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 Object-Centric Representations of Multi-Object Scenes from Multiple Views NeurIPS 2020 Learning of Discrete Graphical Models with Neural Networks NeurIPS 2020 Learning Optimal Representations with the Decodable Information Bottleneck NeurIPS 2020 Learning Part Generation and Assembly for Structure-Aware Shape Synthesis AAAI 2020 Learning Physical Common Sense as Knowledge Graph Completion via BERT Data Augmentation and Constrained Tucker Factorization EMNLP 2020 Learning Physics-Guided Face Relighting Under Directional Light CVPR 2020 Learning Predictive Representations for Deformable Objects Using Contrastive Estimation CoRL 2020 Learning Relationships between Text, Audio, and Video via Deep Canonical Correlation for Multimodal Language Analysis AAAI 2020 Learning Representations by Predicting Bags of Visual Words CVPR 2020 Learning representations for binary-classification without backpropagation ICLR 2020 Learning Representations from Audio-Visual Spatial Alignment NeurIPS 2020 Learning Saliency-Free Model with Generic Features for Weakly-Supervised Semantic Segmentation AAAI 2020 Learning Saliency Propagation for Semi-Supervised Instance Segmentation CVPR 2020 Learning Selective Self-Mutual Attention for RGB-D Saliency Detection CVPR 2020 Learning Self-Correctable Policies and Value Functions from Demonstrations with Negative Sampling ICLR 2020 Learning Situational Driving CVPR 2020 Learning Sparse Sharing Architectures for Multiple Tasks AAAI 2020 Learning Spoken Language Representations with Neural Lattice Language Modeling ACL 2020 Learning Student Networks with Few Data AAAI 2020 Learning Temporal Co-Attention Models for Unsupervised Video Action Localization CVPR 2020 Learning Texture Invariant Representation for Domain Adaptation of Semantic Segmentation CVPR 2020 Learning The Difference That Makes A Difference With Counterfactually-Augmented Data ICLR 2020 Learning the Graphical Structure of Electronic Health Records with Graph Convolutional Transformer AAAI 2020 Learning the Redundancy-Free Features for Generalized Zero-Shot Object Recognition CVPR 2020 Learning to Ask More: Semi-Autoregressive Sequential Question Generation under Dual-Graph Interaction ACL 2020