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)

Mean-Variance Loss for Deep Age Estimation From a Face CVPR 2018 Measuring Issue Ownership using Word Embeddings EMNLP 2018 MegaDepth: Learning Single-View Depth Prediction From Internet Photos CVPR 2018 Memory Time Span in LSTMs for Multi-Speaker Source Separation Interspeech 2018 MetaAnchor: Learning to Detect Objects with Customized Anchors NeurIPS 2018 MetaGAN: An Adversarial Approach to Few-Shot Learning NeurIPS 2018 Meta-Learning and Universality: Deep Representations and Gradient Descent can Approximate any Learning Algorithm ICLR 2018 MGAN: Training Generative Adversarial Nets with Multiple Generators ICLR 2018 MiCT: Mixed 3D/2D Convolutional Tube for Human Action Recognition CVPR 2018 MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare NeurIPS 2018 Min-Entropy Latent Model for Weakly Supervised Object Detection CVPR 2018 Mining on Manifolds: Metric Learning Without Labels CVPR 2018 Missing Slice Recovery for Tensors Using a Low-Rank Model in Embedded Space CVPR 2018 Mix and Match Networks: Encoder-Decoder Alignment for Zero-Pair Image Translation CVPR 2018 Mixed Feelings: Natural Text Generation with Variable, Coexistent Affective Categories ACL 2018 Mix & Match Agent Curricula for Reinforcement Learning ICML 2018 MoCoGAN: Decomposing Motion and Content for Video Generation CVPR 2018 Modeling Coherence for Neural Machine Translation with Dynamic and Topic Caches COLING 2018 Modeling Noisiness to Recognize Named Entities using Multitask Neural Networks on Social Media NAACL 2018 Modeling Online Discourse with Coupled Distributed Topics EMNLP 2018 Modeling Others using Oneself in Multi-Agent Reinforcement Learning ICML 2018 Modeling Sentiment Association in Discourse for Humor Recognition ACL 2018 Modelling and unsupervised learning of symmetric deformable object categories NeurIPS 2018 Modern Neural Networks Generalize on Small Data Sets NeurIPS 2018 MoNet: Moments Embedding Network CVPR 2018