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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)

On Lifted Inference Using Neural Embeddings AAAI 2019 On-Line Adaptative Curriculum Learning for GANs AAAI 2019 Online Normalization for Training Neural Networks NeurIPS 2019 On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks NeurIPS 2019 On Nonlinear Spatial Filtering in Multichannel Speech Enhancement Interspeech 2019 On Reinforcement Learning for Full-Length Game of StarCraft AAAI 2019 On Relating Explanations and Adversarial Examples NeurIPS 2019 On Single Source Robustness in Deep Fusion Models NeurIPS 2019 On Stabilizing Generative Adversarial Training With Noise CVPR 2019 On The Classification-Distortion-Perception Tradeoff NeurIPS 2019 On the Effectiveness of the Pooling Methods for Biomedical Relation Extraction with Deep Learning EMNLP 2019 On the Importance of Word Boundaries in Character-level Neural Machine Translation EMNLP 2019 On the Intrinsic Dimensionality of Image Representations CVPR 2019 On the Robustness of Self-Attentive Models ACL 2019 On the Structural Sensitivity of Deep Convolutional Networks to the Directions of Fourier Basis Functions CVPR 2019 On the Word Alignment from Neural Machine Translation ACL 2019 On Zero-Shot Recognition of Generic Objects CVPR 2019 Open Domain Event Extraction Using Neural Latent Variable Models ACL 2019 Open Domain Web Keyphrase Extraction Beyond Language Modeling EMNLP 2019 Open-Domain Why-Question Answering with Adversarial Learning to Encode Answer Texts ACL 2019 Open Sesame: Getting inside BERT’s Linguistic Knowledge ACL 2019 Opportunistic Learning: Budgeted Cost-Sensitive Learning from Data Streams ICLR 2019 Optimal Completion Distillation for Sequence Learning ICLR 2019 Optimal Projection Guided Transfer Hashing for Image Retrieval AAAI 2019 Optimal Transport-based Alignment of Learned Character Representations for String Similarity ACL 2019