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09/21/2023
Memory-Augmented LLM Personalization with Short- and Long-Term Memory Coordination
Large Language Models (LLMs), such as GPT3.5, have exhibited remarkable ...
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07/19/2023
NTIRE 2023 Quality Assessment of Video Enhancement Challenge
This paper reports on the NTIRE 2023 Quality Assessment of Video Enhance...
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06/16/2023
MagicBrush: A Manually Annotated Dataset for Instruction-Guided Image Editing
Text-guided image editing is widely needed in daily life, ranging from p...
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06/08/2023
FedMLSecurity: A Benchmark for Attacks and Defenses in Federated Learning and LLMs
This paper introduces FedMLSecurity, a benchmark that simulates adversar...
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06/02/2023
A Feature Reuse Framework with Texture-adaptive Aggregation for Reference-based Super-Resolution
Reference-based super-resolution (RefSR) has gained considerable success...
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05/30/2023
Decomposed Human Motion Prior for Video Pose Estimation via Adversarial Training
Estimating human pose from video is a task that receives considerable at...
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05/24/2023
PathAsst: Redefining Pathology through Generative Foundation AI Assistant for Pathology
As advances in large language models (LLMs) and multimodal techniques co...
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05/22/2023
Adaptive Chameleon or Stubborn Sloth: Unraveling the Behavior of Large Language Models in Knowledge Clashes
By providing external information to large language models (LLMs), tool ...
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05/19/2023
Equivariant Multi-Modality Image Fusion
Multi-modality image fusion is a technique used to combine information f...
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05/18/2023
Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation Extractors
Recent work has shown that fine-tuning large language models (LLMs) on l...
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05/15/2023
Denoising Diffusion Models for Plug-and-Play Image Restoration
Plug-and-play Image Restoration (IR) has been widely recognized as a fle...
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05/10/2023
Automatic Evaluation of Attribution by Large Language Models
A recent focus of large language model (LLM) development, as exemplified...
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04/30/2023
Sensitive Data Detection with High-Throughput Machine Learning Models in Electrical Health Records
In the era of big data, there is an increasing need for healthcare provi...
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04/26/2023
Ray Conditioning: Trading Photo-consistency for Photo-realism in Multi-view Image Generation
Multi-view image generation attracts particular attention these days due...
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04/17/2023
A Scalable Test Problem Generator for Sequential Transfer Optimization
Sequential transfer optimization (STO), which aims to improve optimizati...
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04/14/2023
Exploring Causes of Demographic Variations In Face Recognition Accuracy
In recent years, media reports have called out bias and racism in face r...
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04/08/2023
Predicting multiple sclerosis disease severity with multimodal deep neural networks
Multiple Sclerosis (MS) is a chronic disease developed in human brain an...
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04/05/2023
A Transformer-Based Deep Learning Approach for Fairly Predicting Post-Liver Transplant Risk Factors
Liver transplantation is a life-saving procedure for patients with end-s...
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03/30/2023
Multi-Task Learning for Post-transplant Cause of Death Analysis: A Case Study on Liver Transplant
Organ transplant is the essential treatment method for some end-stage di...
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03/24/2023
Towards Fair Patient-Trial Matching via Patient-Criterion Level Fairness Constraint
Clinical trials are indispensable in developing new treatments, but they...
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03/18/2023
Is Prompt All You Need? No. A Comprehensive and Broader View of Instruction Learning
Task semantics can be expressed by a set of input-to-output examples or ...
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03/13/2023
DDFM: Denoising Diffusion Model for Multi-Modality Image Fusion
Multi-modality image fusion aims to combine different modalities to prod...
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03/10/2023
QVRF: A Quantization-error-aware Variable Rate Framework for Learned Image Compression
Learned image compression has exhibited promising compression performanc...
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03/08/2023
Memory-adaptive Depth-wise Heterogenous Federated Learning
Federated learning is a promising paradigm that allows multiple clients ...
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03/05/2023
Securing Biomedical Images from Unauthorized Training with Anti-Learning Perturbation
The volume of open-source biomedical data has been essential to the deve...
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02/18/2023
A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT
The Pretrained Foundation Models (PFMs) are regarded as the foundation f...
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02/18/2023
Fairly Predicting Graft Failure in Liver Transplant for Organ Assigning
Liver transplant is an essential therapy performed for severe liver dise...
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02/18/2023
Backdoor Attacks to Pre-trained Unified Foundation Models
The rise of pre-trained unified foundation models breaks down the barrie...
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02/17/2023
Building Shortcuts between Distant Nodes with Biaffine Mapping for Graph Convolutional Networks
Multiple recent studies show a paradox in graph convolutional networks (...
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01/12/2023
Event-Based Frame Interpolation with Ad-hoc Deblurring
The performance of video frame interpolation is inherently correlated wi...
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12/08/2022
GreenEyes: An Air Quality Evaluating Model based on WaveNet
Accompanying rapid industrialization, humans are suffering from serious ...
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10/30/2022
Changes from Classical Statistics to Modern Statistics and Data Science
A coordinate system is a foundation for every quantitative science, engi...
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10/19/2022
BELIEF in Dependence: Leveraging Atomic Linearity in Data Bits for Rethinking Generalized Linear Models
Two linearly uncorrelated binary variables must be also independent beca...
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09/16/2022
DBT-DMAE: An Effective Multivariate Time Series Pre-Train Model under Missing Data
Multivariate time series(MTS) is a universal data type related to many p...
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08/29/2022
LED: Lexicon-Enlightened Dense Retriever for Large-Scale Retrieval
Retrieval models based on dense representations in semantic space have b...
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08/23/2022
Query-Response Interactions by Multi-tasks in Semantic Search for Chatbot Candidate Retrieval
Semantic search for candidate retrieval is an important yet neglected pr...
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08/02/2022
Unified Normalization for Accelerating and Stabilizing Transformers
Solid results from Transformers have made them prevailing architectures ...
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07/25/2022
Reference-based Image Super-Resolution with Deformable Attention Transformer
Reference-based image super-resolution (RefSR) aims to exploit auxiliary...
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06/21/2022
Enhancing Multi-view Stereo with Contrastive Matching and Weighted Focal Loss
Learning-based multi-view stereo (MVS) methods have made impressive prog...
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06/18/2022
Fully Privacy-Preserving Federated Representation Learning via Secure Embedding Aggregation
We consider a federated representation learning framework, where with th...
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06/13/2022
ARF: Artistic Radiance Fields
We present a method for transferring the artistic features of an arbitra...
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06/05/2022
Recurrent Video Restoration Transformer with Guided Deformable Attention
Video restoration aims at restoring multiple high-quality frames from mu...
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06/01/2022
MORE: A Metric Learning Based Framework for Open-domain Relation Extraction
Open relation extraction (OpenRE) is the task of extracting relation sch...
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05/28/2022
WT-MVSNet: Window-based Transformers for Multi-view Stereo
Recently, Transformers were shown to enhance the performance of multi-vi...
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05/23/2022
UnifieR: A Unified Retriever for Large-Scale Retrieval
Large-scale retrieval is to recall relevant documents from a huge collec...
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05/18/2022
AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation
Sequential recommendation (SR) aims to model users' dynamic preferences ...
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05/18/2022
Graph Adaptive Semantic Transfer for Cross-domain Sentiment Classification
Cross-domain sentiment classification (CDSC) aims to use the transferabl...
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05/08/2022
Adversarial Learning of Hard Positives for Place Recognition
Image retrieval methods for place recognition learn global image descrip...
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04/26/2022
Discussion of Multiscale Fisher's Independence Test for Multivariate Dependence
The multiscale Fisher's independence test (MULTIFIT hereafter) proposed ...
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04/25/2022