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07/25/2023
Comparing Forward and Inverse Design Paradigms: A Case Study on Refractory High-Entropy Alloys
The rapid design of advanced materials is a topic of great scientific in...
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06/10/2023
ORGAN: Observation-Guided Radiology Report Generation via Tree Reasoning
This paper explores the task of radiology report generation, which aims ...
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05/29/2023
Medical Dialogue Generation via Dual Flow Modeling
Medical dialogue systems (MDS) aim to provide patients with medical serv...
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05/24/2023
Theoretically Principled Federated Learning for Balancing Privacy and Utility
We propose a general learning framework for the protection mechanisms th...
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05/09/2023
Dialogue Planning via Brownian Bridge Stochastic Process for Goal-directed Proactive Dialogue
Goal-directed dialogue systems aim to proactively reach a pre-determined...
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04/21/2023
An Optimization Framework For Anomaly Detection Scores Refinement With Side Information
This paper considers an anomaly detection problem in which a detection a...
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04/15/2023
CoVLR: Coordinating Cross-Modal Consistency and Intra-Modal Structure for Vision-Language Retrieval
Current vision-language retrieval aims to perform cross-modal instance s...
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04/11/2023
A Game-theoretic Framework for Federated Learning
In federated learning, benign participants aim to optimize a global mode...
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03/07/2023
PyXAB – A Python Library for 𝒳-Armed Bandit and Online Blackbox Optimization Algorithms
We introduce a Python open-source library for 𝒳-armed bandit and online ...
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02/24/2023
Improving Sentence Similarity Estimation for Unsupervised Extractive Summarization
Unsupervised extractive summarization aims to extract salient sentences ...
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02/02/2023
Deep-Learning Tool for Early Identifying Non-Traumatic Intracranial Hemorrhage Etiology based on CT Scan
Background: To develop an artificial intelligence system that can accura...
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01/13/2023
A Framework for the Evaluation of Network Reliability Under Periodic Demand
In this paper, we study network reliability in relation to a periodic ti...
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12/29/2022
Efficient Image Super-Resolution with Feature Interaction Weighted Hybrid Network
Recently, great progress has been made in single-image super-resolution ...
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12/15/2022
COLA: Improving Conversational Recommender Systems by Collaborative Augmentation
Conversational recommender systems (CRS) aim to employ natural language ...
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11/29/2022
Few-shot Query-Focused Summarization with Prefix-Merging
Query-focused summarization has been considered as an important extensio...
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11/18/2022
Always Valid Risk Monitoring for Online Matrix Completion
Always-valid concentration inequalities are increasingly used as perform...
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11/01/2022
CARE: Causality Reasoning for Empathetic Responses by Conditional Graph Generation
Recent approaches to empathetic response generation incorporate emotion ...
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10/09/2022
Improving Multi-turn Emotional Support Dialogue Generation with Lookahead Strategy Planning
Providing Emotional Support (ES) to soothe people in emotional distress ...
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09/30/2022
Vertical Semi-Federated Learning for Efficient Online Advertising
As an emerging secure learning paradigm in leveraging cross-silo private...
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09/26/2022
Modeling Content-Emotion Duality via Disentanglement for Empathetic Conversation
The task of empathetic response generation aims to understand what feeli...
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08/24/2022
Addressing Token Uniformity in Transformers via Singular Value Transformation
Token uniformity is commonly observed in transformer-based models, in wh...
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08/24/2022
Visual Subtitle Feature Enhanced Video Outline Generation
With the tremendously increasing number of videos, there is a great dema...
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08/22/2022
Revising Image-Text Retrieval via Multi-Modal Entailment
An outstanding image-text retrieval model depends on high-quality labele...
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08/06/2022
Follow Me: Conversation Planning for Target-driven Recommendation Dialogue Systems
Recommendation dialogue systems aim to build social bonds with users and...
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07/06/2022
Cross-receptive Focused Inference Network for Lightweight Image Super-Resolution
With the development of deep learning, single image super-resolution (SI...
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05/31/2022
Semi-Supervised Cross-Silo Advertising with Partial Knowledge Transfer
As an emerging secure learning paradigm in leveraging cross-agency priva...
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05/30/2022
Federated X-Armed Bandit
This work establishes the first framework of federated 𝒳-armed bandit, w...
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05/23/2022
A Coupling Enhancement Algorithm for ZrO2 Ceramic Bearing Ball Surface Defect Detection Based on Cartoon-texture Decomposition Model and Multi-Scale Filtering Method
This study aimed to improve the surface defect detection accuracy of ZrO...
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04/29/2022
"My nose is running.""Are you also coughing?": Building A Medical Diagnosis Agent with Interpretable Inquiry Logics
With the rise of telemedicine, the task of developing Dialogue Systems f...
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04/28/2022
Lightweight Bimodal Network for Single-Image Super-Resolution via Symmetric CNN and Recursive Transformer
Single-image super-resolution (SISR) has achieved significant breakthrou...
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02/27/2022
Federated Online Sparse Decision Making
This paper presents a novel federated linear contextual bandits model, w...
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12/16/2021
Feature Distillation Interaction Weighting Network for Lightweight Image Super-Resolution
Convolutional neural networks based single-image super-resolution (SISR)...
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11/20/2021
CamLiFlow: Bidirectional Camera-LiDAR Fusion for Joint Optical Flow and Scene Flow Estimation
In this paper, we study the problem of jointly estimating the optical fl...
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10/09/2021
Empathetic Response Generation through Graph-based Multi-hop Reasoning on Emotional Causality
Empathetic response generation aims to comprehend the user emotion and t...
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08/26/2021
Alleviating Exposure Bias via Contrastive Learning for Abstractive Text Summarization
Encoder-decoder models have achieved remarkable success in abstractive t...
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06/17/2021
Optimum-statistical collaboration towards efficient black-box optimization
With increasingly more hyperparameters involved in their training, machi...
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05/26/2021
Distributed Zeroth-Order Stochastic Optimization in Time-varying Networks
We consider a distributed convex optimization problem in a network which...
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04/19/2021
Distributed Derivative-free Learning Method for Stochastic Optimization over a Network with Sparse Activity
This paper addresses a distributed optimization problem in a communicati...
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04/17/2021
Data Distillation for Text Classification
Deep learning techniques have achieved great success in many fields, whi...
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04/17/2021
A Graph-guided Multi-round Retrieval Method for Conversational Open-domain Question Answering
In recent years, conversational agents have provided a natural and conve...
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02/18/2021
A Simple Unified Framework for High Dimensional Bandit Problems
Stochastic high dimensional bandit problems with low dimensional structu...
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01/18/2021
Incremental Knowledge Based Question Answering
In the past years, Knowledge-Based Question Answering (KBQA), which aims...
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12/26/2020
Variance Reduction on Adaptive Stochastic Mirror Descent
We study the idea of variance reduction applied to adaptive stochastic m...
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11/19/2020
Fact-level Extractive Summarization with Hierarchical Graph Mask on BERT
Most current extractive summarization models generate summaries by selec...
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05/19/2020
Improving Accent Conversion with Reference Encoder and End-To-End Text-To-Speech
Accent conversion (AC) transforms a non-native speaker's accent into a n...
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05/12/2020
Increased-confidence adversarial examples for improved transferability of Counter-Forensic attacks
Transferability of adversarial examples is a key issue to study the secu...
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04/21/2020
AdaX: Adaptive Gradient Descent with Exponential Long Term Memory
Although adaptive optimization algorithms such as Adam show fast converg...
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01/30/2020
How Does BN Increase Collapsed Neural Network Filters?
Improving sparsity of deep neural networks (DNNs) is essential for netwo...
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06/03/2019
Jointly Learning Semantic Parser and Natural Language Generator via Dual Information Maximization
Semantic parsing aims to transform natural language (NL) utterances into...
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05/11/2019
