In this paper, we develop a new method to automatically convert 2D line
...
In this paper, we introduce a new task for code completion that focuses ...
Recent advances in vision-language pre-training have enabled machines to...
Suppose we want to train text prediction models in email clients or word...
Parsing questions into executable logical forms has showed impressive re...
This paper presents ReasonFormer, a unified reasoning framework for mirr...
Multi-task learning (MTL) aims to improve the generalization performance...
Differentially private stochastic gradient descent (DP-SGD) is the workh...
The goal of anomaly detection is to identify anomalous samples from norm...
Unsupervised image hashing, which maps images into binary codes without
...
Indiscriminate data poisoning attacks, which add imperceptible perturbat...
The identification of active binding drugs for target proteins (termed a...
Traditional generative models are limited to predicting sequences of ter...
We propose a reparametrization scheme to address the challenges of apply...
Stock trend forecasting, aiming at predicting the stock future trends, i...
Deepfake detection, the task of automatically discriminating
machine-gen...
Pre-trained models for programming language have achieved dramatic empir...
Membership inference (MI) in machine learning decides whether a given ex...
Generating inferential texts about an event in different perspectives
re...
In recent years, knowledge graph embedding becomes a pretty hot research...
Verifying the correctness of a textual statement requires not only seman...
We study question answering over a dynamic textual environment. Although...
We study the problem of generating inferential texts of events for a var...
Motivated by the following two observations: 1) people are aging differe...
Gradient perturbation, widely used for differentially private optimizati...
Many retrieval applications can benefit from multiple modalities, e.g., ...
Fine-grained image hashing is a challenging problem due to the difficult...
We study fact-checking in this paper, which aims to verify a textual cla...
In this paper, we present an approach to incorporate retrieved datapoint...
Interactive fashion image manipulation, which enables users to edit imag...
In recent years, deep-networks-based hashing has become a leading approa...
Deep-networks-based hashing has become a leading approach for large-scal...
Virtual try-on system under arbitrary human poses has huge application
p...
Despite remarkable advances in image synthesis research, existing works ...
Although neural network approaches achieve remarkable success on a varie...
We study how to learn a semantic parser of state-of-the-art accuracy wit...
Face age progression, which aims to predict the future looks, is importa...
As the rapid growth of multi-modal data, hashing methods for cross-modal...