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09/07/2023
ImageBind-LLM: Multi-modality Instruction Tuning
We present ImageBind-LLM, a multi-modality instruction tuning method of ...
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07/20/2023
Jina Embeddings: A Novel Set of High-Performance Sentence Embedding Models
Jina Embeddings constitutes a set of high-performance sentence embedding...
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07/16/2023
STAR-RIS Enhanced Joint Physical Layer Security and Covert Communications for Multi-antenna mmWave Systems
This paper investigates the utilization of simultaneously transmitting a...
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06/12/2023
STAR-RIS Assisted Covert Communications in NOMA Systems
Covert communications assisted by simultaneously transmitting and reflec...
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05/17/2023
G-Adapter: Towards Structure-Aware Parameter-Efficient Transfer Learning for Graph Transformer Networks
It has become a popular paradigm to transfer the knowledge of large-scal...
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05/08/2023
HiFi: High-Information Attention Heads Hold for Parameter-Efficient Model Adaptation
To fully leverage the advantages of large-scale pre-trained language mod...
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05/06/2023
Simultaneously Transmitting and Reflecting RIS (STAR-RIS) Assisted Multi-Antenna Covert Communications: Analysis and Optimization
This paper investigates the multi-antenna covert communications assisted...
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05/06/2023
STAR-RIS Aided Covert Communication
This paper investigates the multi-antenna covert communications assisted...
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04/13/2023
Learning Accurate Performance Predictors for Ultrafast Automated Model Compression
In this paper, we propose an ultrafast automated model compression frame...
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10/12/2022
Token-Label Alignment for Vision Transformers
Data mixing strategies (e.g., CutMix) have shown the ability to greatly ...
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10/04/2022
Concise and interpretable multi-label rule sets
Multi-label classification is becoming increasingly ubiquitous, but not ...
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06/20/2022
Shapley-NAS: Discovering Operation Contribution for Neural Architecture Search
In this paper, we propose a Shapley value based method to evaluate opera...
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06/01/2022
Support Vector Machines under Adversarial Label Contamination
Machine learning algorithms are increasingly being applied in security-r...
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03/31/2022
On the Population Monotonicity of Independent Set Games
An independent set game is a cooperative game defined on graphs and deal...
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10/03/2021
Multi-linear Tensor Autoregressive Models
Contemporary time series analysis has seen more and more tensor type dat...
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08/21/2021
Equivariant Variance Estimation for Multiple Change-point Model
The variance of noise plays an important role in many change-point detec...
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08/05/2021
Generalizable Mixed-Precision Quantization via Attribution Rank Preservation
In this paper, we propose a generalizable mixed-precision quantization (...
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07/03/2021
Approximate Core Allocations for Multiple Partners Matching Games
The multiple partners matching game is a cooperative profit-sharing game...
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05/12/2021
Generalized Autoregressive Moving Average Models with GARCH Errors
One of the important and widely used classes of models for non-Gaussian ...
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05/03/2021
Population Monotonicity in Matching Games
A matching game is a cooperative profit game defined on an edge-weighted...
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10/18/2020
Arboricity Games: the Core and the Nucleolus
The arboricity of a network is the minimum number of forests needed to c...
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02/20/2020
MODMA dataset: a Multi-modal Open Dataset for Mental-disorder Analysis
According to the World Health Organization, the number of mental disorde...
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02/20/2020
MODMA dataset: a Multi-model Open Dataset for Mental-disorder Analysis
According to the World Health Organization, the number of mental disorde...
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02/07/2020
Population Monotonic Allocation Schemes for Vertex Cover Games
For the class of vertex cover games (introduced by Deng et al., Math. Op...
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01/26/2020
Searching for polarization in signed graphs: a local spectral approach
Signed graphs have been used to model interactions in social net-works, ...
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12/06/2019
Hybrid Kronecker Product Decomposition and Approximation
Discovering the underlying low dimensional structure of high dimensional...
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12/05/2019
KoPA: Automated Kronecker Product Approximation
We consider matrix approximation induced by the Kronecker product decomp...
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11/26/2019
Stable Matrix Completion using Properly Configured Kronecker Product Decomposition
Matrix completion problems are the problems of recovering missing entrie...
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11/08/2019
On the Convexity of Independent Set Games
This paper investigates independent set games (introduced by Deng et al....
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04/24/2019
Asynchronous "Events" are Better For Motion Estimation
Event-based camera is a bio-inspired vision sensor that records intensit...
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04/17/2019
Bonsai - Diverse and Shallow Trees for Extreme Multi-label Classification
Extreme multi-label classification refers to supervised multi-label lear...
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12/21/2018
Autoregressive Models for Matrix-Valued Time Series
In finance, economics and many other fields, observations in a matrix fo...
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09/06/2018
Dual Ask-Answer Network for Machine Reading Comprehension
There are three modalities in the reading comprehension setting: questio...
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07/12/2018
Multi-Perspective Neural Architecture for Recommendation System
Currently, there starts a research trend to leverage neural architecture...
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01/09/2018
Convexification of Neural Graph
Traditionally, most complex intelligence architectures are extremely non...
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01/05/2018
Intelligence Graph
In fact, there exist three genres of intelligence architectures: logics ...
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12/16/2017
NDT: Neual Decision Tree Towards Fully Functioned Neural Graph
Though traditional algorithms could be embedded into neural architecture...
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12/07/2017
Hungarian Layer: Logics Empowered Neural Architecture
Neural architecture is a purely numeric framework, which fits the data a...
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08/25/2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
We present Fashion-MNIST, a new dataset comprising of 28x28 grayscale im...
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04/17/2016
SSP: Semantic Space Projection for Knowledge Graph Embedding with Text Descriptions
Knowledge representation is an important, long-history topic in AI, and ...
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12/15/2015
From One Point to A Manifold: Knowledge Graph Embedding For Precise Link Prediction
Knowledge graph embedding aims at offering a numerical knowledge represe...
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09/18/2015
TransA: An Adaptive Approach for Knowledge Graph Embedding
Knowledge representation is a major topic in AI, and many studies attemp...
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09/18/2015
