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)

Multimodal Named Entity Disambiguation for Noisy Social Media Posts ACL 2018 Multimodal Named Entity Recognition for Short Social Media Posts NAACL 2018 Multimodal Neural Machine Translation for Low-resource Language Pairs using Synthetic Data ACL 2018 Multimodal Visual Concept Learning With Weakly Supervised Techniques CVPR 2018 Multinomial Adversarial Networks for Multi-Domain Text Classification NAACL 2018 Multi-Oriented Scene Text Detection via Corner Localization and Region Segmentation CVPR 2018 Multi-paraphrase Augmentation to Leverage Neural Caption Translation EMNLP 2018 Multiple Instance Deep Learning for Weakly Supervised Small-Footprint Audio Event Detection Interspeech 2018 Multi-Reference Training with Pseudo-References for Neural Translation and Text Generation EMNLP 2018 Multi-representation ensembles and delayed SGD updates improve syntax-based NMT ACL 2018 Multi-Scale Location-Aware Kernel Representation for Object Detection CVPR 2018 Multi-Source Domain Adaptation with Mixture of Experts EMNLP 2018 Multi-Source Neural Machine Translation with Data Augmentation EMNLP 2018 Multistage Adversarial Losses for Pose-Based Human Image Synthesis CVPR 2018 Multi-Task Adversarial Network for Disentangled Feature Learning CVPR 2018 Multi-Task Label Embedding for Text Classification EMNLP 2018 Multi-task Layout Analysis for Historical Handwritten Documents Using Fully Convolutional Networks IJCAI 2018 Multi-Task Learning as Multi-Objective Optimization NeurIPS 2018 Multi-task learning for historical text normalization: Size matters ACL 2018 Multi-Task Learning of Speech Recognition and Speech Synthesis Parameters for Ultrasound-based Silent Speech Interfaces Interspeech 2018 Multitask Parsing Across Semantic Representations ACL 2018 Multi-View Consistency as Supervisory Signal for Learning Shape and Pose Prediction CVPR 2018 Music Genre Recognition Using Deep Neural Networks and Transfer Learning Interspeech 2018 Named Entity Recognition With Parallel Recurrent Neural Networks ACL 2018 Narrative Modeling with Memory Chains and Semantic Supervision ACL 2018