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)

Compression Artifacts Reduction by a Deep Convolutional Network ICCV 2015 Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting NeurIPS 2015 Convolutional Networks on Graphs for Learning Molecular Fingerprints NeurIPS 2015 Convolutional Neural Networks at Constrained Time Cost CVPR 2015 Correlation Filters With Limited Boundaries CVPR 2015 Cross-Domain Matching for Bag-of-Words Data via Kernel Embeddings of Latent Distributions NeurIPS 2015 Cross-Scene Crowd Counting via Deep Convolutional Neural Networks CVPR 2015 Curriculum Learning of Multiple Tasks CVPR 2015 Data-Driven Depth Map Refinement via Multi-Scale Sparse Representation CVPR 2015 Data Generation as Sequential Decision Making NeurIPS 2015 Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation NeurIPS 2015 DEEP-CARVING: Discovering Visual Attributes by Carving Deep Neural Nets CVPR 2015 Deep Convolutional Neural Fields for Depth Estimation From a Single Image CVPR 2015 Deep Correlation for Matching Images and Text CVPR 2015 Deep Domain Adaptation for Describing People Based on Fine-Grained Clothing Attributes CVPR 2015 Deep Hashing for Compact Binary Codes Learning CVPR 2015 Deep Knowledge Tracing NeurIPS 2015 Deep LAC: Deep Localization, Alignment and Classification for Fine-Grained Recognition CVPR 2015 Deeply Learned Attributes for Crowded Scene Understanding CVPR 2015 Deeply Learned Face Representations Are Sparse, Selective, and Robust CVPR 2015 Deeply Learning the Messages in Message Passing Inference NeurIPS 2015 Deep Multiple Instance Learning for Image Classification and Auto-Annotation CVPR 2015 Deep Neural Networks Are Easily Fooled: High Confidence Predictions for Unrecognizable Images CVPR 2015 Deep Roto-Translation Scattering for Object Classification CVPR 2015 Deep Temporal Sigmoid Belief Networks for Sequence Modeling NeurIPS 2015