Search Results for author:
Found 14 papers, 8 papers with code
ReSee: Responding through Seeing Fine-grained Visual Knowledge in Open-domain Dialogue
To demonstrate the superiority and universality of the provided visual knowledge, we propose a simple but effective framework ReSee to add visual representation into vanilla dialogue models by modality concatenations.
PCAE: A Framework of Plug-in Conditional Auto-Encoder for Controllable Text Generation
Visualization of the local latent prior well confirms the primary devotion in hidden space of the proposed model.
FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning
In order to learn a fair unified representation, we send it to each platform storing fairness-sensitive features and apply adversarial learning to remove bias from the unified representation inherited from the biased data.
AdaVAE: Exploring Adaptive GPT-2s in Variational Auto-Encoders for Language Modeling
Variational Auto-Encoder (VAE) has become the de-facto learning paradigm in achieving representation learning and generation for natural language at the same time.
A New Sentence Extraction Strategy for Unsupervised Extractive Summarization Methods
In recent years, text summarization methods have attracted much attention again thanks to the researches on neural network models.
Provably Secure Generative Linguistic Steganography
Generative linguistic steganography mainly utilized language models and applied steganographic sampling (stegosampling) to generate high-security steganographic text (stegotext).
Graph-Stega: Semantic Controllable Steganographic Text Generation Guided by Knowledge Graph
On the one hand, we hide the secret information by coding the path in the knowledge graph, but not the conditional probability of each generated word; on the other hand, we can control the semantic expression of the generated steganographic text to a certain extent.
Master-Auxiliary: an efficient aggregation strategy for video anomaly detection
First, the aggregation strategy chooses one detector as master detector by experience, and sets the remaining detectors as auxiliary detectors.
A Promotion Method for Generation Error Based Video Anomaly Detection
To address these problems, we propose a promotion method: utilize the maximum of block-level GEs on the frame to detect anomaly.
IStego100K: Large-scale Image Steganalysis Dataset
We hope that this test set can help to evaluate the robustness of steganalysis algorithms.
Water Preservation in Soan River Basin using Deep Learning Techniques
Water supplies are crucial for the development of living beings.
Real-Time Steganalysis for Stream Media Based on Multi-channel Convolutional Sliding Windows
To solve these two challenges, in this paper, combined with the sliding window detection algorithm and Convolution Neural Network we propose a real-time VoIP steganalysis method which based on multi-channel convolution sliding windows.
Clinical Assistant Diagnosis for Electronic Medical Record Based on Convolutional Neural Network
Automatically extracting useful information from electronic medical records along with conducting disease diagnoses is a promising task for both clinical decision support(CDS) and neural language processing(NLP).
Image Captioning with Object Detection and Localization
Automatically generating a natural language description of an image is a task close to the heart of image understanding.
