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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)

Energy-Based Learning for Scene Graph Generation CVPR 2021 Engage the Public: Poll Question Generation for Social Media Posts ACL 2021 Enhanced Audio Tagging via Multi- to Single-Modal Teacher-Student Mutual Learning AAAI 2021 Enhanced Regularizers for Attributional Robustness AAAI 2021 Enhancing Audio-Visual Association with Self-Supervised Curriculum Learning AAAI 2021 Enhancing Context-Based Meta-Reinforcement Learning Algorithms via An Efficient Task Encoder (Student Abstract) AAAI 2021 Enhancing Document Ranking with Task-adaptive Training and Segmented Token Recovery Mechanism EMNLP 2021 Enhancing Dual-Encoders with Question and Answer Cross-Embeddings for Answer Retrieval EMNLP 2021 Enhancing Interpretable Clauses Semantically using Pretrained Word Representation EMNLP 2021 Enhancing Multiple-choice Machine Reading Comprehension by Punishing Illogical Interpretations EMNLP 2021 Enhancing Semantic Understanding with Self-Supervised Methods for Abstractive Dialogue Summarization Interspeech 2021 Enhancing the Context Representation in Similarity-based Word Sense Disambiguation EMNLP 2021 Enhancing the Transferability of Adversarial Attacks Through Variance Tuning CVPR 2021 Enhancing Unsupervised Video Representation Learning by Decoupling the Scene and the Motion AAAI 2021 Enhancing Visual Dialog Questioner with Entity-based Strategy Learning and Augmented Guesser EMNLP 2021 Enriching and Controlling Global Semantics for Text Summarization EMNLP 2021 Ensembling of Distilled Models from Multi-task Teachers for Constrained Resource Language Pairs EMNLP 2021 Ensembling With a Fixed Parameter Budget: When Does It Help and Why? ACML 2021 Ensembling With Deep Generative Views CVPR 2021 EnsLM: Ensemble Language Model for Data Diversity by Semantic Clustering ACL 2021 Entity Concept-enhanced Few-shot Relation Extraction ACL 2021 Entity-level Cross-modal Learning Improves Multi-modal Machine Translation EMNLP 2021 Entity Structure Within and Throughout: Modeling Mention Dependencies for Document-Level Relation Extraction AAAI 2021 ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation AAAI 2021 EQG-RACE: Examination-Type Question Generation AAAI 2021