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09/21/2023
Enabling Quartile-based Estimated-Mean Gradient Aggregation As Baseline for Federated Image Classifications
Federated Learning (FL) has revolutionized how we train deep neural netw...
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09/21/2023
Soft Merging: A Flexible and Robust Soft Model Merging Approach for Enhanced Neural Network Performance
Stochastic Gradient Descent (SGD), a widely used optimization algorithm ...
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09/08/2023
Data-Flow-Based Normalization Generation Algorithm of R1CS for Zero-Knowledge Proof
The communities of blockchains and distributed ledgers have been stirred...
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09/07/2023
HOPPER: Interpretative Fuzzing for Libraries
Despite the fact that the state-of-the-art fuzzers can generate inputs e...
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09/04/2023
Code Representation Pre-training with Complements from Program Executions
Large language models (LLMs) for natural language processing have been g...
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09/01/2023
DARC: Distribution-Aware Re-Coloring Model for Generalizable Nucleus Segmentation
Nucleus segmentation is usually the first step in pathological image ana...
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08/31/2023
Using Large Language Models to Automate Category and Trend Analysis of Scientific Articles: An Application in Ophthalmology
Purpose: In this paper, we present an automated method for article class...
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08/25/2023
Unsupervised Domain Adaptation for Anatomical Landmark Detection
Recently, anatomical landmark detection has achieved great progresses on...
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08/24/2023
PromptMRG: Diagnosis-Driven Prompts for Medical Report Generation
Automatic medical report generation (MRG) is of great research value as ...
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08/23/2023
Diagnosing Infeasible Optimization Problems Using Large Language Models
Decision-making problems can be represented as mathematical optimization...
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08/20/2023
Karma: Adaptive Video Streaming via Causal Sequence Modeling
Optimal adaptive bitrate (ABR) decision depends on a comprehensive chara...
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08/19/2023
Interpretation on Multi-modal Visual Fusion
In this paper, we present an analytical framework and a novel metric to ...
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08/19/2023
Bamboo: Boosting Training Efficiency for Real-Time Video Streaming via Online Grouped Federated Transfer Learning
Most of the learning-based algorithms for bitrate adaptation are limited...
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08/15/2023
Better Zero-Shot Reasoning with Role-Play Prompting
Modern large language models (LLMs), such as ChatGPT, exhibit a remarkab...
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08/13/2023
When Monte-Carlo Dropout Meets Multi-Exit: Optimizing Bayesian Neural Networks on FPGA
Bayesian Neural Networks (BayesNNs) have demonstrated their capability o...
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08/13/2023
Target before Shooting: Accurate Anomaly Detection and Localization under One Millisecond via Cascade Patch Retrieval
In this work, by re-examining the "matching" nature of Anomaly Detection...
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08/11/2023
DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion Models
Current deep networks are very data-hungry and benefit from training on ...
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08/10/2023
FrozenRecon: Pose-free 3D Scene Reconstruction with Frozen Depth Models
3D scene reconstruction is a long-standing vision task. Existing approac...
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08/07/2023
Mamba: Bringing Multi-Dimensional ABR to WebRTC
Contemporary real-time video communication systems, such as WebRTC, use ...
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07/27/2023
Robust graphs for graph-based methods
Graph-based two-sample tests and graph-based change-point detection that...
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07/22/2023
Collaborative Graph Neural Networks for Attributed Network Embedding
Graph neural networks (GNNs) have shown prominent performance on attribu...
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07/21/2023
Improving Transferability of Adversarial Examples via Bayesian Attacks
This paper presents a substantial extension of our work published at ICL...
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07/20/2023
Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image
Reconstructing accurate 3D scenes from images is a long-standing vision ...
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07/17/2023
Dense Affinity Matching for Few-Shot Segmentation
Few-Shot Segmentation (FSS) aims to segment the novel class images with ...
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07/10/2023
Towards Generalizable Diabetic Retinopathy Grading in Unseen Domains
Diabetic Retinopathy (DR) is a common complication of diabetes and a lea...
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07/07/2023
Anableps: Adapting Bitrate for Real-Time Communication Using VBR-encoded Video
Content providers increasingly replace traditional constant bitrate with...
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07/06/2023
A Survey on Evaluation of Large Language Models
Large language models (LLMs) are gaining increasing popularity in both a...
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06/29/2023
Low-Light Enhancement in the Frequency Domain
Decreased visibility, intensive noise, and biased color are the common p...
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06/28/2023
RSPrompter: Learning to Prompt for Remote Sensing Instance Segmentation based on Visual Foundation Model
Leveraging vast training data (SA-1B), the foundation Segment Anything M...
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06/27/2023
A new classification framework for high-dimensional data
Classification is a classic problem but encounters lots of challenges wh...
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06/25/2023
New Euclidean and Hermitian Self-Dual Cyclic Codes with Square-Root-Like Minimum Distances
Binary self-dual codes with large minimum distances, such as the extende...
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06/23/2023
Deep Omni-supervised Learning for Rib Fracture Detection from Chest Radiology Images
Deep learning (DL)-based rib fracture detection has shown promise of pla...
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06/20/2023
New Binary Self-Dual Cyclic Codes with Square-Root-Like Minimum Distances
The construction of self-dual codes over small fields such that their mi...
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06/19/2023
Distributed Localization and Tracking Control for Nonholonomic Agents with Time-varying Bearing Formation
This paper studies the bearing-based time-varying formation control prob...
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06/16/2023
Uncertainty Quantification via Spatial-Temporal Tweedie Model for Zero-inflated and Long-tail Travel Demand Prediction
crucial for transportation management. However, traditional spatial-temp...
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06/15/2023
Advancing Volumetric Medical Image Segmentation via Global-Local Masked Autoencoder
Masked autoencoder (MAE) has emerged as a promising self-supervised pret...
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06/14/2023
Multimodal Optimal Transport-based Co-Attention Transformer with Global Structure Consistency for Survival Prediction
Survival prediction is a complicated ordinal regression task that aims t...
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06/08/2023
PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization
Instruction tuning large language models (LLMs) remains a challenging ta...
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06/07/2023
PromptBench: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts
The increasing reliance on Large Language Models (LLMs) across academia ...
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06/06/2023
Efficient Anomaly Detection with Budget Annotation Using Semi-Supervised Residual Transformer
Anomaly Detection is challenging as usually only the normal samples are ...
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05/31/2023
Lattice-Aided Extraction of Spread-Spectrum Hidden Data
This paper discusses the problem of extracting spread spectrum hidden da...
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05/30/2023
Machine learning with tree tensor networks, CP rank constraints, and tensor dropout
Tensor networks approximate order-N tensors with a reduced number of deg...
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05/30/2023
Scale-aware Super-resolution Network with Dual Affinity Learning for Lesion Segmentation from Medical Images
Convolutional Neural Networks (CNNs) have shown remarkable progress in m...
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05/29/2023
Learning Conditional Attributes for Compositional Zero-Shot Learning
Compositional Zero-Shot Learning (CZSL) aims to train models to recogniz...
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05/24/2023
Remote Sensing Image Change Detection Towards Continuous Bitemporal Resolution Differences
Most contemporary supervised Remote Sensing (RS) image Change Detection ...
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05/23/2023
Understanding Programs by Exploiting (Fuzzing) Test Cases
Semantic understanding of programs has attracted great attention in the ...
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05/22/2023
Zero-shot Multi-level Feature Transmission Policy Powered by Semantic Knowledge Base
Remote zero-shot object recognition, i.e., offloading zero-shot object r...
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05/21/2023
Multi-factor Sequential Re-ranking with Perception-Aware Diversification
Feed recommendation systems, which recommend a sequence of items for use...
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05/21/2023
Multi-channel Integrated Recommendation with Exposure Constraints
Integrated recommendation, which aims at jointly recommending heterogene...
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05/16/2023
