research
∙
08/23/2023
A Survey for Federated Learning Evaluations: Goals and Measures
Evaluation is a systematic approach to assessing how well a system achie...
share
research
∙
08/09/2023
Prompting In-Context Operator Learning with Sensor Data, Equations, and Natural Language
In the growing domain of scientific machine learning, in-context operato...
research
∙
06/28/2023
VERTICES: Efficient Two-Party Vertical Federated Linear Model with TTP-aided Secret Sharing
Vertical Federated Learning (VFL) has emerged as one of the most predomi...
research
∙
04/17/2023
In-Context Operator Learning for Differential Equation Problems
This paper introduces a new neural-network-based approach, namely IN-con...
research
∙
04/05/2023
Both Efficiency and Effectiveness! A Large Scale Pre-ranking Framework in Search System
In the realm of search systems, multi-stage cascade architecture is a pr...
research
∙
04/04/2023
A Survey on Vertical Federated Learning: From a Layered Perspective
Vertical federated learning (VFL) is a promising category of federated l...
research
∙
01/23/2023
GP-NAS-ensemble: a model for NAS Performance Prediction
It is of great significance to estimate the performance of a given model...
research
∙
12/04/2022
SoK: Fully Homomorphic Encryption Accelerators
Fully Homomorphic Encryption (FHE) is a key technology enabling privacy-...
research
∙
10/14/2022
Generative Adversarial Learning for Trusted and Secure Clustering in Industrial Wireless Sensor Networks
Traditional machine learning techniques have been widely used to establi...
research
∙
10/06/2022
A Better Way to Decay: Proximal Gradient Training Algorithms for Neural Nets
Weight decay is one of the most widely used forms of regularization in d...
research
∙
08/02/2022
Generative Adversarial Learning for Intelligent Trust Management in 6G Wireless Networks
Emerging six generation (6G) is the integration of heterogeneous wireles...
research
∙
07/21/2022
An Evolutionary Game based Secure Clustering Protocol with Fuzzy Trust Evaluation and Outlier Detection for Wireless Sensor Networks
Trustworthy and reliable data delivery is a challenging task in Wireless...
research
∙
07/20/2022
A Secure Clustering Protocol with Fuzzy Trust Evaluation and Outlier Detection for Industrial Wireless Sensor Networks
Security is one of the major concerns in Industrial Wireless Sensor Netw...
research
∙
07/19/2022
An Intelligent Trust Cloud Management Method for Secure Clustering in 5G enabled Internet of Medical Things
5G edge computing enabled Internet of Medical Things (IoMT) is an effici...
research
∙
07/17/2022
An Intelligent Deterministic Scheduling Method for Ultra-Low Latency Communication in Edge Enabled Industrial Internet of Things
Edge enabled Industrial Internet of Things (IIoT) platform is of great s...
research
∙
06/28/2022
Secure Forward Aggregation for Vertical Federated Neural Networks
Vertical federated learning (VFL) is attracting much attention because i...
research
∙
02/24/2022
Rare Gems: Finding Lottery Tickets at Initialization
It has been widely observed that large neural networks can be pruned to ...
research
∙
08/18/2021
Practical and Secure Federated Recommendation with Personalized Masks
Federated recommendation is a new notion of private distributed recommen...
research
∙
06/30/2021
The Threat of Offensive AI to Organizations
AI has provided us with the ability to automate tasks, extract informati...
research
∙
06/14/2021
Pre-Trained Models: Past, Present and Future
Large-scale pre-trained models (PTMs) such as BERT and GPT have recently...
research
∙
05/09/2021
Passage Retrieval for Outside-Knowledge Visual Question Answering
In this work, we address multi-modal information needs that contain text...
research
∙
04/15/2021
Privacy-Adaptive BERT for Natural Language Understanding
When trying to apply the recent advance of Natural Language Understandin...
research
∙
03/03/2021
Weakly-Supervised Open-Retrieval Conversational Question Answering
Recent studies on Question Answering (QA) and Conversational QA (ConvQA)...
research
∙
02/06/2021
When NAS Meets Watermarking: Ownership Verification of DNN Models via Cache Side Channels
We present a novel watermarking scheme to verify the ownership of DNN mo...
research
∙
01/17/2021
Measure-conditional Discriminator with Stationary Optimum for GANs and Statistical Distance Surrogates
We propose a simple but effective modification of the discriminators, na...
research
∙
12/18/2020
Flow-based Generative Models for Learning Manifold to Manifold Mappings
Many measurements or observations in computer vision and machine learnin...
research
∙
11/25/2020
Learning to Expand: Reinforced Pseudo-relevance Feedback Selection for Information-seeking Conversations
Intelligent personal assistant systems for information-seeking conversat...
research
∙
11/08/2020
Long Range Arena: A Benchmark for Efficient Transformers
Transformers do not scale very well to long sequence lengths largely bec...
research
∙
10/07/2020
DiPair: Fast and Accurate Distillation for Trillion-Scale Text Matching and Pair Modeling
Pre-trained models like BERT (Devlin et al., 2018) have dominated NLP / ...
research
∙
09/09/2020
Particle Filtering Under General Regime Switching
In this paper, we consider a new framework for particle filtering under ...
research
∙
08/24/2020
Solving Inverse Stochastic Problems from Discrete Particle Observations Using the Fokker-Planck Equation and Physics-informed Neural Networks
The Fokker-Planck (FP) equation governing the evolution of the probabili...
research
∙
08/05/2020
Generative Ensemble-Regression: Learning Stochastic Dynamics from Discrete Particle Ensemble Observations
We propose a new method for inferring the governing stochastic ordinary ...
research
∙
08/02/2020
SeqDialN: Sequential Visual Dialog Networks in Joint Visual-Linguistic Representation Space
In this work, we formulate a visual dialog as an information flow in whi...
research
∙
07/07/2020
Divide-and-Shuffle Synchronization for Distributed Machine Learning
Distributed Machine Learning suffers from the bottleneck of synchronizat...
research
∙
06/21/2020
Match^2: A Matching over Matching Model for Similar Question Identification
Community Question Answering (CQA) has become a primary means for people...
research
∙
05/22/2020
Open-Retrieval Conversational Question Answering
Conversational search is one of the ultimate goals of information retrie...
research
∙
04/26/2020
Beyond 512 Tokens: Siamese Multi-depth Transformer-based Hierarchical Encoder for Document Matching
Many information retrieval and natural language processing problems can ...
research
∙
03/13/2020
B-PINNs: Bayesian Physics-Informed Neural Networks for Forward and Inverse PDE Problems with Noisy Data
We propose a Bayesian physics-informed neural network (B-PINN) to solve ...
research
∙
03/06/2020
Reinforcement Learning for Active Flow Control in Experiments
We demonstrate experimentally the feasibility of applying reinforcement ...
research
∙
02/26/2020
Sparse Sinkhorn Attention
We propose Sparse Sinkhorn Attention, a new efficient and sparse method ...
research
∙
02/20/2020
APTER: Aggregated Prognosis Through Exponential Reweighting
This paper considers the task of learning how to make a prognosis of a p...
research
∙
02/03/2020
IART: Intent-aware Response Ranking with Transformers in Information-seeking Conversation Systems
Personal assistant systems, such as Apple Siri, Google Assistant, Amazon...
research
∙
11/05/2019
A GMM based algorithm to generate point-cloud and its application to neuroimaging
Recent years have witnessed the emergence of 3D medical imaging techniqu...
research
∙
11/05/2019
An "augmentation-free" rotation invariant classification scheme on point-cloud and its application to neuroimaging
Recent years have witnessed the emergence and increasing popularity of 3...
research
∙
10/31/2019
Computing and Testing Small Connectivity in Near-Linear Time and Queries via Fast Local Cut Algorithms
Consider the following "local" cut-detection problem in a directed graph...
research
∙
10/29/2019
Highly-scalable, physics-informed GANs for learning solutions of stochastic PDEs
Uncertainty quantification for forward and inverse problems is a central...
research
∙
10/29/2019
POIRot: A rotation invariant omni-directional pointnet
Point-cloud is an efficient way to represent 3D world. Analysis of point...
research
∙
08/29/2019
Potential Flow Generator with L_2 Optimal Transport Regularity for Generative Models
We propose a potential flow generator with L_2 optimal transport regular...
research
∙
08/26/2019
Attentive History Selection for Conversational Question Answering
Conversational question answering (ConvQA) is a simplified but concrete ...
research
∙
05/14/2019
