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)
Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation
ICLR 2023
Addressing the speed-accuracy simulation trade-off for adaptive spiking neurons
NeurIPS 2023
Addressing Weak Decision Boundaries in Image Classification by Leveraging Web Search and Generative Models
IJCAI 2023
A Deep Instance Generative Framework for MILP Solvers Under Limited Data Availability
NeurIPS 2023
A Deep Learning Based Framework for Joint Image Registration and Segmentation of Brain Metastases on Magnetic Resonance Imaging
MLHC 2023
A deep learning method trained on synthetic data for digital breast tomosynthesis reconstruction
MIDL 2023
ADEPT: A DEbiasing PrompT Framework
AAAI 2023
ADGym: Design Choices for Deep Anomaly Detection
NeurIPS 2023
A Dialogue System for Assessing Activities of Daily Living: Improving Consistency with Grounded Knowledge
ACL 2023
A Distribution Optimization Framework for Confidence Bounds of Risk Measures
ICML 2023
Adjustment and Alignment for Unbiased Open Set Domain Adaptation
CVPR 2023
AD-KD: Attribution-Driven Knowledge Distillation for Language Model Compression
ACL 2023
A Domain-Transfer Meta Task Design Paradigm for Few-Shot Slot Tagging
AAAI 2023
AD-TUNING: An Adaptive CHILD-TUNING Approach to Efficient Hyperparameter Optimization of Child Networks for Speech Processing Tasks in the SUPERB Benchmark
Interspeech 2023
ADU-Depth: Attention-based Distillation with Uncertainty Modeling for Depth Estimation
CoRL 2023
Advances in AI for Safety, Equity, and Well-Being on Web and Social Media: Detection, Robustness, Attribution, and Mitigation
AAAI 2023
Adversarial Alignment for Source Free Object Detection
AAAI 2023
Adversarial Bayesian Augmentation for Single-Source Domain Generalization
ICCV 2023
Adversarial Collaborative Learning on Non-IID Features
ICML 2023
Adversarial De-confounding in Individualised Treatment Effects Estimation
AISTATS 2023
Adversarial Diffusion Probability Model For Cross-domain Speaker Verification Integrating Contrastive Loss
Interspeech 2023
Adversarial Finetuning with Latent Representation Constraint to Mitigate Accuracy-Robustness Tradeoff
ICCV 2023
Adversarial Learning for Feature Shift Detection and Correction
NeurIPS 2023
Adversarial Local Distribution Regularization for Knowledge Distillation
WACV 2023
Adversarially Masking Synthetic To Mimic Real: Adaptive Noise Injection for Point Cloud Segmentation Adaptation
CVPR 2023