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07/12/2023
The Whole Pathological Slide Classification via Weakly Supervised Learning
Due to its superior efficiency in utilizing annotations and addressing g...
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05/24/2023
Deep Stochastic Processes via Functional Markov Transition Operators
We introduce Markov Neural Processes (MNPs), a new class of Stochastic P...
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04/10/2023
Investigating Graph Structure Information for Entity Alignment with Dangling Cases
Entity alignment (EA) aims to discover the equivalent entities in differ...
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12/08/2022
DC-MBR: Distributional Cooling for Minimum Bayesian Risk Decoding
Minimum Bayesian Risk Decoding (MBR) emerges as a promising decoding alg...
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10/26/2022
Residual Learning of Neural Text Generation with n-gram Language Model
N-gram language models (LM) have been largely superseded by neural LMs a...
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10/24/2022
A comparative study to alternatives to the log-rank test
Studies to compare the survival of two or more groups using time-to-even...
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06/06/2022
Learning to Break the Loop: Analyzing and Mitigating Repetitions for Neural Text Generation
While large-scale neural language models, such as GPT2 and BART, have ac...
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04/28/2022
AGIC: Approximate Gradient Inversion Attack on Federated Learning
Federated learning is a private-by-design distributed learning paradigm ...
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04/26/2022
Balancing Age-Energy Tradeoff in Sleep-Wake Server Systems
The surging demand for fresh information from various Internet of Things...
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03/30/2022
Matrix Multiplication with Less Arithmetic Complexity and IO Complexity
After Strassen presented the first sub-cubic matrix multiplication algor...
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03/23/2022
ECO v1: Towards Event-Centric Opinion Mining
Events are considered as the fundamental building blocks of the world. M...
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03/15/2022
Procedural Text Understanding via Scene-Wise Evolution
Procedural text understanding requires machines to reason about entity s...
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02/26/2022
libRoadRunner 2.0: A High-Performance SBML Simulation and Analysis Library
Motivation: This paper presents libRoadRunner 2.0, an extensible, high-p...
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02/17/2022
CLS: Cross Labeling Supervision for Semi-Supervised Learning
It is well known that the success of deep neural networks is greatly att...
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11/25/2021
AutoHEnsGNN: Winning Solution to AutoGraph Challenge for KDD Cup 2020
Graph Neural Networks (GNNs) have become increasingly popular and achiev...
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08/29/2021
Analyzing and Mitigating Interference in Neural Architecture Search
Weight sharing has become the de facto approach to reduce the training c...
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06/17/2021
Text2Event: Controllable Sequence-to-Structure Generation for End-to-end Event Extraction
Event extraction is challenging due to the complex structure of event re...
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06/17/2021
Knowledgeable or Educated Guess? Revisiting Language Models as Knowledge Bases
Previous literatures show that pre-trained masked language models (MLMs)...
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06/16/2021
From Discourse to Narrative: Knowledge Projection for Event Relation Extraction
Current event-centric knowledge graphs highly rely on explicit connectiv...
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06/10/2021
Group Equivariant Subsampling
Subsampling is used in convolutional neural networks (CNNs) in the form ...
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06/10/2021
Graph Symbiosis Learning
We introduce a framework for learning from multiple generated graph view...
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05/30/2021
NAS-BERT: Task-Agnostic and Adaptive-Size BERT Compression with Neural Architecture Search
While pre-trained language models (e.g., BERT) have achieved impressive ...
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05/09/2021
FastCorrect: Fast Error Correction with Edit Alignment for Automatic Speech Recognition
Error correction techniques have been used to refine the output sentence...
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04/13/2021
Improving Long-Tailed Classification from Instance Level
Data in the real world tends to exhibit a long-tailed label distribution...
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02/25/2021
MixSpeech: Data Augmentation for Low-resource Automatic Speech Recognition
In this paper, we propose MixSpeech, a simple yet effective data augment...
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02/19/2021
Studentized Permutation Method for Comparing Restricted Mean Survival Times with Small Sample from Randomized Trials
Recent observations, especially in cancer immunotherapy clinical trials ...
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10/17/2020
Incorporate Semantic Structures into Machine Translation Evaluation via UCCA
Copying mechanism has been commonly used in neural paraphrasing networks...
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08/27/2020
OFFER: A Motif Dimensional Framework for Network Representation Learning
Aiming at better representing multivariate relationships, this paper inv...
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08/13/2020
Cognitive Representation Learning of Self-Media Online Article Quality
The automatic quality assessment of self-media online articles is an urg...
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08/09/2020
LRSpeech: Extremely Low-Resource Speech Synthesis and Recognition
Speech synthesis (text to speech, TTS) and recognition (automatic speech...
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08/09/2020
Multivariate Relations Aggregation Learning in Social Networks
Multivariate relations are general in various types of networks, such as...
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07/23/2020
Whole-Body Human Pose Estimation in the Wild
This paper investigates the task of 2D human whole-body pose estimation,...
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07/03/2020
AEGCN: An Autoencoder-Constrained Graph Convolutional Network
We propose a novel neural network architecture, called autoencoder-const...
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06/10/2020
A Bayesian Framework for Nash Equilibrium Inference in Human-Robot Parallel Play
We consider shared workspace scenarios with humans and robots acting to ...
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06/08/2020
MultiSpeech: Multi-Speaker Text to Speech with Transformer
Transformer-based text to speech (TTS) model (e.g., Transformer TTS <cit...
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04/24/2020
Age of Information for Single Buffer Systems with Vacation Server
In this research, we consider age-related metrics for queueing systems w...
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01/07/2020
On Competitive Analysis for Polling Systems
Polling systems have been widely studied, however most of these studies ...
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12/28/2019
Weak Supervision for Fake News Detection via Reinforcement Learning
Today social media has become the primary source for news. Via social me...
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12/05/2019
MetaFun: Meta-Learning with Iterative Functional Updates
Few-shot supervised learning leverages experience from previous learning...
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11/11/2019
Transfer Value Iteration Networks
Value iteration networks (VINs) have been demonstrated to be effective i...
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08/06/2019
Optimal Sliced Latin Hypercube Designs with Slices of Arbitrary Run Sizes
Sliced Latin hypercube designs (SLHDs) are widely used in computer exper...
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06/28/2019
Towards Assigning Priorities in Queues Using Age of Information
We consider a priority queueing system where a single processor serves k...
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05/07/2019
Sliced Latin hypercube designs with arbitrary run sizes
Latin hypercube designs achieve optimal univariate stratifications and a...
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06/15/2018
Controllable Semantic Image Inpainting
We develop a method for user-controllable semantic image inpainting: Giv...
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06/08/2018
Graph Theory Towards New Graphical Passwords In Information Networks
Graphical passwords (GPWs) have been studied over 20 years. We are motiv...
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01/01/2018
On Spectral Graph Embedding: A Non-Backtracking Perspective and Graph Approximation
Graph embedding has been proven to be efficient and effective in facilit...
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09/19/2014