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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)

Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation CVPR 2019 Not All Areas Are Equal: Transfer Learning for Semantic Segmentation via Hierarchical Region Selection CVPR 2019 Not All Frames Are Equal: Weakly-Supervised Video Grounding With Contextual Similarity and Visual Clustering Losses CVPR 2019 No Training Required: Exploring Random Encoders for Sentence Classification ICLR 2019 NSIT@NLP4IF-2019: Propaganda Detection from News Articles using Transfer Learning EMNLP 2019 NTT’s Machine Translation Systems for WMT19 Robustness Task ACL 2019 NULI at SemEval-2019 Task 6: Transfer Learning for Offensive Language Detection using Bidirectional Transformers SemEval 2019 Number Sequence Prediction Problems for Evaluating Computational Powers of Neural Networks AAAI 2019 Numeracy-600K: Learning Numeracy for Detecting Exaggerated Information in Market Comments ACL 2019 Object-Centric Auto-Encoders and Dummy Anomalies for Abnormal Event Detection in Video CVPR 2019 Object-Driven Text-To-Image Synthesis via Adversarial Training CVPR 2019 Object landmark discovery through unsupervised adaptation NeurIPS 2019 ObjectNet: A large-scale bias-controlled dataset for pushing the limits of object recognition models NeurIPS 2019 Object Tracking by Reconstruction With View-Specific Discriminative Correlation Filters CVPR 2019 Occupancy Networks: Learning 3D Reconstruction in Function Space CVPR 2019 Off-Policy Deep Reinforcement Learning by Bootstrapping the Covariate Shift AAAI 2019 OK-VQA: A Visual Question Answering Benchmark Requiring External Knowledge CVPR 2019 One for All: Neural Joint Modeling of Entities and Events AAAI 2019 One Model to Learn Both: Zero Pronoun Prediction and Translation EMNLP 2019 One-Shot Object Detection with Co-Attention and Co-Excitation NeurIPS 2019 One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers NeurIPS 2019 One Time of Interaction May Not Be Enough: Go Deep with an Interaction-over-Interaction Network for Response Selection in Dialogues ACL 2019 On Finding Gray Pixels CVPR 2019 On GAP Coreference Resolution Shared Task: Insights from the 3rd Place Solution ACL 2019 On Learning Density Aware Embeddings CVPR 2019