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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)

Commission Fee is not Enough: A Hierarchical Reinforced Framework for Portfolio Management AAAI 2021 Common Sense Bias in Semantic Role Labeling EMNLP 2021 Commonsense Knowledge Augmentation for Low-Resource Languages via Adversarial Learning AAAI 2021 Commonsense Knowledge Aware Concept Selection For Diverse and Informative Visual Storytelling AAAI 2021 Communication-efficient and Scalable Decentralized Federated Edge Learning IJCAI 2021 Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation IJCAI 2021 Comparing Supervised Models and Learned Speech Representations for Classifying Intelligibility of Disordered Speech on Selected Phrases Interspeech 2021 Competence-based Curriculum Learning for Multilingual Machine Translation EMNLP 2021 Competence-based Multimodal Curriculum Learning for Medical Report Generation ACL 2021 Competing Independent Modules for Knowledge Integration and Optimization EMNLP 2021 Complementary Relation Contrastive Distillation CVPR 2021 Complete & Label: A Domain Adaptation Approach to Semantic Segmentation of LiDAR Point Clouds CVPR 2021 CompOFA – Compound Once-For-All Networks for Faster Multi-Platform Deployment ICLR 2021 Composable Energy Policies for Reactive Motion Generation and Reinforcement Learning RSS 2021 Composing Photos Like a Photographer CVPR 2021 Composite Adversarial Attacks AAAI 2021 CompositeTasking: Understanding Images by Spatial Composition of Tasks CVPR 2021 Compositional Learning of Image-Text Query for Image Retrieval WACV 2021 Compositional Networks Enable Systematic Generalization for Grounded Language Understanding EMNLP 2021 Compressed Video Contrastive Learning NeurIPS 2021 Compressive Visual Representations NeurIPS 2021 Computational Visual Ceramicology: Matching Image Outlines to Catalog Sketches AAAI 2021 Computing Ex Ante Coordinated Team-Maxmin Equilibria in Zero-Sum Multiplayer Extensive-Form Games AAAI 2021 Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts CVPR 2021 CondenseNet V2: Sparse Feature Reactivation for Deep Networks CVPR 2021