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 Low Resource Speech Translation with Data Augmentation and Ensemble Strategies
ACL 2023
Improving multimodal datasets with image captioning
NeurIPS 2023
Improving Named Entity Recognition via Bridge-based Domain Adaptation
ACL 2023
Improving Neural Machine Translation Formality Control with Domain Adaptation and Reranking-based Transductive Learning
ACL 2023
Improving Numeracy by Input Reframing and Quantitative Pre-Finetuning Task
EACL 2023
Improving Online Lane Graph Extraction by Object-Lane Clustering
ICCV 2023
Improving Out-of-distribution Generalization with Indirection Representations
ICLR 2023
Improving Prediction Backward-Compatiblility in NLP Model Upgrade with Gated Fusion
EACL 2023
Improving Reading Comprehension Question Generation with Data Augmentation and Overgenerate-and-rank
ACL 2023
Improving Robotic Tactile Localization Super-resolution via Spatiotemporal Continuity Learning and Overlapping Air Chambers
AAAI 2023
Improving Robust Fariness via Balance Adversarial Training
AAAI 2023
Improving Robustness of Semantic Segmentation to Motion-Blur Using Class-Centric Augmentation
CVPR 2023
Improving Selective Visual Question Answering by Learning From Your Peers
CVPR 2023
Improving Simultaneous Machine Translation with Monolingual Data
AAAI 2023
Improving Stain Invariance of CNNs for Segmentation by Fusing Channel Attention and Domain-Adversarial Training
MIDL 2023
Improving Statistical Fidelity for Neural Image Compression with Implicit Local Likelihood Models
ICML 2023
Improving the Detection of Multilingual Online Attacks with Rich Social Media Data from Singapore
ACL 2023
Improving the Generalizability of Collaborative Dialogue Analysis With Multi-Feature Embeddings
EACL 2023
Improving the imputation of missing data with Markov Blanket discovery
ICLR 2023
Improving the Model Consistency of Decentralized Federated Learning
ICML 2023
Improving the Privacy and Practicality of Objective Perturbation for Differentially Private Linear Learners
NeurIPS 2023
Improving the Robustness of Summarization Models by Detecting and Removing Input Noise
EMNLP 2023
Improving the Transferability of Adversarial Samples by Path-Augmented Method
CVPR 2023
Improving User Controlled Table-To-Text Generation Robustness
EACL 2023
Improving Zero-shot Cross-domain Slot Filling via Transformer-based Slot Semantics Fusion
Interspeech 2023