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Found 7 papers, 3 papers with code
FuzzCoder: Byte-level Fuzzing Test via Large Language Model
In this work, we propose to adopt fine-tuned large language models (FuzzCoder) to learn patterns in the input files from successful attacks to guide future fuzzing explorations.
TNF: Tri-branch Neural Fusion for Multimodal Medical Data Classification
This paper presents a Tri-branch Neural Fusion (TNF) approach designed for classifying multimodal medical images and tabular data.
WeaveNet for Approximating Two-sided Matching Problems
Matching, a task to optimally assign limited resources under constraints, is a fundamental technology for society.
3D Point Cloud Registration with Learning-based Matching Algorithm
Instead of only optimizing the feature extractor for a matching algorithm, we propose a learning-based matching module optimized to the jointly-trained feature extractor.
WeaveNet: A Differentiable Solver for Non-linear Assignment Problems
Assignment, a task to match a limited number of elements, is a fundamental problem in informatics.
WeaveNet for Approximating Assignment Problems
Assignment, a task to match a limited number of elements, is a fundamental problem in informatics.
Adaptive Distillation for Decentralized Learning from Heterogeneous Clients
This paper addresses the problem of decentralized learning to achieve a high-performance global model by asking a group of clients to share local models pre-trained with their own data resources.
