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 nonlinear level sets for dimensionality reduction in function approximation NeurIPS 2019 Learning Not to Learn: Training Deep Neural Networks With Biased Data CVPR 2019 Learning One-hidden-layer ReLU Networks via Gradient Descent AISTATS 2019 Learning Only from Relevant Keywords and Unlabeled Documents EMNLP 2019 Learning Options with Interest Functions AAAI 2019 Learning Perceptual Inference by Contrasting NeurIPS 2019 Learning Personalized Modular Network Guided by Structured Knowledge CVPR 2019 Learning Representations by Maximizing Mutual Information Across Views NeurIPS 2019 Learning Representations from Imperfect Time Series Data via Tensor Rank Regularization ACL 2019 Learning Representations in Model-Free Hierarchical Reinforcement Learning AAAI 2019 Learning Representations of Sets through Optimized Permutations ICLR 2019 Learning Resolution-Invariant Deep Representations for Person Re-Identification AAAI 2019 Learning Resource Allocation and Pricing for Cloud Profit Maximization AAAI 2019 Learning Robust Global Representations by Penalizing Local Predictive Power NeurIPS 2019 Learning Semantic Representations for Novel Words: Leveraging Both Form and Context AAAI 2019 Learning Semantic Segmentation From Synthetic Data: A Geometrically Guided Input-Output Adaptation Approach CVPR 2019 Learning Spatio-Temporal Representation With Local and Global Diffusion CVPR 2019 Learning the Depths of Moving People by Watching Frozen People CVPR 2019 Learning to Abstract for Memory-augmented Conversational Response Generation ACL 2019 Learning to Adapt for Stereo CVPR 2019 Learning to Adaptively Scale Recurrent Neural Networks AAAI 2019 Learning to Ask Unanswerable Questions for Machine Reading Comprehension ACL 2019 Learning to Augment with Feature Side-information ACML 2019 Learning to combine Grammatical Error Corrections ACL 2019 Learning to Communicate and Solve Visual Blocks-World Tasks AAAI 2019