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)

Recursive Context-Aware Lexical Simplification EMNLP 2019 Recursive Visual Attention in Visual Dialog CVPR 2019 Recycling a Pre-trained BERT Encoder for Neural Machine Translation EMNLP 2019 Reducing Gender Bias in Word-Level Language Models with a Gender-Equalizing Loss Function ACL 2019 Reducing Uncertainty in Undersampled MRI Reconstruction With Active Acquisition CVPR 2019 Reducing Word Omission Errors in Neural Machine Translation: A Contrastive Learning Approach ACL 2019 Re-Evaluating ADEM: A Deeper Look at Scoring Dialogue Responses AAAI 2019 Reference Network for Neural Machine Translation ACL 2019 Refine and Distill: Exploiting Cycle-Inconsistency and Knowledge Distillation for Unsupervised Monocular Depth Estimation CVPR 2019 Reflection Separation using a Pair of Unpolarized and Polarized Images NeurIPS 2019 REflex: Flexible Framework for Relation Extraction in Multiple Domains ACL 2019 Region Mutual Information Loss for Semantic Segmentation NeurIPS 2019 Regression and Classification for Direction-of-Arrival Estimation with Convolutional Recurrent Neural Networks Interspeech 2019 Regression or classification? Automated Essay Scoring for Norwegian ACL 2019 Regret Bounds for Thompson Sampling in Episodic Restless Bandit Problems NeurIPS 2019 RegularFace: Deep Face Recognition via Exclusive Regularization CVPR 2019 Regularized Anderson Acceleration for Off-Policy Deep Reinforcement Learning NeurIPS 2019 Regularized Evolution for Image Classifier Architecture Search AAAI 2019 Regularized Learning for Domain Adaptation under Label Shifts ICLR 2019 Regularizing Activation Distribution for Training Binarized Deep Networks CVPR 2019 Regularizing Fully Convolutional Networks for Time Series Classification by Decorrelating Filters AAAI 2019 Re-Identification Supervised Texture Generation CVPR 2019 Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation CVPR 2019 Reinforced Dynamic Reasoning for Conversational Question Generation ACL 2019 Reinforcement Learning for Improved Low Resource Dialogue Generation AAAI 2019