The rapid growth of memory and computation requirements of large languag...
The Noisy Max mechanism and its variations are fundamental private selec...
Implicit neural representations have shown powerful capacity in modeling...
Hypergraphs are a powerful abstraction for representing higher-order
int...
Synthesizing high-fidelity head avatars is a central problem for compute...
Vision model have gained increasing attention due to their simplicity an...
Reconfigurable intelligent surface (RIS) is a new technique that is able...
Federated Learning (FL) enables collaborations among clients for train
m...
Recent advances in modeling 3D objects mostly rely on synthetic datasets...
In many scientific research and engineering applications where repeated
...
Label smoothing is a regularization technique widely used in supervised
...
Scene text editing (STE) aims to replace text with the desired one while...
One-shot neural architecture search (NAS) substantially improves the sea...
Scene text spotting is of great importance to the computer vision commun...
In this paper, we conduct systematic measurement studies to show that th...
Discovering new intents is of great significance to establishing Bootstr...
Most existing methods of Out-of-Domain (OOD) intent classification, whic...
This paper reviews recent deep-learning-based matting research and conce...
Most matting researches resort to advanced semantics to achieve high-qua...
Glass is very common in the real world. Influenced by the uncertainty ab...
Learning with sparse rewards is usually inefficient in Reinforcement Lea...
Data plane verification (DPV) is important for finding network errors.
C...
Acquiring the most representative examples via active learning (AL) can
...
Differential privacy has become a de facto standard for releasing data i...
In this paper, we abandon the dominant complex language model and rethin...
Deep reinforcement learning has achieved great success in laser-based
co...
Jointly exploiting multiple different yet complementary domain informati...
Electronic Line Calling is an auxiliary referee system used for tennis
m...
Existing scene text removal methods mainly train an elaborate network wi...
In this technical report, we present our solution of KDD Cup 2021 OGB
La...
Transformers have achieved great success in many artificial intelligence...
The permute-and-flip mechanism is a recently proposed differentially pri...
Recently, deep convolutional neural networks (CNNs) have been widely exp...
Linguistic knowledge is of great benefit to scene text recognition. Howe...
Image matting is a long-standing problem in computer graphics and vision...
Private selection algorithms, such as the Exponential Mechanism, Noisy M...
In practice, differentially private data releases are designed to suppor...
Various types of services, such as web APIs, IoT services, O2O services,...
We propose CheckDP, the first automated and integrated approach for prov...
Scene text detection has witnessed rapid development in recent years.
Ho...
In recent years, natural language processing (NLP) has got great develop...
Skin disease is one of the most common types of human diseases, which ma...
Deep neural networks (DNNs) have become widely used in many AI applicati...
Over the past years, great progress has been made in improving the compu...
Noisy Max and Sparse Vector are selection algorithms for differential pr...
Recent work on formal verification of differential privacy shows a trend...
Distributed synchronous stochastic gradient descent (S-SGD) with data
pa...
The widespread acceptance of differential privacy has led to the publica...