conftrace_

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

1

22

25

29

26

38

46

60

109

129

179

310

686

1,294

2,286

3,018

3,254

3,930

4,067

4,819

5,737

2,605

'10

'15

'20

'25

Papers (including subtopics)

Learning from Dialogue after Deployment: Feed Yourself, Chatbot! ACL 2019 Learning from Label Proportions with Generative Adversarial Networks NeurIPS 2019 Learning From Synthetic Data for Crowd Counting in the Wild CVPR 2019 Learning from the Experience of Doctors: Automated Diagnosis of Appendicitis Based on Clinical Notes ACL 2019 Learning from Web Data Using Adversarial Discriminative Neural Networks for Fine-Grained Classification AAAI 2019 Learning Generalizable Device Placement Algorithms for Distributed Machine Learning NeurIPS 2019 Learning Heterogeneous Spatial-Temporal Representation for Bike-Sharing Demand Prediction AAAI 2019 Learning Hierarchical Priors in VAEs NeurIPS 2019 Learning How to Active Learn by Dreaming ACL 2019 Learning Independent Object Motion From Unlabelled Stereoscopic Videos CVPR 2019 Learning Individual Styles of Conversational Gesture CVPR 2019 Learning Instance Activation Maps for Weakly Supervised Instance Segmentation CVPR 2019 Learning Interpretable Relational Structures of Hinge-loss Markov Random Fields IJCAI 2019 Learning Invariant Representations with Kernel Warping AISTATS 2019 Learning Joint Gait Representation via Quintuplet Loss Minimization CVPR 2019 Learning Joint Reconstruction of Hands and Manipulated Objects CVPR 2019 Learning Latent Process from High-Dimensional Event Sequences via Efficient Sampling NeurIPS 2019 Learning Latent Trees with Stochastic Perturbations and Differentiable Dynamic Programming ACL 2019 Learning Local Descriptors With a CDF-Based Dynamic Soft Margin ICCV 2019 Learning Loss for Active Learning CVPR 2019 Learning Metrics From Teachers: Compact Networks for Image Embedding CVPR 2019 Learning Monocular Depth Estimation Infusing Traditional Stereo Knowledge CVPR 2019 Learning Multi-Class Segmentations From Single-Class Datasets CVPR 2019 Learning Multi-Task Communication with Message Passing for Sequence Learning AAAI 2019 Learning Navigation Subroutines from Egocentric Videos CoRL 2019