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)

Inference Fusion with Associative Semantics for Unseen Object Detection AAAI 2021 Inferring Emotion from Large-scale Internet Voice Data: A Semi-supervised Curriculum Augmentation based Deep Learning Approach AAAI 2021 Inflate and Shrink:Enriching and Reducing Interactions for Fast Text-Image Retrieval EMNLP 2021 Influence-Balanced Loss for Imbalanced Visual Classification ICCV 2021 Influence Tuning: Demoting Spurious Correlations via Instance Attribution and Instance-Driven Updates EMNLP 2021 Information-Theoretic Regularization for Multi-Source Domain Adaptation ICCV 2021 Informative and Consistent Correspondence Mining for Cross-Domain Weakly Supervised Object Detection CVPR 2021 Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting AAAI 2021 Initiative Defense against Facial Manipulation AAAI 2021 In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness ICLR 2021 In Search of Lost Domain Generalization ICLR 2021 Instabilities of Offline RL with Pre-Trained Neural Representation ICML 2021 Instance-adaptive training with noise-robust losses against noisy labels EMNLP 2021 Instance-Conditional Knowledge Distillation for Object Detection NeurIPS 2021 Instance Level Affinity-Based Transfer for Unsupervised Domain Adaptation CVPR 2021 Instance Localization for Self-Supervised Detection Pretraining CVPR 2021 Instance Mining with Class Feature Banks for Weakly Supervised Object Detection AAAI 2021 Instance Similarity Learning for Unsupervised Feature Representation ICCV 2021 Instance-Wise Hard Negative Example Generation for Contrastive Learning in Unpaired Image-to-Image Translation ICCV 2021 Integrated Latent Heterogeneity and Invariance Learning in Kernel Space NeurIPS 2021 Integrating Personalized PageRank into Neural Word Sense Disambiguation EMNLP 2021 Integrating Pre-trained Model into Rule-based Dialogue Management AAAI 2021 Integrating Visuospatial, Linguistic, and Commonsense Structure into Story Visualization EMNLP 2021 Intentonomy: A Dataset and Study Towards Human Intent Understanding CVPR 2021 Interactive Self-Training With Mean Teachers for Semi-Supervised Object Detection CVPR 2021