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Found 17 papers, 4 papers with code
Temporal Adaptive RGBT Tracking with Modality Prompt
RGBT tracking has been widely used in various fields such as robotics, surveillance processing, and autonomous driving.
Ranked #2 on
Rgb-T Tracking
on RGBT210
Weighted Automata Extraction and Explanation of Recurrent Neural Networks for Natural Language Tasks
In this paper, we propose a novel framework of Weighted Finite Automata (WFA) extraction and explanation to tackle the limitations for natural language tasks.
Using Z3 for Formal Modeling and Verification of FNN Global Robustness
To evaluate the effectiveness of our implementation and improvements, we conduct extensive experiments on a set of benchmark datasets.
A New Adjacency Matrix Configuration in GCN-based Models for Skeleton-based Action Recognition
Comprehensive experimental results and analysis reveals that 1) the most widely used human natural skeleton structure adjacency matrix is unsuitable in skeleton-based action recognition; 2) The proposed adjacency matrix is superior in model performance, noise robustness and transferability.
Extracting Weighted Finite Automata from Recurrent Neural Networks for Natural Languages
Compositional approaches that are scablable to natural languages fall short in extraction precision.
Knowledge Distillation based Ensemble Learning for Neural Machine Translation
Under this framework, we introduce word-level ensemble learning and sequence-level ensemble learning for neural machine translation, where sequence-level ensemble learning is capable of aggregating translation models with different decoding strategies.
WOCS 5379: Detailed Analysis of the Evolution of a Post-Mass-Transfer Blue Straggler
WOCS 5379 comprises a blue straggler star with a white dwarf companion in a 120-day eccentric orbit.
Solar and Stellar Astrophysics
When Automatic Voice Disguise Meets Automatic Speaker Verification
The proposed approach generalizes well to restore the disguise with nonlinear frequency warping in VTLN by reducing its EER from 34. 3% to 18. 5%.
Semi-supervised Category-specific Review Tagging on Indonesian E-Commerce Product Reviews
Product reviews are a huge source of natural language data in e-commerce applications.
Global Robustness Verification Networks
The wide deployment of deep neural networks, though achieving great success in many domains, has severe safety and reliability concerns.
Towards Characterizing Adversarial Defects of Deep Learning Software from the Lens of Uncertainty
Based on this, we propose an automated testing technique to generate multiple types of uncommon AEs and BEs that are largely missed by existing techniques.
Baidu Neural Machine Translation Systems for WMT19
In this paper we introduce the systems Baidu submitted for the WMT19 shared task on Chinese{\textless}-{\textgreater}English news translation.
GazeCorrection:Self-Guided Eye Manipulation in the wild using Self-Supervised Generative Adversarial Networks
Gaze correction aims to redirect the person's gaze into the camera by manipulating the eye region, and it can be considered as a specific image resynthesis problem.
Multi-Perspective Context Aggregation for Semi-supervised Cloze-style Reading Comprehension
Cloze-style reading comprehension has been a popular task for measuring the progress of natural language understanding in recent years.
Yuanfudao at SemEval-2018 Task 11: Three-way Attention and Relational Knowledge for Commonsense Machine Comprehension
This paper describes our system for SemEval-2018 Task 11: Machine Comprehension using Commonsense Knowledge.
