research
∙
08/25/2023
1.5 million materials narratives generated by chatbots
The advent of artificial intelligence (AI) has enabled a comprehensive e...
share
research
∙
07/04/2023
ProPILE: Probing Privacy Leakage in Large Language Models
The rapid advancement and widespread use of large language models (LLMs)...
research
∙
06/28/2023
Mass Spectra Prediction with Structural Motif-based Graph Neural Networks
Mass spectra, which are agglomerations of ionized fragments from targete...
research
∙
06/28/2023
UnitSpeech: Speaker-adaptive Speech Synthesis with Untranscribed Data
We propose UnitSpeech, a speaker-adaptive speech synthesis method that f...
research
∙
06/08/2023
Improving Visual Prompt Tuning for Self-supervised Vision Transformers
Visual Prompt Tuning (VPT) is an effective tuning method for adapting pr...
research
∙
06/02/2023
Probabilistic Concept Bottleneck Models
Interpretable models are designed to make decisions in a human-interpret...
research
∙
05/25/2023
On the Impact of Knowledge Distillation for Model Interpretability
Several recent studies have elucidated why knowledge distillation (KD) i...
research
∙
03/14/2023
Edit-A-Video: Single Video Editing with Object-Aware Consistency
Despite the fact that text-to-video (TTV) model has recently achieved re...
research
∙
03/14/2023
Sample-efficient Adversarial Imitation Learning
Imitation learning, in which learning is performed by demonstration, has...
research
∙
02/17/2023
New Insights for the Stability-Plasticity Dilemma in Online Continual Learning
The aim of continual learning is to learn new tasks continuously (i.e., ...
research
∙
10/25/2022
FedClassAvg: Local Representation Learning for Personalized Federated Learning on Heterogeneous Neural Networks
Personalized federated learning is aimed at allowing numerous clients to...
research
∙
06/15/2022
E2V-SDE: From Asynchronous Events to Fast and Continuous Video Reconstruction via Neural Stochastic Differential Equations
Event cameras respond to brightness changes in the scene asynchronously ...
research
∙
06/14/2022
Confidence Score for Source-Free Unsupervised Domain Adaptation
Source-free unsupervised domain adaptation (SFUDA) aims to obtain high p...
research
∙
06/10/2022
Out of Sight, Out of Mind: A Source-View-Wise Feature Aggregation for Multi-View Image-Based Rendering
To estimate the volume density and color of a 3D point in the multi-view...
research
∙
06/09/2022
BigVGAN: A Universal Neural Vocoder with Large-Scale Training
Despite recent progress in generative adversarial network(GAN)-based voc...
research
∙
05/30/2022
Guided-TTS 2: A Diffusion Model for High-quality Adaptive Text-to-Speech with Untranscribed Data
We propose Guided-TTS 2, a diffusion-based generative model for high-qua...
research
∙
04/11/2022
Anti-Adversarially Manipulated Attributions for Weakly Supervised Semantic Segmentation and Object Localization
Obtaining accurate pixel-level localization from class labels is a cruci...
research
∙
04/01/2022
Bridging the Gap between Classification and Localization for Weakly Supervised Object Localization
Weakly supervised object localization aims to find a target object regio...
research
∙
03/28/2022
Demystifying the Neural Tangent Kernel from a Practical Perspective: Can it be trusted for Neural Architecture Search without training?
In Neural Architecture Search (NAS), reducing the cost of architecture e...
research
∙
03/08/2022
Weakly Supervised Semantic Segmentation using Out-of-Distribution Data
Weakly supervised semantic segmentation (WSSS) methods are often built o...
research
∙
02/07/2022
Dataset Condensation with Contrastive Signals
Recent studies have demonstrated that gradient matching-based dataset sy...
research
∙
01/30/2022
AutoSNN: Towards Energy-Efficient Spiking Neural Networks
Spiking neural networks (SNNs) that mimic information transmission in th...
research
∙
12/02/2021
Robust End-to-End Focal Liver Lesion Detection using Unregistered Multiphase Computed Tomography Images
The computer-aided diagnosis of focal liver lesions (FLLs) can help impr...
research
∙
11/24/2021
Supervised Neural Discrete Universal Denoiser for Adaptive Denoising
We improve the recently developed Neural DUDE, a neural network-based ad...
research
∙
11/23/2021
Guided-TTS:Text-to-Speech with Untranscribed Speech
Most neural text-to-speech (TTS) models require <speech, transcript> pai...
research
∙
10/23/2021
Scalable Smartphone Cluster for Deep Learning
Various deep learning applications on smartphones have been rapidly risi...
research
∙
10/13/2021
Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation
Weakly supervised semantic segmentation produces pixel-level localizatio...
research
∙
10/02/2021
FICGAN: Facial Identity Controllable GAN for De-identification
In this work, we present Facial Identity Controllable GAN (FICGAN) for n...
research
∙
09/14/2021
AligNART: Non-autoregressive Neural Machine Translation by Jointly Learning to Estimate Alignment and Translate
Non-autoregressive neural machine translation (NART) models suffer from ...
research
∙
09/11/2021
Towards a Rigorous Evaluation of Time-series Anomaly Detection
In recent years, proposed studies on time-series anomaly detection (TAD)...
research
∙
09/07/2021
Rare Words Degenerate All Words
Despite advances in neural network language model, the representation de...
research
∙
08/06/2021
ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models
Denoising diffusion probabilistic models (DDPM) have shown remarkable pe...
research
∙
08/03/2021
AdvRush: Searching for Adversarially Robust Neural Architectures
Deep neural networks continue to awe the world with their remarkable per...
research
∙
08/03/2021
Toward Spatially Unbiased Generative Models
Recent image generation models show remarkable generation performance. H...
research
∙
07/23/2021
TargetNet: Functional microRNA Target Prediction with Deep Neural Networks
MicroRNAs (miRNAs) play pivotal roles in gene expression regulation by b...
research
∙
06/29/2021
Geometry-aware Transformer for molecular property prediction
Recently, graph neural networks (GNNs) have achieved remarkable performa...
research
∙
06/14/2021
Flexible dual-branched message passing neural network for quantum mechanical property prediction with molecular conformation
A molecule is a complex of heterogeneous components, and the spatial arr...
research
∙
06/14/2021
Energy-efficient Knowledge Distillation for Spiking Neural Networks
Spiking neural networks (SNNs) have been gaining interest as energy-effi...
research
∙
06/11/2021
PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Driven Adaptive Prior
Denoising diffusion probabilistic models have been recently proposed to ...
research
∙
06/09/2021
Stein Latent Optimization for GANs
Generative adversarial networks (GANs) with clustered latent spaces can ...
research
∙
06/09/2021
Accelerating Neural Architecture Search via Proxy Data
Despite the increasing interest in neural architecture search (NAS), the...
research
∙
06/04/2021
Training Energy-Efficient Deep Spiking Neural Networks with Time-to-First-Spike Coding
The tremendous energy consumption of deep neural networks (DNNs) has bec...
research
∙
04/22/2021
Noise-Robust Deep Spiking Neural Networks with Temporal Information
Spiking neural networks (SNNs) have emerged as energy-efficient neural n...
research
∙
03/19/2021
XProtoNet: Diagnosis in Chest Radiography with Global and Local Explanations
Automated diagnosis using deep neural networks in chest radiography can ...
research
∙
03/16/2021
BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance Segmentation
Weakly supervised segmentation methods using bounding box annotations fo...
research
∙
03/16/2021
Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation
Weakly supervised semantic segmentation produces a pixel-level localizat...
research
∙
01/17/2021
Removing Undesirable Feature Contributions Using Out-of-Distribution Data
Several data augmentation methods deploy unlabeled-in-distribution (UID)...
research
∙
10/27/2020
Interpretation of NLP models through input marginalization
To demystify the "black box" property of deep neural networks for natura...
research
∙
10/22/2020
Momentum Contrast Speaker Representation Learning
Unsupervised representation learning has shown remarkable achievement by...
research
∙
09/23/2020