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09/21/2023
On-the-Fly SfM: What you capture is What you get
Over the last decades, ample achievements have been made on Structure fr...
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09/14/2023
DDSP-based Neural Waveform Synthesis of Polyphonic Guitar Performance from String-wise MIDI Input
We explore the use of neural synthesis for acoustic guitar from string-w...
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09/09/2023
Benne: A Modular and Self-Optimizing Algorithm for Data Stream Clustering
In various real-world applications, ranging from the Internet of Things ...
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08/20/2023
A Survey on Fairness in Large Language Models
Large language models (LLMs) have shown powerful performance and develop...
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07/11/2023
Mixed-Precision Quantization with Cross-Layer Dependencies
Quantization is commonly used to compress and accelerate deep neural net...
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07/04/2023
SageFormer: Series-Aware Graph-Enhanced Transformers for Multivariate Time Series Forecasting
Multivariate time series forecasting plays a critical role in diverse do...
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05/24/2023
WeiAvg: Federated Learning Model Aggregation Promoting Data Diversity
Federated learning provides a promising privacy-preserving way for utili...
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05/24/2023
Refocusing Is Key to Transfer Learning
Transfer learning involves adapting a pre-trained model to novel downstr...
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05/24/2023
Gorilla: Large Language Model Connected with Massive APIs
Large Language Models (LLMs) have seen an impressive wave of advances re...
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05/05/2023
DisenBooth: Disentangled Parameter-Efficient Tuning for Subject-Driven Text-to-Image Generation
Given a small set of images of a specific subject, subject-driven text-t...
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04/29/2023
An Implicit Alignment for Video Super-Resolution
Video super-resolution commonly uses a frame-wise alignment to support t...
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03/13/2023
A Survey of Graph Prompting Methods: Techniques, Applications, and Challenges
While deep learning has achieved great success on various tasks, the tas...
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03/01/2023
Selectively Hard Negative Mining for Alleviating Gradient Vanishing in Image-Text Matching
Recently, a series of Image-Text Matching (ITM) methods achieve impressi...
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01/30/2023
Alternating Updates for Efficient Transformers
It is well established that increasing scale in deep transformer network...
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11/29/2022
Hiding speaker's sex in speech using zero-evidence speaker representation in an analysis/synthesis pipeline
The use of modern vocoders in an analysis/synthesis pipeline allows us t...
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11/25/2022
Can Knowledge of End-to-End Text-to-Speech Models Improve Neural MIDI-to-Audio Synthesis Systems?
With the similarity between music and speech synthesis from symbolic inp...
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07/19/2022
Covering Grassmannian Codes: Bounds and Constructions
Grassmannian 𝒢_q(n,k) is the set of all k-dimensional subspaces of the v...
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07/18/2022
Rank-based Decomposable Losses in Machine Learning: A Survey
Recent works have revealed an essential paradigm in designing loss funct...
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06/15/2022
A Comprehensive Survey on Deep Clustering: Taxonomy, Challenges, and Future Directions
Clustering is a fundamental machine learning task which has been widely ...
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04/11/2022
The PartialSpoof Database and Countermeasures for the Detection of Short Generated Audio Segments Embedded in a Speech Utterance
Automatic speaker verification is susceptible to various manipulations a...
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12/20/2021
Blockchain Mining with Multiple Selfish Miners
This paper studies a fundamental problem regarding the security of block...
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11/17/2021
Long-Tailed Multi-Label Retinal Diseases Recognition Using Hierarchical Information and Hybrid Knowledge Distillation
In the real world, medical datasets often exhibit a long-tailed data dis...
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10/28/2021
Ultimate Limits of Quantum Channel Discrimination
This paper studies the difficulty of discriminating quantum channels und...
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07/29/2021
ReFormer: The Relational Transformer for Image Captioning
Image captioning is shown to be able to achieve a better performance by ...
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06/14/2021
An adaptive high-order surface finite element method for the self-consistent field theory on general curved surfaces
In this paper, we develop an adaptive high-order surface finite element ...
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06/08/2021
DETReg: Unsupervised Pretraining with Region Priors for Object Detection
Unsupervised pretraining has recently proven beneficial for computer vis...
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04/04/2021
Attention Back-end for Automatic Speaker Verification with Multiple Enrollment Utterances
A back-end model is a key element of modern speaker verification systems...
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01/22/2021
A Closer Look at Temporal Sentence Grounding in Videos: Datasets and Metrics
Despite Temporal Sentence Grounding in Videos (TSGV) has realized impres...
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12/10/2020
Variational Quantum Algorithms for Trace Distance and Fidelity Estimation
Estimating the difference between quantum data is crucial in quantum com...
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11/25/2020
Attention Aware Cost Volume Pyramid Based Multi-view Stereo Network for 3D Reconstruction
We present an efficient multi-view stereo (MVS) network for 3D reconstru...
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06/03/2020
Variational Quantum Singular Value Decomposition
Singular value decomposition is central to many problems in both enginee...
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06/01/2020
A Comprehensive Survey of Neural Architecture Search: Challenges and Solutions
Deep learning has made major breakthroughs and progress in many fields. ...
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03/23/2020
Bridge the Domain Gap Between Ultra-wide-field and Traditional Fundus Images via Adversarial Domain Adaptation
For decades, advances in retinal imaging technology have enabled effecti...
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03/16/2020
Frustratingly Simple Few-Shot Object Detection
Detecting rare objects from a few examples is an emerging problem. Prior...
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03/01/2020
Environment-agnostic Multitask Learning for Natural Language Grounded Navigation
Recent research efforts enable study for natural language grounded navig...
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02/20/2020
Improving Sampling Accuracy of Stochastic Gradient MCMC Methods via Non-uniform Subsampling of Gradients
Common Stochastic Gradient MCMC methods approximate gradients by stochas...
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09/04/2019
TIGEr: Text-to-Image Grounding for Image Caption Evaluation
This paper presents a new metric called TIGEr for the automatic evaluati...
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06/17/2019
Time-dependent Hamiltonian simulation with L^1-norm scaling
The difficulty of simulating quantum dynamics depends on the norm of the...
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04/17/2019
MOSNet: Deep Learning based Objective Assessment for Voice Conversion
Existing objective evaluation metrics for voice conversion (VC) are not ...
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04/06/2019
VATEX: A Large-Scale, High-Quality Multilingual Dataset for Video-and-Language Research
We present a new large-scale multilingual video description dataset, VAT...
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03/25/2019
DeepCenterline: a Multi-task Fully Convolutional Network for Centerline Extraction
A novel centerline extraction framework is reported which combines an en...
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02/15/2019
Parameter Efficient Training of Deep Convolutional Neural Networks by Dynamic Sparse Reparameterization
Deep neural networks are typically highly over-parameterized with prunin...
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01/31/2019
HAHE: Hierarchical Attentive Heterogeneous Information Network Embedding
Given the intractability of large scale HIN, network embedding which lea...
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12/05/2018
Few-shot Object Detection via Feature Reweighting
This work aims to solve the challenging few-shot object detection proble...
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09/25/2018
Exact entanglement cost of quantum states and channels under PPT-preserving operations
This paper establishes single-letter formulas for the exact entanglement...
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06/05/2018
Deep Mixture of Experts via Shallow Embedding
Larger networks generally have greater representational power at the cos...
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03/02/2018
Can we steal your vocal identity from the Internet?: Initial investigation of cloning Obama's voice using GAN, WaveNet and low-quality found data
Thanks to the growing availability of spoofing databases and rapid advan...
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11/26/2017
