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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
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'25

Papers (including subtopics)

Local Deep Implicit Functions for 3D Shape CVPR 2020 Local-Global Video-Text Interactions for Temporal Grounding CVPR 2020 Localize, Assemble, and Predicate: Contextual Object Proposal Embedding for Visual Relation Detection AAAI 2020 Logic2Text: High-Fidelity Natural Language Generation from Logical Forms EMNLP 2020 Logo-2K+: A Large-Scale Logo Dataset for Scalable Logo Classification AAAI 2020 Long-Short Graph Memory Network for Skeleton-based Action Recognition WACV 2020 Long Short-Term Sample Distillation AAAI 2020 Look-ahead Meta Learning for Continual Learning NeurIPS 2020 Look-Into-Object: Self-Supervised Structure Modeling for Object Recognition CVPR 2020 Look One and More: Distilling Hybrid Order Relational Knowledge for Cross-Resolution Image Recognition AAAI 2020 Loss-Based Attention for Deep Multiple Instance Learning AAAI 2020 Low-Dimensional Hyperbolic Knowledge Graph Embeddings ACL 2020 Low Distortion Block-Resampling with Spatially Stochastic Networks NeurIPS 2020 Low Latency End-to-End Streaming Speech Recognition with a Scout Network Interspeech 2020 Low-Latency Single Channel Speech Dereverberation Using U-Net Convolutional Neural Networks Interspeech 2020 Low Rank Fusion based Transformers for Multimodal Sequences ACL 2020 Low-Resource Domain Adaptation for Compositional Task-Oriented Semantic Parsing EMNLP 2020 Low-Resource G2P and P2G Conversion with Synthetic Training Data ACL 2020 Low-Resource Generation of Multi-hop Reasoning Questions ACL 2020 Low-Resource Translation as Language Modeling EMNLP 2020 LTF: A Label Transformation Framework for Correcting Label Shift ICML 2020 LT-Net: Label Transfer by Learning Reversible Voxel-Wise Correspondence for One-Shot Medical Image Segmentation CVPR 2020 LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention EMNLP 2020 LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility Likelihood CVPR 2020 LynyrdSkynyrd at WNUT-2020 Task 2: Semi-Supervised Learning for Identification of Informative COVID-19 English Tweets EMNLP 2020