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)

Efficient Feature Extraction, Encoding and Classification for Action Recognition CVPR 2014 Factoring Variations in Natural Images with Deep Gaussian Mixture Models NeurIPS 2014 Fast and Robust Archetypal Analysis for Representation Learning CVPR 2014 Feedforward Learning of Mixture Models NeurIPS 2014 Finding Matches in a Haystack: A Max-Pooling Strategy for Graph Matching in the Presence of Outliers CVPR 2014 Fully Automated Non-rigid Segmentation with Distance Regularized Level Set Evolution Initialized and Constrained by Deep-structured Inference CVPR 2014 Generalized Max Pooling CVPR 2014 General Stochastic Networks for Classification NeurIPS 2014 Generative Adversarial Nets NeurIPS 2014 How transferable are features in deep neural networks? NeurIPS 2014 Improved Multimodal Deep Learning with Variation of Information NeurIPS 2014 Improving Semantic Concept Detection through the Dictionary of Visually-distinct Elements CVPR 2014 Inferring Unseen Views of People CVPR 2014 Instance-weighted Transfer Learning of Active Appearance Models CVPR 2014 Is Rotation a Nuisance in Shape Recognition? CVPR 2014 Iterative Neural Autoregressive Distribution Estimator NADE-k NeurIPS 2014 Large-Scale Visual Font Recognition CVPR 2014 Latent Dictionary Learning for Sparse Representation based Classification CVPR 2014 Latent Semantic Representation Learning for Scene Classification ICML 2014 Learning and Transferring Mid-Level Image Representations using Convolutional Neural Networks CVPR 2014 Learning by Stretching Deep Networks ICML 2014 Learning Deep Features for Scene Recognition using Places Database NeurIPS 2014 Learning Distributed Representations for Structured Output Prediction NeurIPS 2014 Learning Everything about Anything: Webly-Supervised Visual Concept Learning CVPR 2014 Learning Fine-grained Image Similarity with Deep Ranking CVPR 2014