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)

Multi-Objective Convolutional Learning for Face Labeling CVPR 2015 Multi-Task Deep Visual-Semantic Embedding for Video Thumbnail Selection CVPR 2015 Multi-View Convolutional Neural Networks for 3D Shape Recognition ICCV 2015 On Learning Optimized Reaction Diffusion Processes for Effective Image Restoration CVPR 2015 Ontological Supervision for Fine Grained Classification of Street View Storefronts CVPR 2015 Orthogonal NMF through Subspace Exploration NeurIPS 2015 Pedestrian Detection Aided by Deep Learning Semantic Tasks CVPR 2015 Projection Metric Learning on Grassmann Manifold With Application to Video Based Face Recognition CVPR 2015 Ranking and Retrieval of Image Sequences From Multiple Paragraph Queries CVPR 2015 Real-Time Coarse-to-Fine Topologically Preserving Segmentation CVPR 2015 Rectified Factor Networks NeurIPS 2015 Regressive Virtual Metric Learning NeurIPS 2015 Rethinking LDA: Moment Matching for Discrete ICA NeurIPS 2015 Robust Regression via Hard Thresholding NeurIPS 2015 Rotating Your Face Using Multi-Task Deep Neural Network CVPR 2015 Saliency Detection by Multi-Context Deep Learning CVPR 2015 Salient Object Detection via Bootstrap Learning CVPR 2015 Scene Classification With Semantic Fisher Vectors CVPR 2015 Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks NeurIPS 2015 Second-Order Constrained Parametric Proposals and Sequential Search-Based Structured Prediction for Semantic Segmentation in RGB-D Images CVPR 2015 segDeepM: Exploiting Segmentation and Context in Deep Neural Networks for Object Detection CVPR 2015 Semi-supervised Convolutional Neural Networks for Text Categorization via Region Embedding NeurIPS 2015 Semi-Supervised Factored Logistic Regression for High-Dimensional Neuroimaging Data NeurIPS 2015 Semi-supervised Learning with Ladder Networks NeurIPS 2015 Semi-supervised Sequence Learning NeurIPS 2015