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Adversarial Robustness Against Image Color Transformation within Parametric Filter Space
ZhengyuZhao, ZhuoranLiu, MarthaLarson....
Published date-11/12/2020
We propose Adversarial Color Enhancement (ACE), a novel approach to generating non-suspicious adversarial images by optimizing a color transformation within a parametric filter space. The filter we use approximates human-understandable …
Fit2Form: 3D Generative Model for Robot Gripper Form Design
HuyHa, ShubhamAgrawal, ShuranSong....
Published date-11/12/2020
The 3D shape of a robot's end-effector plays a critical role in determining it's functionality and overall performance. Many industrial applications rely on task-specific gripper designs to ensure the system's …
Biomedical Named Entity Recognition at Scale
VeyselKocaman, DavidTalby....
Published date-11/12/2020
EntityResolution, InformationRetrieval, MedicalNamedEntityRecognition, NamedEntityRecognition, QuestionAnswering, RelationExtraction
Named entity recognition (NER) is a widely applicable natural language processing task and building block of question answering, topic modeling, information retrieval, etc. In the medical domain, NER plays a …
Theoretical Knowledge Graph Reasoning via Ending Anchored Rules
CanlinZhang, YannisKatsis, YoshikiVazquez-Baeza....
Published date-11/12/2020
KnowledgeGraphCompletion, KnowledgeGraphs, LinkPrediction
Discovering precise and specific rules from knowledge graphs is regarded as an essential challenge, which can improve the performances of many downstream tasks and even provide new ways to approach …
Hierarchical Prosody Modeling for Non-Autoregressive Speech Synthesis
Chung-MingChien, Hung-YiLee....
Published date-11/12/2020
SpeechSynthesis
Prosody modeling is an essential component in modern text-to-speech (TTS) frameworks. By explicitly providing prosody features to the TTS model, the style of synthesized utterances can thus be controlled. However, …
Artificial Neural Variability for Deep Learning: On Overfitting, Noise Memorization, and Catastrophic Forgetting
ZekeXie, FengxiangHe, ShaopengFu....
Published date-11/12/2020
Deep learning is often criticized by two serious issues which rarely exist in natural nervous systems: overfitting and catastrophic forgetting. It can even memorize randomly labelled data, which has little …