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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)

Semi-supervised Domain Adaptation for Dependency Parsing ACL 2019 Semi-Supervised Learning for Electron Microscopy Image Segmentation AAAI 2019 Semi-Supervised Semantic Role Labeling with Cross-View Training EMNLP 2019 Semi-Supervised Sequence-to-Sequence ASR Using Unpaired Speech and Text Interspeech 2019 Semi-supervised Stochastic Multi-Domain Learning using Variational Inference ACL 2019 Semi-Supervised Transfer Learning for Image Rain Removal CVPR 2019 Sensitivity Analysis of Deep Neural Networks AAAI 2019 Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks EMNLP 2019 Sentence Centrality Revisited for Unsupervised Summarization ACL 2019 Sentence-Level Agreement for Neural Machine Translation ACL 2019 Sentence-Level Content Planning and Style Specification for Neural Text Generation EMNLP 2019 Sentence-Level Propaganda Detection in News Articles with Transfer Learning and BERT-BiLSTM-Capsule Model EMNLP 2019 Sentence Mover’s Similarity: Automatic Evaluation for Multi-Sentence Texts ACL 2019 Sentiment Classification Using Document Embeddings Trained with Cosine Similarity ACL 2019 Separate Loss for Basic and Compound Facial Expression Recognition in the Wild ACML 2019 Separate to Adapt: Open Set Domain Adaptation via Progressive Separation CVPR 2019 Sequence Labeling Parsing by Learning across Representations ACL 2019 Sequence Modeling with Unconstrained Generation Order NeurIPS 2019 Sequence Tagging with Contextual and Non-Contextual Subword Representations: A Multilingual Evaluation ACL 2019 Sequence-to-Nuggets: Nested Entity Mention Detection via Anchor-Region Networks ACL 2019 Sequence-To-Sequence Domain Adaptation Network for Robust Text Image Recognition CVPR 2019 Sequence to Sequence Learning for Query Expansion AAAI 2019 Sequence-to-Sequence Learning via Attention Transfer for Incremental Speech Recognition Interspeech 2019 Sequential Learning of Convolutional Features for Effective Text Classification EMNLP 2019 Shallow Domain Adaptive Embeddings for Sentiment Analysis EMNLP 2019