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08/10/2023
Beyond Semantics: Learning a Behavior Augmented Relevance Model with Self-supervised Learning
Relevance modeling aims to locate desirable items for corresponding quer...
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05/31/2023
A family of Counterexamples on Inequality among Symmetric Functions
Inequalities among symmetric functions are fundamental questions in math...
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04/12/2023
DUFormer: A Novel Architecture for Power Line Segmentation of Aerial Images
Power lines pose a significant safety threat to unmanned aerial vehicles...
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02/22/2023
PAD: Towards Principled Adversarial Malware Detection Against Evasion Attacks
Machine Learning (ML) techniques facilitate automating malicious softwar...
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11/12/2022
ConceptX: A Framework for Latent Concept Analysis
The opacity of deep neural networks remains a challenge in deploying sol...
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10/21/2022
SIT at MixMT 2022: Fluent Translation Built on Giant Pre-trained Models
This paper describes the Stevens Institute of Technology's submission fo...
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08/04/2022
Transferable Multi-Agent Reinforcement Learning with Dynamic Participating Agents
We study multi-agent reinforcement learning (MARL) with centralized trai...
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06/27/2022
Analyzing Encoded Concepts in Transformer Language Models
We propose a novel framework ConceptX, to analyze how latent concepts ar...
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05/15/2022
Discovering Latent Concepts Learned in BERT
A large number of studies that analyze deep neural network models and th...
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01/24/2022
Leveraging Data and Analytics for Digital Business Transformation through DataOps: An Information Processing Perspective
Digital business transformation has become increasingly important for or...
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08/05/2021
Itinerary-aware Personalized Deep Matching at Fliggy
Matching items for a user from a travel item pool of large cardinality h...
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06/25/2021
Deep Interpretable Criminal Charge Prediction and Algorithmic Bias
While predictive policing has become increasingly common in assisting wi...
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06/08/2021
Learning by Distillation: A Self-Supervised Learning Framework for Optical Flow Estimation
We present DistillFlow, a knowledge distillation approach to learning op...
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02/24/2021
A Novel Graph-based Computation Offloading Strategy for Workflow Applications in Mobile Edge Computing
With the fast development of mobile edge computing (MEC), there is an in...
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01/30/2021
EdgeWorkflowReal: An Edge Computing based Workflow Execution Engine for Smart Systems
Current cloud-based smart systems suffer from weaknesses such as high re...
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10/09/2020
Learning 3D Face Reconstruction with a Pose Guidance Network
We present a self-supervised learning approach to learning monocular 3D ...
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04/05/2020
Flow2Stereo: Effective Self-Supervised Learning of Optical Flow and Stereo Matching
In this paper, we propose a unified method to jointly learn optical flow...
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03/31/2020
A Clustering Framework for Lexical Normalization of Roman Urdu
Roman Urdu is an informal form of the Urdu language written in Roman scr...
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11/11/2019
Diversity by Phonetics and its Application in Neural Machine Translation
We introduce a powerful approach for Neural Machine Translation (NMT), w...
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10/29/2019
A sufficient condition for local nonnegativity
A real polynomial f is called local nonnegative at a point p, if it is n...
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10/27/2019
Adversarial Defense Via Local Flatness Regularization
Adversarial defense is a popular and important research area. Due to its...
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07/26/2019
Learning to Solve a Rubik's Cube with a Dexterous Hand
We present a learning-based approach to solving a Rubik's cube with a mu...
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04/19/2019
SelFlow: Self-Supervised Learning of Optical Flow
We present a self-supervised learning approach for optical flow. Our met...
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02/25/2019
DDFlow: Learning Optical Flow with Unlabeled Data Distillation
We present DDFlow, a data distillation approach to learning optical flow...
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01/12/2019
Incentivizing the Workers for Truth Discovery in Crowdsourcing with Copiers
Crowdsourcing has become an efficient paradigm for performing large scal...
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05/04/2018
Learning to See in the Dark
Imaging in low light is challenging due to low photon count and low SNR....
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09/02/2017
Fast Image Processing with Fully-Convolutional Networks
We present an approach to accelerating a wide variety of image processin...
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01/28/2017
A proof of Hilbert's theorem on ternary quartic forms with the ladder technique
This paper proposes a totally constructive approach for the proof of Hil...
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10/01/2016
Radial Velocity Retrieval for Multichannel SAR Moving Targets with Time-Space Doppler De-ambiguity
In this paper, with respect to multichannel synthetic aperture radars (S...
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01/18/2015
Phrase Based Language Model For Statistical Machine Translation
We consider phrase based Language Models (LM), which generalize the comm...
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05/21/2013
