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)

Learning Relation Alignment for Calibrated Cross-modal Retrieval ACL 2021 Learning Representations for Incomplete Time Series Clustering AAAI 2021 Learning Scene Structure Guidance via Cross-Task Knowledge Transfer for Single Depth Super-Resolution CVPR 2021 Learning Self-Consistency for Deepfake Detection ICCV 2021 Learning Semantic-Aware Dynamics for Video Prediction CVPR 2021 Learning Semantic Context from Normal Samples for Unsupervised Anomaly Detection AAAI 2021 Learning Semantic Person Image Generation by Region-Adaptive Normalization CVPR 2021 Learning Spatial-Semantic Relationship for Facial Attribute Recognition With Limited Labeled Data CVPR 2021 Learning State Representations from Random Deep Action-conditional Predictions NeurIPS 2021 Learning Statistical Texture for Semantic Segmentation CVPR 2021 Learning Stochastic Behaviour from Aggregate Data ICML 2021 Learning Student-Friendly Teacher Networks for Knowledge Distillation NeurIPS 2021 Learning Student Networks in the Wild CVPR 2021 Learning Syntactic Dense Embedding with Correlation Graph for Automatic Readability Assessment ACL 2021 Learning Task-Distribution Reward Shaping with Meta-Learning AAAI 2021 Learning Tensor Low-Rank Prior for Hyperspectral Image Reconstruction CVPR 2021 Learning Term Embeddings for Lexical Taxonomies AAAI 2021 Learning the Best Pooling Strategy for Visual Semantic Embedding CVPR 2021 Learning the Dynamics of Time Delay Systems with Trainable Delays L4DC 2021 Learning the Non-Differentiable Optimization for Blind Super-Resolution CVPR 2021 Learning the Pareto Front with Hypernetworks ICLR 2021 Learning the Predictability of the Future CVPR 2021 Learning the Superpixel in a Non-Iterative and Lifelong Manner CVPR 2021 Learning To Aggregate and Personalize 3D Face From In-the-Wild Photo Collection CVPR 2021 Learning to Answer Psychological Questionnaire for Personality Detection EMNLP 2021