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

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Papers (including subtopics)

Recurrent Pixel Embedding for Instance Grouping CVPR 2018 Recursive Neural Structural Correspondence Network for Cross-domain Aspect and Opinion Co-Extraction ACL 2018 Reducing Network Agnostophobia NeurIPS 2018 Refining Pretrained Word Embeddings Using Layer-wise Relevance Propagation EMNLP 2018 Refining Source Representations with Relation Networks for Neural Machine Translation COLING 2018 Refining Synthetic Images with Semantic Layouts by Adversarial Training ACML 2018 REFUEL: Exploring Sparse Features in Deep Reinforcement Learning for Fast Disease Diagnosis NeurIPS 2018 Regular Expression Guided Entity Mention Mining from Noisy Web Data EMNLP 2018 Regularization Learning Networks: Deep Learning for Tabular Datasets NeurIPS 2018 Regularizing Deep Neural Networks with an Ensemble-based Decorrelation Method IJCAI 2018 Regularizing RNNs for Caption Generation by Reconstructing the Past With the Present CVPR 2018 Reinforced Continual Learning NeurIPS 2018 Reinforced Extractive Summarization with Question-Focused Rewards ACL 2018 Reinforced Mnemonic Reader for Machine Reading Comprehension IJCAI 2018 Reinforcement Cutting-Agent Learning for Video Object Segmentation CVPR 2018 Reinforcing Coherence for Sequence to Sequence Model in Dialogue Generation IJCAI 2018 Relative Attribute Learning with Deep Attentive Cross-image Representation ACML 2018 Removing the Feature Correlation Effect of Multiplicative Noise NeurIPS 2018 Representation Learning for Treatment Effect Estimation from Observational Data NeurIPS 2018 Representation Learning on Graphs with Jumping Knowledge Networks ICML 2018 Representation of Word Meaning in the Intermediate Projection Layer of a Neural Language Model EMNLP 2018 Resource Aware Person Re-Identification Across Multiple Resolutions CVPR 2018 Rethinking Feature Distribution for Loss Functions in Image Classification CVPR 2018 Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers ICLR 2018 Retrieval-Based Neural Code Generation EMNLP 2018