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 Structured Gaussians To Approximate Deep Ensembles CVPR 2022 Learning Structure from the Ground up---Hierarchical Representation Learning by Chunking NeurIPS 2022 Learning Symmetric Embeddings for Equivariant World Models ICML 2022 Learning Symmetric Rules with SATNet NeurIPS 2022 Learning Temporally and Semantically Consistent Unpaired Video-to-Video Translation through Pseudo-Supervision from Synthetic Optical Flow AAAI 2022 Learning Temporal Point Processes for Efficient Retrieval of Continuous Time Event Sequences AAAI 2022 Learning Tensor Representations for Meta-Learning AISTATS 2022 Learning the Dynamics of Visual Relational Reasoning via Reinforced Path Routing AAAI 2022 Learning the Physics of Particle Transport via Transformers AAAI 2022 Learning To Answer Questions in Dynamic Audio-Visual Scenarios CVPR 2022 Learning To Anticipate Future With Dynamic Context Removal CVPR 2022 Learning to Assemble Geometric Shapes IJCAI 2022 Learning to Branch with Tree MDPs NeurIPS 2022 Learning to Deblur Using Light Field Generated and Real Defocus Images CVPR 2022 Learning to Detect 3D Facial Landmarks via Heatmap Regression with Graph Convolutional Network AAAI 2022 Learning To Detect Mobile Objects From LiDAR Scans Without Labels CVPR 2022 Learning to Discover and Detect Objects NeurIPS 2022 Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs NeurIPS 2022 Learning to Estimate and Refine Fluid Motion with Physical Dynamics ICML 2022 Learning to Estimate Object Poses without Real Image Annotations IJCAI 2022 Learning to Evolve on Dynamic Graphs (Student Abstract) AAAI 2022 Learning to Find Proofs and Theorems by Learning to Refine Search Strategies: The Case of Loop Invariant Synthesis NeurIPS 2022 Learning to Generate Examples for Semantic Processing Tasks NAACL 2022 Learning to Generate Image Source-Agnostic Universal Adversarial Perturbations IJCAI 2022 Learning To Generate Line Drawings That Convey Geometry and Semantics CVPR 2022