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)
Improving Span Representation for Domain-adapted Coreference Resolution
EMNLP 2021
Improving Stance Detection with Multi-Dataset Learning and Knowledge Distillation
EMNLP 2021
Improving Synonym Recommendation Using Sentence Context
EMNLP 2021
Improving the Efficiency and Effectiveness for BERT-based Entity Resolution
AAAI 2021
Improving the Performance-Compatibility Tradeoff with Personalized Objective Functions
AAAI 2021
Improving the Performance-Compatibility Tradeoff with Personalized Objective Functions (Student Abstract)
AAAI 2021
Improving the Robustness of QA Models to Challenge Sets with Variational Question-Answer Pair Generation
ACL 2021
Improving Tree-Structured Decoder Training for Code Generation via Mutual Learning
AAAI 2021
Improving Unsupervised Image Clustering With Robust Learning
CVPR 2021
Improving Weakly Supervised Visual Grounding by Contrastive Knowledge Distillation
CVPR 2021
Improving Zero-Shot Cross-Lingual Transfer Learning via Robust Training
EMNLP 2021
IMS’ Systems for the IWSLT 2021 Low-Resource Speech Translation Task
ACL 2021
iNAS: Integral NAS for Device-Aware Salient Object Detection
ICCV 2021
In-Batch Negatives for Knowledge Distillation with Tightly-Coupled Teachers for Dense Retrieval
ACL 2021
Incentivizing Truthfulness Through Audits in Strategic Classification
AAAI 2021
Incorporating causal graphical prior knowledge into predictive modeling via simple data augmentation
UAI 2021
Incorporating External Knowledge to Enhance Tabular Reasoning
NAACL 2021
Incorporating medical knowledge in BERT for clinical relation extraction
EMNLP 2021
Incorporating Queueing Dynamics into Schedule-Driven Traffic Control
IJCAI 2021
Incorporating Symmetry into Deep Dynamics Models for Improved Generalization
ICLR 2021
Incorporating Unlabeled Data into Distributionally Robust Learning
JMLR 2021
IncreACO: Incrementally Learned Automatic Check-Out With Photorealistic Exemplar Augmentation
WACV 2021
Increasing Faithfulness in Knowledge-Grounded Dialogue with Controllable Features
ACL 2021
Increasing Robustness to Spurious Correlations using Forgettable Examples
EACL 2021
In-Database Regression in Input Sparsity Time
ICML 2021