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)

Discriminative Transfer Learning with Tree-based Priors NeurIPS 2013 Distributed Representations of Words and Phrases and their Compositionality NeurIPS 2013 Dropout Training as Adaptive Regularization NeurIPS 2013 Efficient Detector Adaptation for Object Detection in a Video CVPR 2013 Ensemble Learning for Confidence Measures in Stereo Vision CVPR 2013 Ensemble Projection for Semi-supervised Image Classification ICCV 2013 Ensemble Video Object Cut in Highly Dynamic Scenes CVPR 2013 Event Recognition in Videos by Learning from Heterogeneous Web Sources CVPR 2013 Fast Convolutional Sparse Coding CVPR 2013 Fast Image Super-Resolution Based on In-Place Example Regression CVPR 2013 Fine-Grained Categorization by Alignments ICCV 2013 Generalized Denoising Auto-Encoders as Generative Models NeurIPS 2013 Generalized Domain-Adaptive Dictionaries CVPR 2013 GRASP Recurring Patterns from a Single View CVPR 2013 Higher Order Priors for Joint Intrinsic Image, Objects, and Attributes Estimation NeurIPS 2013 Histograms of Sparse Codes for Object Detection CVPR 2013 Human Pose Estimation Using a Joint Pixel-wise and Part-wise Formulation CVPR 2013 Hybrid Deep Learning for Face Verification ICCV 2013 Improving Image Matting Using Comprehensive Sampling Sets CVPR 2013 Joint Deep Learning for Pedestrian Detection ICCV 2013 Large-Scale Video Summarization Using Web-Image Priors CVPR 2013 Learning a Deep Compact Image Representation for Visual Tracking NeurIPS 2013 Learning and Selecting Features Jointly with Point-wise Gated Boltzmann Machines ICML 2013 Learning Cross-Domain Information Transfer for Location Recognition and Clustering CVPR 2013 Learning invariant representations and applications to face verification NeurIPS 2013