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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)

Obtaining Faithful Interpretations from Compositional Neural Networks ACL 2020 OctSqueeze: Octree-Structured Entropy Model for LiDAR Compression CVPR 2020 Offset Bin Classification Network for Accurate Object Detection CVPR 2020 OF-MSRN: Optical Flow-Auxiliary Multi-Task Regression Network for Direct Quantitative Measurement, Segmentation and Motion Estimation AAAI 2020 Old Is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm CVPR 2020 Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free NeurIPS 2020 On Deep Unsupervised Active Learning IJCAI 2020 One Man's Trash Is Another Man's Treasure: Resisting Adversarial Examples by Adversarial Examples CVPR 2020 One Model, Many Languages: Meta-Learning for Multilingual Text-to-Speech Interspeech 2020 One Model to Pronounce Them All: Multilingual Grapheme-to-Phoneme Conversion With a Transformer Ensemble ACL 2020 One-Shot Adversarial Attacks on Visual Tracking With Dual Attention CVPR 2020 One-Shot Domain Adaptation for Face Generation CVPR 2020 One-Shot Learning for Long-Tail Visual Relation Detection AAAI 2020 One-Size-Fits-All Multilingual Models ACL 2020 One-to-one Mapping for Unpaired Image-to-image Translation WACV 2020 On Exposure Bias, Hallucination and Domain Shift in Neural Machine Translation ACL 2020 On Faithfulness and Factuality in Abstractive Summarization ACL 2020 On Identifying Hashtags in Disaster Twitter Data AAAI 2020 On Isometry Robustness of Deep 3D Point Cloud Models Under Adversarial Attacks CVPR 2020 Online Adaptation for Consistent Mesh Reconstruction in the Wild NeurIPS 2020 Online Conversation Disentanglement with Pointer Networks EMNLP 2020 Online Deep Clustering for Unsupervised Representation Learning CVPR 2020 Online Depth Learning Against Forgetting in Monocular Videos CVPR 2020 Online Joint Multi-Metric Adaptation From Frequent Sharing-Subset Mining for Person Re-Identification CVPR 2020 Online Knowledge Distillation via Collaborative Learning CVPR 2020