Aspect-based Sentiment Analysis Model EMNLP 2021 Seeking Similarities Over Differences: Similarity-Based Domain Alignment for Adaptive Object Detection ICCV 2021 Seesaw Loss for Long-Tailed Instance Segmentation CVPR 2021 Segmenting Natural Language Sentences via Lexical Unit Analysis EMNLP 2021 Segment, Mask, and Predict: Augmenting Chinese Word Segmentation with Self-Supervision EMNLP 2021 Select, Extract and Generate: Neural Keyphrase Generation with Layer-wise Coverage Attention ACL 2021 Selecting Informative Contexts Improves Language Model Fine-tuning ACL 2021 Selective Classification Can Magnify Disparities Across Groups ICLR 2021 Selective Knowledge Distillation for Neural Machine Translation ACL 2021 Self- and Pseudo-self-supervised Prediction of Speaker and Key-utterance for Multi-party Dialogue Reading Comprehension EMNLP 2021 Self-Attention Based Text Knowledge Mining for Text Detection CVPR 2021 Self-Attention Networks Can Process Bounded Hierarchical Languages ACL 2021 SelfAugment: Automatic Augmentation Policies for Self-Supervised Learning CVPR 2021