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)

SCA-CNN: Spatial and Channel-Wise Attention in Convolutional Networks for Image Captioning CVPR 2017 Scale-Aware Face Detection CVPR 2017 ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes CVPR 2017 SCC: Semantic Context Cascade for Efficient Action Detection CVPR 2017 Scene Graph Generation by Iterative Message Passing CVPR 2017 Search-based Neural Structured Learning for Sequential Question Answering ACL 2017 Seeing What Is Not There: Learning Context to Determine Where Objects Are Missing CVPR 2017 See the Forest for the Trees: Joint Spatial and Temporal Recurrent Neural Networks for Video-Based Person Re-Identification CVPR 2017 SEF@UHH at SemEval-2017 Task 1: Unsupervised Knowledge-Free Semantic Textual Similarity via Paragraph Vector SemEval 2017 Segmentation-Free Word Embedding for Unsegmented Languages EMNLP 2017 Segment-Level Neural Conditional Random Fields for Named Entity Recognition IJCNLP 2017 Selective Classification for Deep Neural Networks NeurIPS 2017 Selective Encoding for Abstractive Sentence Summarization ACL 2017 Self-Critical Sequence Training for Image Captioning CVPR 2017 Self-Normalizing Neural Networks NeurIPS 2017 Self-paced Compensatory Deep Boltzmann Machine for Semi-Structured Document Embedding IJCAI 2017 Self-Supervised Intrinsic Image Decomposition NeurIPS 2017 Self-supervised Learning of Motion Capture NeurIPS 2017 Self-Supervised Learning of Visual Features Through Embedding Images Into Text Topic Spaces CVPR 2017 Self-Supervised Video Representation Learning With Odd-One-Out Networks CVPR 2017 Semantically Consistent Regularization for Zero-Shot Recognition CVPR 2017 Semantic Autoencoder for Zero-Shot Learning CVPR 2017 Semantic Compositional Networks for Visual Captioning CVPR 2017 Semi-supervised Convolutional Neural Networks for Identifying Wi-Fi Interference Sources ACML 2017 Semi-Supervised Deep Learning for Monocular Depth Map Prediction CVPR 2017