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)

ReadOnce Transformers: Reusable Representations of Text for Transformers ACL 2021 ReAgent: Point Cloud Registration Using Imitation and Reinforcement Learning CVPR 2021 Reality Transform Adversarial Generators for Image Splicing Forgery Detection and Localization ICCV 2021 Real-Time Video Inference on Edge Devices via Adaptive Model Streaming ICCV 2021 ReasonBERT: Pre-trained to Reason with Distant Supervision EMNLP 2021 REBEL: Relation Extraction By End-to-end Language generation EMNLP 2021 Rebooting ACGAN: Auxiliary Classifier GANs with Stable Training NeurIPS 2021 RECALL: Replay-Based Continual Learning in Semantic Segmentation ICCV 2021 Recent Advances in Adversarial Training for Adversarial Robustness IJCAI 2021 Reciprocal Landmark Detection and Tracking With Extremely Few Annotations CVPR 2021 Recognizing Multimodal Entailment ACL 2021 Recognizing Vector Graphics without Rasterization NeurIPS 2021 Reconsidering Representation Alignment for Multi-View Clustering CVPR 2021 Reconstruction Attack on Instance Encoding for Language Understanding EMNLP 2021 Recorrupted-to-Recorrupted: Unsupervised Deep Learning for Image Denoising CVPR 2021 Rectification-Based Knowledge Retention for Continual Learning CVPR 2021 Rectifying the Shortcut Learning of Background for Few-Shot Learning NeurIPS 2021 Recurrent Bayesian Classifier Chains for Exact Multi-Label Classification NeurIPS 2021 Recurrent Multi-View Alignment Network for Unsupervised Surface Registration CVPR 2021 Reducing Domain Gap by Reducing Style Bias CVPR 2021 Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation NeurIPS 2021 Re-embedding Difficult Samples via Mutual Information Constrained Semantically Oversampling for Imbalanced Text Classification EMNLP 2021 Re-Energizing Domain Discriminator With Sample Relabeling for Adversarial Domain Adaptation ICCV 2021 Re-entry Prediction for Online Conversations via Self-Supervised Learning EMNLP 2021 Refine and Imitate: Reducing Repetition and Inconsistency in Persuasion Dialogues via Reinforcement Learning and Human Demonstration EMNLP 2021