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)
High-resource Language-specific Training for Multilingual Neural Machine Translation
IJCAI 2022
Hilbert Distillation for Cross-Dimensionality Networks
NeurIPS 2022
Homomorphic Matrix Completion
NeurIPS 2022
Horses to Zebras: Ontology-Guided Data Augmentation and Synthesis for ICD-9 Coding
ACL 2022
Hot-Refresh Model Upgrades with Regression-Free Compatible Training in Image Retrieval
ICLR 2022
House of Cans: Covert Transmission of Internal Datasets via Capacity-Aware Neuron Steganography
NeurIPS 2022
How Can a Teacher Make Learning From Sparse Data Softer? Application to Business Relation Extraction
EMNLP 2022
How fair is your graph? Exploring fairness concerns in neuroimaging studies
MLHC 2022
How Far are We from Robust Long Abstractive Summarization?
EMNLP 2022
How Gender Debiasing Affects Internal Model Representations, and Why It Matters
NAACL 2022
How Hate Speech Varies by Target Identity: A Computational Analysis
CoNLL 2022
How Long Is Enough? Exploring the Optimal Intervals of Long-Range Clinical Note Language Modeling
EMNLP 2022
How Low Can We Go: Trading Memory for Error in Low-Precision Training
ICLR 2022
How Many Observations Are Enough? Knowledge Distillation for Trajectory Forecasting
CVPR 2022
How Private Is Your RL Policy? An Inverse RL Based Analysis Framework
AAAI 2022
How reparametrization trick broke differentially-private text representation learning
ACL 2022
How sensitive are translation systems to extra contexts? Mitigating gender bias in Neural Machine Translation models through relevant contexts.
EMNLP 2022
How Tempering Fixes Data Augmentation in Bayesian Neural Networks
ICML 2022
How to Adapt Pre-trained Vision-and-Language Models to a Text-only Input?
COLING 2022
How to diagnose nanosecond network latencies in rich end-host stacks
NSDI 2022
How to Fill the Optimum Set? Population Gradient Descent with Harmless Diversity
ICML 2022
How to Listen? Rethinking Visual Sound Localization
Interspeech 2022
How to Steer Your Adversary: Targeted and Efficient Model Stealing Defenses with Gradient Redirection
ICML 2022
How unfair is private learning?
UAI 2022
How well can Text-to-Image Generative Models understand Ethical Natural Language Interventions?
EMNLP 2022