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09/19/2023
Rigorously Assessing Natural Language Explanations of Neurons
Natural language is an appealing medium for explaining how large languag...
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08/21/2023
Model-Free Large-Scale Cloth Spreading With Mobile Manipulation: Initial Feasibility Study
Cloth manipulation is common in domestic and service tasks, and most stu...
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05/30/2023
Unsupervised Melody-to-Lyric Generation
Automatic melody-to-lyric generation is a task in which song lyrics are ...
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05/26/2023
Code-Switched Text Synthesis in Unseen Language Pairs
Existing efforts on text synthesis for code-switching mostly require tra...
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05/12/2023
Unsupervised Melody-Guided Lyrics Generation
Automatic song writing is a topic of significant practical interest. How...
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04/02/2023
Gallai-like characterization of strong cocomparability graphs
Strong cocomparability graphs are the reflexive graphs whose adjacency m...
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02/23/2023
Estimating the Instantaneous Reproduction Number With Imperfect Data: A Method to Account for Case-Reporting Variation and Serial Interval Uncertainty
During an infectious disease outbreak, public health decision-makers req...
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01/23/2023
Crowd3D: Towards Hundreds of People Reconstruction from a Single Image
Image-based multi-person reconstruction in wide-field large scenes is cr...
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12/19/2022
Inducing Character-level Structure in Subword-based Language Models with Type-level Interchange Intervention Training
Language tasks involving character-level manipulations (e.g., spelling c...
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12/16/2022
Robust modeling and inference of disease transmission using error-prone data with application to SARS-CoV-2
Modeling disease transmission is important yet challenging during a pand...
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10/13/2022
Task Grouping for Multilingual Text Recognition
Most existing OCR methods focus on alphanumeric characters due to the po...
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09/13/2022
Semi-strict chordality of digraphs
Chordal graphs are important in algorithmic graph theory. Chordal digrap...
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08/03/2022
SpanDrop: Simple and Effective Counterfactual Learning for Long Sequences
Distilling supervision signal from a long sequence to make predictions i...
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06/27/2022
Video2StyleGAN: Encoding Video in Latent Space for Manipulation
Many recent works have been proposed for face image editing by leveragin...
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03/29/2022
PoseTriplet: Co-evolving 3D Human Pose Estimation, Imitation, and Hallucination under Self-supervision
Existing self-supervised 3D human pose estimation schemes have largely r...
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03/01/2022
Improving Time Sensitivity for Question Answering over Temporal Knowledge Graphs
Question answering over temporal knowledge graphs (KGs) efficiently uses...
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01/18/2022
Cross-modal Contrastive Distillation for Instructional Activity Anticipation
In this study, we aim to predict the plausible future action steps given...
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09/11/2021
Semantic Categorization of Social Knowledge for Commonsense Question Answering
Large pre-trained language models (PLMs) have led to great success on va...
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06/09/2021
Joint System-Wise Optimization for Pipeline Goal-Oriented Dialog System
Recent work (Takanobu et al., 2020) proposed the system-wise evaluation ...
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05/13/2021
Conversational AI Systems for Social Good: Opportunities and Challenges
Conversational artificial intelligence (ConvAI) systems have attracted m...
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05/12/2021
TextOCR: Towards large-scale end-to-end reasoning for arbitrary-shaped scene text
A crucial component for the scene text based reasoning required for Text...
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05/03/2021
UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks
Hypergraph, an expressive structure with flexibility to model the higher...
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05/02/2021
Residual Enhanced Multi-Hypergraph Neural Network
Hypergraphs are a generalized data structure of graphs to model higher-o...
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03/29/2021
A Multiplexed Network for End-to-End, Multilingual OCR
Recent advances in OCR have shown that an end-to-end (E2E) training pipe...
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03/12/2021
Graph Ensemble Learning over Multiple Dependency Trees for Aspect-level Sentiment Classification
Recent work on aspect-level sentiment classification has demonstrated th...
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10/21/2020
Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling
Document-level relation extraction (RE) poses new challenges compared to...
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09/29/2020
Direct Multi-hop Attention based Graph Neural Network
Introducing self-attention mechanism in graph neural networks (GNNs) ach...
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09/19/2020
Inductive Learning on Commonsense Knowledge Graph Completion
Commonsense knowledge graph (CKG) is a special type of knowledge graph (...
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08/27/2020
Entity and Evidence Guided Relation Extraction for DocRED
Document-level relation extraction is a challenging task which requires ...
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07/18/2020
Mask TextSpotter v3: Segmentation Proposal Network for Robust Scene Text Spotting
Recent end-to-end trainable methods for scene text spotting, integrating...
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07/17/2020
SkipConvNet: Skip Convolutional Neural Network for Speech Dereverberation using Optimally Smoothed Spectral Mapping
The reliability of using fully convolutional networks (FCNs) has been su...
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07/08/2020
Mastering the working sequence in human-robot collaborative assembly based on reinforcement learning
A long-standing goal of the Human-Robot Collaboration (HRC) in manufactu...
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07/03/2020
Improving Weakly Supervised Visual Grounding by Contrastive Knowledge Distillation
Weakly supervised phrase grounding aims at learning region-phrase corres...
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04/04/2020
Graph Sequential Network for Reasoning over Sequences
Recently Graph Neural Network (GNN) has been applied successfully to var...
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11/24/2019
Deep Visual Waterline Detection within Inland Marine Environment
Waterline usually plays as an important visual cue for maritime applicat...
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11/09/2019
Orthogonal Relation Transforms with Graph Context Modeling for Knowledge Graph Embedding
Translational distance-based knowledge graph embedding has shown progres...
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11/04/2019
Speaker-invariant Affective Representation Learning via Adversarial Training
Representation learning for speech emotion recognition is challenging du...
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11/01/2019
Select, Answer and Explain: Interpretable Multi-hop Reading Comprehension over Multiple Documents
Interpretable multi-hop reading comprehension (RC) over multiple documen...
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10/25/2019
Improving Graph Attention Networks with Large Margin-based Constraints
Graph Attention Networks (GATs) are the state-of-the-art neural architec...
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10/24/2019
Selective Attention Based Graph Convolutional Networks for Aspect-Level Sentiment Classification
Aspect-level sentiment classification aims to identify the sentiment pol...
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10/23/2019
Relation Module for Non-answerable Prediction on Question Answering
Machine reading comprehension(MRC) has attracted significant amounts of ...
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09/09/2019
Strongly chordal digraphs and Γ-free matrices
We define strongly chordal digraphs, which generalize strongly chordal g...
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08/29/2019
Zero-shot Text-to-SQL Learning with Auxiliary Task
Recent years have seen great success in the use of neural seq2seq models...
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08/05/2019
Cross-lingual Text-independent Speaker Verification using Unsupervised Adversarial Discriminative Domain Adaptation
Speaker verification systems often degrade significantly when there is a...
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06/12/2019
Multiple instance learning with graph neural networks
Multiple instance learning (MIL) aims to learn the mapping between a bag...
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05/17/2019
Multi-hop Reading Comprehension across Multiple Documents by Reasoning over Heterogeneous Graphs
Multi-hop reading comprehension (RC) across documents poses new challeng...
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04/16/2019
I4U Submission to NIST SRE 2018: Leveraging from a Decade of Shared Experiences
The I4U consortium was established to facilitate a joint entry to NIST s...
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03/22/2019
Towards adversarial learning of speaker-invariant representation for speech emotion recognition
Speech emotion recognition (SER) has attracted great attention in recent...
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03/05/2019
An interior penalty discontinuous Galerkin method for the time-domain acoustic-elastic wave interaction problem
In this paper, we consider numerical solutions of a time domain acoustic...
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02/21/2019