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08/24/2023
SC-PSRO: A Unified Strategy Learning Method for Normal-form Games
Solving Nash equilibrium is the key challenge in normal-form games with ...
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08/23/2023
CgT-GAN: CLIP-guided Text GAN for Image Captioning
The large-scale visual-language pre-trained model, Contrastive Language-...
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07/19/2023
Multi-modal Learning based Prediction for Disease
Non alcoholic fatty liver disease (NAFLD) is the most common cause of ch...
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07/12/2023
Bi-Touch: Bimanual Tactile Manipulation with Sim-to-Real Deep Reinforcement Learning
Bimanual manipulation with tactile feedback will be key to human-level r...
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05/04/2023
Sentence Embedding Leaks More Information than You Expect: Generative Embedding Inversion Attack to Recover the Whole Sentence
Sentence-level representations are beneficial for various natural langua...
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04/11/2023
Multi-step Jailbreaking Privacy Attacks on ChatGPT
With the rapid progress of large language models (LLMs), many downstream...
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03/22/2023
NeuronsMAE: A Novel Multi-Agent Reinforcement Learning Environment for Cooperative and Competitive Multi-Robot Tasks
Multi-agent reinforcement learning (MARL) has achieved remarkable succes...
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03/17/2023
Fixed Design Analysis of Regularization-Based Continual Learning
We consider a continual learning (CL) problem with two linear regression...
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03/17/2023
TKN: Transformer-based Keypoint Prediction Network For Real-time Video Prediction
Video prediction is a complex time-series forecasting task with great po...
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03/16/2023
Tactile-Driven Gentle Grasping for Human-Robot Collaborative Tasks
This paper presents a control scheme for force sensitive, gentle graspin...
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02/11/2023
Cross-domain Random Pre-training with Prototypes for Reinforcement Learning
Task-agnostic cross-domain pre-training shows great potential in image-b...
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12/24/2022
STRUDEL: Structured Dialogue Summarization for Dialogue Comprehension
Abstractive dialogue summarization has long been viewed as an important ...
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12/19/2022
Improving Faithfulness of Abstractive Summarization by Controlling Confounding Effect of Irrelevant Sentences
Lack of factual correctness is an issue that still plagues state-of-the-...
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11/15/2022
ED-FAITH: Evaluating Dialogue Summarization on Faithfulness
Abstractive summarization models typically generate content unfaithful t...
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11/15/2022
DIGEST: Deeply supervIsed knowledGE tranSfer neTwork learning for brain tumor segmentation with incomplete multi-modal MRI scans
Brain tumor segmentation based on multi-modal magnetic resonance imaging...
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09/28/2022
Prompt-driven efficient Open-set Semi-supervised Learning
Open-set semi-supervised learning (OSSL) has attracted growing interest,...
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07/04/2022
Domain Adaptive Nuclei Instance Segmentation and Classification via Category-aware Feature Alignment and Pseudo-labelling
Unsupervised domain adaptation (UDA) methods have been broadly utilized ...
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06/25/2022
BRL/Pisa/IIT SoftHand: A Low-cost, 3D-Printed, Underactuated, Tendon-Driven Hand with Soft and Adaptive Synergies
This paper introduces the BRL/Pisa/IIT (BPI) SoftHand: a single actuator...
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06/01/2022
CoNSoLe: Convex Neural Symbolic Learning
Learning the underlying equation from data is a fundamental problem in m...
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05/22/2022
An Analytical Range-Angle Dependent Beam Focusing Model for Terahertz Linear Antenna Array
This paper considers a scenario in which the Terahertz (THz) transmitter...
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04/26/2022
You Don't Know My Favorite Color: Preventing Dialogue Representations from Revealing Speakers' Private Personas
Social chatbots, also known as chit-chat chatbots, evolve rapidly with l...
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03/09/2022
Shfl-BW: Accelerating Deep Neural Network Inference with Tensor-Core Aware Weight Pruning
Weight pruning in deep neural networks (DNNs) can reduce storage and com...
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12/20/2021
Load-balanced Gather-scatter Patterns for Sparse Deep Neural Networks
Deep neural networks (DNNs) have been proven to be effective in solving ...
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12/16/2021
CONFIT: Toward Faithful Dialogue Summarization with Linguistically-Informed Contrastive Fine-tuning
Factual inconsistencies in generated summaries severely limit the practi...
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11/11/2021
AnswerSumm: A Manually-Curated Dataset and Pipeline for Answer Summarization
Community Question Answering (CQA) fora such as Stack Overflow and Yahoo...
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11/03/2021
The Powerful Use of AI in the Energy Sector: Intelligent Forecasting
Artificial Intelligence (AI) techniques continue to broaden across gover...
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10/08/2021
ABCP: Automatic Block-wise and Channel-wise Network Pruning via Joint Search
Currently, an increasing number of model pruning methods are proposed to...
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09/27/2021
The JDDC 2.0 Corpus: A Large-Scale Multimodal Multi-Turn Chinese Dialogue Dataset for E-commerce Customer Service
With the development of the Internet, more and more people get accustome...
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09/19/2021
Investigating Crowdsourcing Protocols for Evaluating the Factual Consistency of Summaries
Current pre-trained models applied to summarization are prone to factual...
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06/30/2021
Mixed Cross Entropy Loss for Neural Machine Translation
In neural machine translation, cross entropy (CE) is the standard loss f...
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06/03/2021
Syntax-augmented Multilingual BERT for Cross-lingual Transfer
In recent years, we have seen a colossal effort in pre-training multilin...
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06/01/2021
ConvoSumm: Conversation Summarization Benchmark and Improved Abstractive Summarization with Argument Mining
While online conversations can cover a vast amount of information in man...
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05/17/2021
Federated Knowledge Graphs Embedding
In this paper, we propose a novel decentralized scalable learning framew...
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05/14/2021
EASE: Extractive-Abstractive Summarization with Explanations
Current abstractive summarization systems outperform their extractive co...
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04/17/2021
Lifelong Learning with Sketched Structural Regularization
Preventing catastrophic forgetting while continually learning new tasks ...
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04/14/2021
K-PLUG: Knowledge-injected Pre-trained Language Model for Natural Language Understanding and Generation in E-Commerce
Existing pre-trained language models (PLMs) have demonstrated the effect...
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10/24/2020
Improving Zero and Few-Shot Abstractive Summarization with Intermediate Fine-tuning and Data Augmentation
Models pretrained with self-supervised objectives on large text corpora ...
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09/28/2020
Conversational Semantic Parsing
The structured representation for semantic parsing in task-oriented assi...
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09/15/2020
Multimodal Joint Attribute Prediction and Value Extraction for E-commerce Product
Product attribute values are essential in many e-commerce scenarios, suc...
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08/21/2020
MTOP: A Comprehensive Multilingual Task-Oriented Semantic Parsing Benchmark
Scaling semantic parsing models for task-oriented dialog systems to new ...
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07/23/2020
Deep Reinforcement Learning based Automatic Exploration for Navigation in Unknown Environment
This paper investigates the automatic exploration problem under the unkn...
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06/15/2020
AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks
The compression of Generative Adversarial Networks (GANs) has lately dra...
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04/29/2020
General Purpose Text Embeddings from Pre-trained Language Models for Scalable Inference
The state of the art on many NLP tasks is currently achieved by large pr...
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04/18/2020
BiFNet: Bidirectional Fusion Network for Road Segmentation
Multi-sensor fusion-based road segmentation plays an important role in t...
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04/13/2020
Multi-modal Datasets for Super-resolution
Nowdays, most datasets used to train and evaluate super-resolution model...
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12/28/2019
Optimal Multi-View Video Transmission in OFDMA Systems
In this letter, we study the transmission of a multi-view video (MVV) to...
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12/13/2019
Music-oriented Dance Video Synthesis with Pose Perceptual Loss
We present a learning-based approach with pose perceptual loss for autom...
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11/12/2019
Predictive Multi-level Patient Representations from Electronic Health Records
The advent of the Internet era has led to an explosive growth in the Ele...
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11/04/2019
Emerging Cross-lingual Structure in Pretrained Language Models
We study the problem of multilingual masked language modeling, i.e. the ...
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03/20/2019