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

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'25

Papers (including subtopics)

Robust Object Co-detection CVPR 2013 Robust Region Grouping via Internal Patch Statistics CVPR 2013 Self-Paced Learning for Long-Term Tracking CVPR 2013 Semi-supervised Learning of Feature Hierarchies for Object Detection in a Video CVPR 2013 Separating Signal from Noise Using Patch Recurrence across Scales CVPR 2013 Sparse Output Coding for Large-Scale Visual Recognition CVPR 2013 Sparse Quantization for Patch Description CVPR 2013 Sparsity-Based Generalization Bounds for Predictive Sparse Coding ICML 2013 Stochastic Ratio Matching of RBMs for Sparse High-Dimensional Inputs NeurIPS 2013 Subspace Interpolation via Dictionary Learning for Unsupervised Domain Adaptation CVPR 2013 Supervised Sparse Analysis and Synthesis Operators NeurIPS 2013 Top-Down Regularization of Deep Belief Networks NeurIPS 2013 Training and Analysing Deep Recurrent Neural Networks NeurIPS 2013 Translating Embeddings for Modeling Multi-relational Data NeurIPS 2013 Understanding Dropout NeurIPS 2013 Unsupervised Joint Object Discovery and Segmentation in Internet Images CVPR 2013 Watching Unlabeled Video Helps Learn New Human Actions from Very Few Labeled Snapshots CVPR 2013 Wavelets on Graphs via Deep Learning NeurIPS 2013 Weakly Supervised Learning for Attribute Localization in Outdoor Scenes CVPR 2013 What Are the Invariant Occlusive Components of Image Patches? A Probabilistic Generative Approach NeurIPS 2013 What Makes a Patch Distinct? CVPR 2013 Write a Classifier: Zero-Shot Learning Using Purely Textual Descriptions ICCV 2013 Zero-Shot Learning Through Cross-Modal Transfer NeurIPS 2013 A Better Way to Pretrain Deep Boltzmann Machines NeurIPS 2012 Accuracy at the Top NeurIPS 2012