We present ImageBind-LLM, a multi-modality instruction tuning method of ...
Jina Embeddings constitutes a set of high-performance sentence embedding...
This paper investigates the utilization of simultaneously transmitting a...
Covert communications assisted by simultaneously transmitting and reflec...
It has become a popular paradigm to transfer the knowledge of large-scal...
To fully leverage the advantages of large-scale pre-trained language mod...
This paper investigates the multi-antenna covert communications assisted...
This paper investigates the multi-antenna covert communications assisted...
In this paper, we propose an ultrafast automated model compression frame...
Data mixing strategies (e.g., CutMix) have shown the ability to greatly
...
Multi-label classification is becoming increasingly ubiquitous, but not ...
In this paper, we propose a Shapley value based method to evaluate opera...
Machine learning algorithms are increasingly being applied in
security-r...
An independent set game is a cooperative game defined on graphs and deal...
Contemporary time series analysis has seen more and more tensor type dat...
The variance of noise plays an important role in many change-point detec...
In this paper, we propose a generalizable mixed-precision quantization (...
The multiple partners matching game is a cooperative profit-sharing game...
One of the important and widely used classes of models for non-Gaussian ...
A matching game is a cooperative profit game defined on an edge-weighted...
The arboricity of a network is the minimum number of forests needed to c...
According to the World Health Organization, the number of mental disorde...
According to the World Health Organization, the number of mental disorde...
For the class of vertex cover games (introduced by Deng et al., Math. Op...
Signed graphs have been used to model interactions in social net-works, ...
Discovering the underlying low dimensional structure of high dimensional...
We consider matrix approximation induced by the Kronecker product
decomp...
Matrix completion problems are the problems of recovering missing entrie...
This paper investigates independent set games (introduced by Deng et al....
Event-based camera is a bio-inspired vision sensor that records intensit...
Extreme multi-label classification refers to supervised multi-label lear...
In finance, economics and many other fields, observations in a matrix fo...
There are three modalities in the reading comprehension setting: questio...
Currently, there starts a research trend to leverage neural architecture...
Traditionally, most complex intelligence architectures are extremely
non...
In fact, there exist three genres of intelligence architectures: logics ...
Though traditional algorithms could be embedded into neural architecture...
Neural architecture is a purely numeric framework, which fits the data a...
We present Fashion-MNIST, a new dataset comprising of 28x28 grayscale im...
Knowledge representation is an important, long-history topic in AI, and ...
Knowledge graph embedding aims at offering a numerical knowledge
represe...
Knowledge representation is a major topic in AI, and many studies attemp...
Recently, knowledge graph embedding, which projects symbolic entities an...