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)

RefNet: A Reference-Aware Network for Background Based Conversation AAAI 2020 Reformulating Unsupervised Style Transfer as Paraphrase Generation EMNLP 2020 Region Focus Network for Joint Optic Disc and Cup Segmentation AAAI 2020 Regularization of Distinct Strategies for Unsupervised Question Generation EMNLP 2020 Regularized Training and Tight Certification for Randomized Smoothed Classifier with Provable Robustness AAAI 2020 Regularizing Class-Wise Predictions via Self-Knowledge Distillation CVPR 2020 Regularizing CNN Transfer Learning With Randomised Regression CVPR 2020 Regularizing Discriminative Capability of CGANs for Semi-Supervised Generative Learning CVPR 2020 Regularizing Towards Permutation Invariance In Recurrent Models NeurIPS 2020 Reinforced active learning for image segmentation ICLR 2020 Reinforced Curriculum Learning on Pre-Trained Neural Machine Translation Models AAAI 2020 Reinforced Feature Points: Optimizing Feature Detection and Description for a High-Level Task CVPR 2020 Reinforcement Learning Based Meta-Path Discovery in Large-Scale Heterogeneous Information Networks AAAI 2020 Reinforcement Learning from Imperfect Demonstrations under Soft Expert Guidance AAAI 2020 Reinforcement Learning with Videos: Combining Offline Observations with Interaction CoRL 2020 Reinforcing an Image Caption Generator Using Off-Line Human Feedback AAAI 2020 Relational Learning for Joint Head and Human Detection AAAI 2020 Relational Prototypical Network for Weakly Supervised Temporal Action Localization AAAI 2020 Relation Extraction with Contextualized Relation Embedding (CRE) EMNLP 2020 Relative gradient optimization of the Jacobian term in unsupervised deep learning NeurIPS 2020 Reliability Does Matter: An End-to-End Weakly Supervised Semantic Segmentation Approach AAAI 2020 RepPoints v2: Verification Meets Regression for Object Detection NeurIPS 2020 Representation Learning for Discovering Phonemic Tone Contours ACL 2020 Representation Learning for Information Extraction from Form-like Documents ACL 2020 Representation Learning for Integrating Multi-domain Outcomes to Optimize Individualized Treatment NeurIPS 2020