Pre-trained language models have achieved impressive results in various ...
This paper considers the problem of calculating the matrix multiplicatio...
Image generation tasks are traditionally undertaken using Convolutional
...
To answer complex queries on knowledge graphs, logical reasoning over
in...
In this paper, we study the inductive biases in convolutional neural net...
Real-time emotion-based music arrangement, which aims to transform a giv...
Answering complex queries on knowledge graphs is important but particula...
Label hierarchy is an important source of external knowledge that can en...
The proposed BSDE-based diffusion model represents a novel approach to
d...
Reasoning on knowledge graphs is a challenging task because it utilizes
...
The popularity of encryption mechanisms poses a great challenge to malic...
Sketch-guided image editing aims to achieve local fine-tuning of the ima...
Open-domain conversational search (ODCS) aims to provide valuable, up-to...
In this work, we investigate performing semantic segmentation solely thr...
Response ranking in dialogues plays a crucial role in retrieval-based
co...
We present the InterviewBot that dynamically integrates conversation his...
This paper concerns the control of text-guided generative models, where ...
This paper considers decentralized convex composite optimization over
un...
In this paper, we study the problem of planning in Minecraft, a popular,...
Cross-modality data translation has attracted great interest in image
co...
We study the problem of learning goal-conditioned policies in Minecraft,...
Complex Query Answering (CQA) over Knowledge Graphs (KGs) has attracted ...
The task of visual dialog requires a multimodal chatbot to answer sequen...
Image registration is an essential but challenging task in medical image...
Instance-dependent label noise is realistic but rather challenging, wher...
Measuring Sentence Textual Similarity (STS) is a classic task that can b...
We identify and prove a general principle: L_1 sparsity can be achieved
...
Real-time music accompaniment generation has a wide range of application...
Machine learning methods can be unreliable when deployed in domains that...
Knowledge Graphs, such as Wikidata, comprise structural and textual know...
Upper limb movement classification, which maps input signals to the targ...
We propose a new method named OnePose for object pose estimation. Unlike...
We consider the top-k arm identification problem for multi-armed bandits...
This work identifies the existence and cause of a type of posterior coll...
Reconstruction of a continuous surface of two-dimensional manifold from ...
Answering complex logical queries on incomplete knowledge graphs (KGs) w...
Context modeling plays a significant role in building multi-turn dialogu...
Deep neural networks, empowered by pre-trained language models, have ach...
As people's demand for personal privacy and data security becomes a prio...
Semantic analyses of object point clouds are largely driven by releasing...
Training a text-to-image generator in the general domain (e.g., Dall.e,
...
Due to the vulnerability of deep neural networks (DNNs) to adversarial
e...
This paper presents a novel open-domain dialogue generation model emphas...
Complex Query Answering (CQA) is an important reasoning task on knowledg...
We investigate the effectiveness of different machine learning methodolo...
We report on the potential for using algorithms for non-negative matrix
...
Image registration as an important basis in signal processing task often...
Reconstructing high-fidelity 3D objects from sparse, partial observation...
Recently, deep learning has been utilized to solve video recognition pro...
It has been hypothesized that label smoothing can reduce overfitting and...