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

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Papers (including subtopics)

Scene Graph Generation With External Knowledge and Image Reconstruction CVPR 2019 Scene Parsing via Integrated Classification Model and Variance-Based Regularization CVPR 2019 Scientific Article Search System Based on Discourse Facet Representation AAAI 2019 ScispaCy: Fast and Robust Models for Biomedical Natural Language Processing ACL 2019 SCOPS: Self-Supervised Co-Part Segmentation CVPR 2019 Scoring Sentence Singletons and Pairs for Abstractive Summarization ACL 2019 ScratchDet: Training Single-Shot Object Detectors From Scratch CVPR 2019 SDC-causing Error Detection Based on Lightweight Vulnerability Prediction ACML 2019 SDRL: Interpretable and Data-Efficient Deep Reinforcement Learning Leveraging Symbolic Planning AAAI 2019 Seamless Scene Segmentation CVPR 2019 Search-Guided, Lightly-Supervised Training of Structured Prediction Energy Networks NeurIPS 2019 Searching for Effective Neural Extractive Summarization: What Works and What’s Next ACL 2019 Second-order Co-occurrence Sensitivity of Skip-Gram with Negative Sampling ACL 2019 Seeded self-play for language learning EMNLP 2019 See More, Know More: Unsupervised Video Object Segmentation With Co-Attention Siamese Networks CVPR 2019 Segmentation-Driven 6D Object Pose Estimation CVPR 2019 Segregated Temporal Assembly Recurrent Networks for Weakly Supervised Multiple Action Detection AAAI 2019 Self-Attention Architectures for Answer-Agnostic Neural Question Generation ACL 2019 Self-Calibrating Deep Photometric Stereo Networks CVPR 2019 Self-Critical N-Step Training for Image Captioning CVPR 2019 Self-Critical Reasoning for Robust Visual Question Answering NeurIPS 2019 Self-Ensembling Attention Networks: Addressing Domain Shift for Semantic Segmentation AAAI 2019 SelFlow: Self-Supervised Learning of Optical Flow CVPR 2019 Self-Supervised 3D Hand Pose Estimation Through Training by Fitting CVPR 2019 Self-Supervised Adaptation of High-Fidelity Face Models for Monocular Performance Tracking CVPR 2019