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)

Multi-Source Weak Supervision for Saliency Detection CVPR 2019 Multi-Step Prediction of Occupancy Grid Maps With Recurrent Neural Networks CVPR 2019 Multi-step Reasoning via Recurrent Dual Attention for Visual Dialog ACL 2019 Multi-Task Deep Neural Networks for Natural Language Understanding ACL 2019 Multi-Task Deep Reinforcement Learning with PopArt AAAI 2019 Multi-Task Learning of Hierarchical Vision-Language Representation CVPR 2019 Multi-Task Learning with Language Modeling for Question Generation EMNLP 2019 Multi-Task, Multi-Channel, Multi-Input Learning for Mental Illness Detection using Social Media Text EMNLP 2019 Multi-task Pairwise Neural Ranking for Hashtag Segmentation ACL 2019 Multi-Task Self-Supervised Object Detection via Recycling of Bounding Box Annotations CVPR 2019 Multi-Task Semantic Dependency Parsing with Policy Gradient for Learning Easy-First Strategies ACL 2019 Multi-Task Stance Detection with Sentiment and Stance Lexicons EMNLP 2019 Multi-turn Dialogue Response Generation in an Adversarial Learning Framework ACL 2019 Multivariate Triangular Quantile Maps for Novelty Detection NeurIPS 2019 Multiview 2D/3D Rigid Registration via a Point-Of-Interest Network for Tracking and Triangulation CVPR 2019 Multi-View Anomaly Detection: Neighborhood in Locality Matters AAAI 2019 Multi-View Domain Adapted Sentence Embeddings for Low-Resource Unsupervised Duplicate Question Detection EMNLP 2019 MUREL: Multimodal Relational Reasoning for Visual Question Answering CVPR 2019 Mutual Learning of Complementary Networks via Residual Correction for Improving Semi-Supervised Classification CVPR 2019 “My Way of Telling a Story”: Persona based Grounded Story Generation ACL 2019 NAOMI: Non-Autoregressive Multiresolution Sequence Imputation NeurIPS 2019 Natural Language Generation for Effective Knowledge Distillation EMNLP 2019 Naver Labs Europe’s Systems for the WMT19 Machine Translation Robustness Task ACL 2019 NCUEE at MEDIQA 2019: Medical Text Inference Using Ensemble BERT-BiLSTM-Attention Model ACL 2019 NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction CVPR 2019