Application Areas
34,437 papers (4 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Domain Adaptation (9,897)
Efficient Computing (8,226)
Data Augmentation (3,648)
Fairness (3,574)
Knowledge Distillation (3,219)
Privacy (3,022)
Domain Generalization (1,972)
Model Compression (1,736)
Risk Management (1,119)
Model Merging (592)
Recommender Systems (343)
Information Retrieval (249)
Text Classification (144)
Text Processing (2)
Papers per year
1
3
5
5
4
19
24
28
26
35
42
55
142
116
147
330
517
1,020
1,828
2,498
3,411
3,854
5,063
6,422
7,176
1,666
2000
'5
'10
'15
'20
'25
Papers (including subtopics)
Learning Canonical 3D Object Representation for Fine-Grained Recognition
ICCV 2021
Learning Causal Representation for Training Cross-Domain Pose Estimator via Generative Interventions
ICCV 2021
Learning Compact Metrics for MT
EMNLP 2021
Learning Compatible Embeddings
ICCV 2021
Learning Conditional Knowledge Distillation for Degraded-Reference Image Quality Assessment
ICCV 2021
Learning Cross-Domain Correspondence for Control with Dynamics Cycle-Consistency
ICLR 2021
Learning Cross-Modal Contrastive Features for Video Domain Adaptation
ICCV 2021
Learning Cycle-Consistent Cooperative Networks via Alternating MCMC Teaching for Unsupervised Cross-Domain Translation
AAAI 2021
Learning Data Augmentation Schedules for Natural Language Processing
EMNLP 2021
Learning Data Augmentation With Online Bilevel Optimization for Image Classification
WACV 2021
Learning Debiased Representation via Disentangled Feature Augmentation
NeurIPS 2021
Learning Disentangled Representation for Fair Facial Attribute Classification via Fairness-aware Information Alignment
AAAI 2021
Learning Distilled Collaboration Graph for Multi-Agent Perception
NeurIPS 2021
Learning Domain Invariant Representations in Goal-conditioned Block MDPs
NeurIPS 2021
Learning Dynamic Network Using a Reuse Gate Function in Semi-Supervised Video Object Segmentation
CVPR 2021
Learning Embeddings from Knowledge Graphs With Numeric Edge Attributes
IJCAI 2021
Learning Fair Scoring Functions: Bipartite Ranking under ROC-based Fairness Constraints
AISTATS 2021
Learning Feature Weights using Reward Modeling for Denoising Parallel Corpora
EMNLP 2021
Learning Frequency-Aware Dynamic Network for Efficient Super-Resolution
ICCV 2021
Learning Frequency Domain Approximation for Binary Neural Networks
NeurIPS 2021
Learning from Biased Data: A Semi-Parametric Approach
ICML 2021
Learning from History for Byzantine Robust Optimization
ICML 2021
Learning from Multiple Noisy Augmented Data Sets for Better Cross-Lingual Spoken Language Understanding
EMNLP 2021
Learning From the Master: Distilling Cross-Modal Advanced Knowledge for Lip Reading
CVPR 2021
Learning from the Worst: Dynamically Generated Datasets to Improve Online Hate Detection
ACL 2021