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09/16/2023
Delving into Multimodal Prompting for Fine-grained Visual Classification
Fine-grained visual classification (FGVC) involves categorizing fine sub...
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08/07/2023
Almost-sure convergence of iterates and multipliers in stochastic sequential quadratic optimization
Stochastic sequential quadratic optimization (SQP) methods for solving c...
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07/05/2023
CAME: Confidence-guided Adaptive Memory Efficient Optimization
Adaptive gradient methods, such as Adam and LAMB, have demonstrated exce...
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03/17/2023
DialogPaint: A Dialog-based Image Editing Model
We present DialogPaint, an innovative framework that employs an interact...
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02/28/2023
A survey of path planning and feedrate interpolation in computer numerical control
This paper presents a brief survey (in Chinese) on path planning and fee...
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11/21/2022
Label Mask AutoEncoder(L-MAE): A Pure Transformer Method to Augment Semantic Segmentation Datasets
Semantic segmentation models based on the conventional neural network ca...
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06/17/2022
Boosting Graph Structure Learning with Dummy Nodes
With the development of graph kernels and graph representation learning,...
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04/12/2022
CorrectSpeech: A Fully Automated System for Speech Correction and Accent Reduction
This study extends our previous work on text-based speech editing to dev...
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02/14/2022
Wukong: 100 Million Large-scale Chinese Cross-modal Pre-training Dataset and A Foundation Framework
This paper presents a large-scale Chinese cross-modal dataset for benchm...
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11/09/2021
FILIP: Fine-grained Interactive Language-Image Pre-Training
Unsupervised large-scale vision-language pre-training has shown promisin...
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10/26/2021
Robust Multi-view Registration of Point Sets with Laplacian Mixture Model
Point set registration is an essential step in many computer vision appl...
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09/30/2021
Towards Efficient Post-training Quantization of Pre-trained Language Models
Network quantization has gained increasing attention with the rapid grow...
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08/10/2021
SynCoBERT: Syntax-Guided Multi-Modal Contrastive Pre-Training for Code Representation
Code representation learning, which aims to encode the semantics of sour...
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08/03/2021
Consolidating Kinematic Models to Promote Coordinated Mobile Manipulations
We construct a Virtual Kinematic Chain (VKC) that readily consolidates t...
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07/15/2021
AutoBERT-Zero: Evolving BERT Backbone from Scratch
Transformer-based pre-trained language models like BERT and its variants...
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07/04/2021
EditSpeech: A Text Based Speech Editing System Using Partial Inference and Bidirectional Fusion
This paper presents the design, implementation and evaluation of a speec...
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06/02/2021
Exploring Discourse Structures for Argument Impact Classification
Discourse relations among arguments reveal logical structures of a debat...
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05/30/2021
Deformation Control of a Deformable Object Based on Visual and Tactile Feedback
In this paper, we presented a new method for deformation control of defo...
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03/21/2021
KPI Method for Dynamic Surface Reconstruction With B-splines based on Sparse Data
High dimensional B-splines are catching tremendous attentions in fields ...
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01/18/2021
Red Alarm for Pre-trained Models: Universal Vulnerabilities by Neuron-Level Backdoor Attacks
Due to the success of pre-trained models (PTMs), people usually fine-tun...
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12/12/2020
Query-free Black-box Adversarial Attacks on Graphs
Many graph-based machine learning models are known to be vulnerable to a...
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11/05/2020
Simulation-Based Performance Prediction of HPC Applications: A Case Study of HPL
We propose a simulation-based approach for performance modeling of paral...
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09/28/2020
A Large Scale Benchmark and an Inclusion-Based Algorithm for Continuous Collision Detection
We introduce a large scale benchmark for continuous collision detection ...
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07/09/2020
Unsupervised Text Generation by Learning from Search
In this work, we present TGLS, a novel framework to unsupervised Text Ge...
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04/27/2020
On the Importance of Word and Sentence Representation Learning in Implicit Discourse Relation Classification
Implicit discourse relation classification is one of the most difficult ...
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12/25/2019
Neural Subgraph Isomorphism Counting
In this paper, we study a new graph learning problem: learning to count ...
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11/12/2019
HMTNet:3D Hand Pose Estimation from Single Depth Image Based on Hand Morphological Topology
Thanks to the rapid development of CNNs and depth sensors, great progres...
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10/20/2019
Personalizing Graph Neural Networks with Attention Mechanism for Session-based Recommendation
The problem of personalized session-based recommendation aims to predict...
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09/23/2019
Pose Estimation for Texture-less Shiny Objects in a Single RGB Image Using Synthetic Training Data
In the industrial domain, the pose estimation of multiple texture-less s...
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09/20/2019
Object grasping planning for the situation when soft and rigid objects are mixed together
In this paper, we propose a object detection method expressed as rotated...
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09/19/2019
Assembly of randomly placed parts realized by using only one robot arm with a general parallel-jaw gripper
In industry assembly lines, parts feeding machines are widely employed a...
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08/31/2019
NEZHA: Neural Contextualized Representation for Chinese Language Understanding
The pre-trained language models have achieved great successes in various...
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08/21/2019
Dialog State Tracking with Reinforced Data Augmentation
Neural dialog state trackers are generally limited due to the lack of qu...
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06/29/2019
GPT-based Generation for Classical Chinese Poetry
We present a simple yet effective method for generating high quality cla...
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06/24/2019
Decomposable Neural Paraphrase Generation
Paraphrasing exists at different granularity levels, such as lexical lev...
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06/15/2019
Txilm: Lossy Block Compression with Salted Short Hashing
Current blockchains are restricted by the low throughput. Aimed at this ...
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05/25/2019
Triple-to-Text: Converting RDF Triples into High-Quality Natural Languages via Optimizing an Inverse KL Divergence
Knowledge base is one of the main forms to represent information in a st...
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05/17/2019
ERNIE: Enhanced Language Representation with Informative Entities
Neural language representation models such as BERT pre-trained on large-...
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02/24/2019
Vision Based Picking System for Automatic Express Package Dispatching
This paper presents a vision based robotic system to handle the picking ...
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02/24/2019
Efficient Fully Convolution Neural Network for Generating Pixel Wise Robotic Grasps With High Resolution Images
This paper presents an efficient neural network model to generate roboti...
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12/26/2018
Meta Learning for Few-shot Keyword Spotting
Keyword spotting with limited training data is a challenging task which ...
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11/01/2018
Progressive Memory Banks for Incremental Domain Adaptation
This paper addresses the problem of incremental domain adaptation (IDA)....
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02/23/2018
Interpretable Charge Predictions for Criminal Cases: Learning to Generate Court Views from Fact Descriptions
In this paper, we propose to study the problem of COURT VIEW GENeration ...
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11/01/2017
Paraphrase Generation with Deep Reinforcement Learning
Automatic generation of paraphrases for a given sentence is an important...
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09/12/2017
Affective Neural Response Generation
Existing neural conversational models process natural language primarily...
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12/12/2016
Deep Active Learning for Dialogue Generation
We propose an online, end-to-end, neural generative conversational model...
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09/12/2016
Online Data Thinning via Multi-Subspace Tracking
In an era of ubiquitous large-scale streaming data, the availability of ...
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12/04/2015