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)

Memory Consolidation for Contextual Spoken Language Understanding with Dialogue Logistic Inference ACL 2019 Merge and Label: A Novel Neural Network Architecture for Nested NER ACL 2019 Message-Dropout: An Efficient Training Method for Multi-Agent Deep Reinforcement Learning AAAI 2019 MetaCleaner: Learning to Hallucinate Clean Representations for Noisy-Labeled Visual Recognition CVPR 2019 Meta-Inverse Reinforcement Learning with Probabilistic Context Variables NeurIPS 2019 Metalearned Neural Memory NeurIPS 2019 Meta-Learning Convolutional Neural Architectures for Multi-Target Concrete Defect Classification With the COncrete DEfect BRidge IMage Dataset CVPR 2019 Meta Learning for Image Captioning AAAI 2019 Meta-Learning Representations for Continual Learning NeurIPS 2019 Meta-Learning With Differentiable Convex Optimization CVPR 2019 Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual Recognition NeurIPS 2019 Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs EMNLP 2019 Meta-SR: A Magnification-Arbitrary Network for Super-Resolution CVPR 2019 MetaStyle: Three-Way Trade-off among Speed, Flexibility, and Quality in Neural Style Transfer AAAI 2019 Meta-Transfer Learning for Few-Shot Learning CVPR 2019 Metric Learning for Adversarial Robustness NeurIPS 2019 Metric Learning for Image Registration CVPR 2019 MICRON: Multigranular Interaction for Contextualizing RepresentatiON in Non-factoid Question Answering EMNLP 2019 Microsoft Icecaps: An Open-Source Toolkit for Conversation Modeling ACL 2019 MIDAS@SMM4H-2019: Identifying Adverse Drug Reactions and Personal Health Experience Mentions from Twitter ACL 2019 MIGAN: Malware Image Synthesis Using GANs AAAI 2019 Mind Your Language: Abuse and Offense Detection for Code-Switched Languages AAAI 2019 Minimum Divergence vs. Maximum Margin: an Empirical Comparison on Seq2Seq Models ICLR 2019 Mining Entity Synonyms with Efficient Neural Set Generation AAAI 2019 MirrorGAN: Learning Text-To-Image Generation by Redescription CVPR 2019