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 to Sample CVPR 2019 Learning to Select, Track, and Generate for Data-to-Text ACL 2019 Learning to Separate Multiple Illuminants in a Single Image CVPR 2019 Learning to Steer by Mimicking Features from Heterogeneous Auxiliary Networks AAAI 2019 Learning to Teach in Cooperative Multiagent Reinforcement Learning AAAI 2019 Learning to Transfer Examples for Partial Domain Adaptation CVPR 2019 Learning to Transfer Relational Representations through Analogy AAAI 2019 Learning to Walk Via Deep Reinforcement Learning RSS 2019 Learning Transferable Feature Representations Using Neural Networks ACL 2019 Learning Transferable Self-Attentive Representations for Action Recognition in Untrimmed Videos with Weak Supervision AAAI 2019 Learning Uniform Semantic Features for Natural Language and Programming Language Globally, Locally and Sequentially AAAI 2019 Learning Unsupervised Video Object Segmentation Through Visual Attention CVPR 2019 Learning Video Representations From Correspondence Proposals CVPR 2019 Learning View Priors for Single-View 3D Reconstruction CVPR 2019 Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks ICLR 2019 Learning With Batch-Wise Optimal Transport Loss for 3D Shape Recognition CVPR 2019 Learning with Limited Data for Multilingual Reading Comprehension EMNLP 2019 Learning Without Memorizing CVPR 2019 Learning Words by Drawing Images CVPR 2019 Learn to Scale: Generating Multipolar Normalized Density Maps for Crowd Counting ICCV 2019 Less Is More: Learning Highlight Detection From Video Duration CVPR 2019 Levenshtein Transformer NeurIPS 2019 Leveraging Experience in Lazy Search RSS 2019 Leveraging Hierarchical Category Knowledge for Data-Imbalanced Multi-Label Diagnostic Text Understanding EMNLP 2019 Leveraging Textual Specifications for Grammar-Based Fuzzing of Network Protocols AAAI 2019