
Flowbased Generative Models for Learning Manifold to Manifold Mappings
Many measurements or observations in computer vision and machine learnin...
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Learning to Expand: Reinforced Pseudorelevance Feedback Selection for Informationseeking Conversations
Intelligent personal assistant systems for informationseeking conversat...
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Long Range Arena: A Benchmark for Efficient Transformers
Transformers do not scale very well to long sequence lengths largely bec...
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DiPair: Fast and Accurate Distillation for TrillionScale Text Matching and Pair Modeling
Pretrained models like BERT (Devlin et al., 2018) have dominated NLP / ...
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Particle Filtering Under General Regime Switching
In this paper, we consider a new framework for particle filtering under ...
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Solving Inverse Stochastic Problems from Discrete Particle Observations Using the FokkerPlanck Equation and Physicsinformed Neural Networks
The FokkerPlanck (FP) equation governing the evolution of the probabili...
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Generative EnsembleRegression: Learning Stochastic Dynamics from Discrete Particle Ensemble Observations
We propose a new method for inferring the governing stochastic ordinary ...
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SeqDialN: Sequential Visual Dialog Networks in Joint VisualLinguistic Representation Space
In this work, we formulate a visual dialog as an information flow in whi...
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DivideandShuffle Synchronization for Distributed Machine Learning
Distributed Machine Learning suffers from the bottleneck of synchronizat...
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Match^2: A Matching over Matching Model for Similar Question Identification
Community Question Answering (CQA) has become a primary means for people...
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OpenRetrieval Conversational Question Answering
Conversational search is one of the ultimate goals of information retrie...
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Beyond 512 Tokens: Siamese Multidepth Transformerbased Hierarchical Encoder for Document Matching
Many information retrieval and natural language processing problems can ...
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BPINNs: Bayesian PhysicsInformed Neural Networks for Forward and Inverse PDE Problems with Noisy Data
We propose a Bayesian physicsinformed neural network (BPINN) to solve ...
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Reinforcement Learning for Active Flow Control in Experiments
We demonstrate experimentally the feasibility of applying reinforcement ...
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Sparse Sinkhorn Attention
We propose Sparse Sinkhorn Attention, a new efficient and sparse method ...
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APTER: Aggregated Prognosis Through Exponential Reweighting
This paper considers the task of learning how to make a prognosis of a p...
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IART: Intentaware Response Ranking with Transformers in Informationseeking Conversation Systems
Personal assistant systems, such as Apple Siri, Google Assistant, Amazon...
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A GMM based algorithm to generate pointcloud and its application to neuroimaging
Recent years have witnessed the emergence of 3D medical imaging techniqu...
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An "augmentationfree" rotation invariant classification scheme on pointcloud and its application to neuroimaging
Recent years have witnessed the emergence and increasing popularity of 3...
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Computing and Testing Small Connectivity in NearLinear Time and Queries via Fast Local Cut Algorithms
Consider the following "local" cutdetection problem in a directed graph...
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Highlyscalable, physicsinformed GANs for learning solutions of stochastic PDEs
Uncertainty quantification for forward and inverse problems is a central...
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POIRot: A rotation invariant omnidirectional pointnet
Pointcloud is an efficient way to represent 3D world. Analysis of point...
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Potential Flow Generator with L_2 Optimal Transport Regularity for Generative Models
We propose a potential flow generator with L_2 optimal transport regular...
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Attentive History Selection for Conversational Question Answering
Conversational question answering (ConvQA) is a simplified but concrete ...
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BERT with History Answer Embedding for Conversational Question Answering
Conversational search is an emerging topic in the information retrieval ...
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A Hybrid RetrievalGeneration Neural Conversation Model
Intelligent personal assistant systems, with either textbased or voice...
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A Faster Local Algorithm for Detecting BoundedSize Cuts with Applications to HigherConnectivity Problems
Consider the following "local" cutdetection problem in a directed graph...
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Contextual Aware Joint Probability Model Towards Question Answering System
In this paper, we address the question answering challenge with the SQuA...
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A Deep Look into Neural Ranking Models for Information Retrieval
Ranking models lie at the heart of research on information retrieval (IR...
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Answer Interaction in Nonfactoid Question Answering Systems
Information retrieval systems are evolving from document retrieval to an...
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User Intent Prediction in Informationseeking Conversations
Conversational assistants are being progressively adopted by the general...
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Learning to Selectively Transfer: Reinforced Transfer Learning for Deep Text Matching
Deep text matching approaches have been widely studied for many applicat...
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PhysicsInformed Generative Adversarial Networks for Stochastic Differential Equations
We developed a new class of physicsinformed generative adversarial netw...
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Neuralnetinduced Gaussian process regression for function approximation and PDE solution
Neuralnetinduced Gaussian process (NNGP) regression inherits both the ...
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Transfer Learning for ContextAware Question Matching in Informationseeking Conversations in Ecommerce
Building multiturn informationseeking conversation systems is an impor...
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WikiPassageQA: A Benchmark Collection for Research on Nonfactoid Answer Passage Retrieval
With the rise in mobile and voice search, answer passage retrieval acts ...
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Response Ranking with Deep Matching Networks and External Knowledge in Informationseeking Conversation Systems
Intelligent personal assistant systems with either textbased or voiceb...
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Analyzing and Characterizing User Intent in Informationseeking Conversations
Understanding and characterizing how people interact in informationseek...
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RiskAverse Matchings over Uncertain Graph Databases
A large number of applications such as querying sensor networks, and ana...
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aNMM: Ranking Short Answer Texts with AttentionBased Neural Matching Model
As an alternative to question answering methods based on feature enginee...
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A Prediction Model of the Project Lifespan in Open Source Software Ecosystem
In nature ecosystems, animal lifespans are determined by genes and some...
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A Note on Property Testing Sum of Squares and Multivariate Polynomial Interpolation
In this paper, we investigate property testing whether or not a degree d...
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Learning with Changing Features
In this paper we study the setting where features are added or change in...
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Dynamic matrix factorization with social influence
Matrix factorization is a key component of collaborative filteringbased...
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Statistical Learning under Nonstationary Mixing Processes
We study a special case of the problem of statistical learning without t...
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Minimax Analysis of Active Learning
This work establishes distributionfree upper and lower bounds on the mi...
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Surrogate Losses in Passive and Active Learning
Active learning is a type of sequential design for supervised machine le...
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Bayesian Active Distance Metric Learning
Distance metric learning is an important component for many tasks, such ...
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