Search Results for author:
Found 9 papers, 5 papers with code
Exploring the Improvement of Evolutionary Computation via Large Language Models
Evolutionary computation (EC), as a powerful optimization algorithm, has been applied across various domains.
Language Evolution for Evading Social Media Regulation via LLM-based Multi-agent Simulation
Social media platforms such as Twitter, Reddit, and Sina Weibo play a crucial role in global communication but often encounter strict regulations in geopolitically sensitive regions.
Multi-role Consensus through LLMs Discussions for Vulnerability Detection
Recent advancements in large language models (LLMs) have highlighted the potential for vulnerability detection, a crucial component of software quality assurance.
Lightweight Speaker Verification Using Transformation Module with Feature Partition and Fusion
The features that are output from current block of the model are processed according to the steps above before they are fed into the next block of the model.
Few-shot Class-incremental Audio Classification Using Stochastic Classifier
It is generally assumed that number of classes is fixed in current audio classification methods, and the model can recognize pregiven classes only.
Few-shot Class-incremental Audio Classification Using Dynamically Expanded Classifier with Self-attention Modified Prototypes
Labeled support samples and unlabeled query samples are used to train the prototype adaptation network and update the classifier, since they are informative for audio classification.
Value Iteration Networks with Gated Summarization Module
We propose a novel approach, Value Iteration Networks with Gated Summarization Module (GS-VIN), which incorporates two main improvements: (1) employing an Adaptive Iteration Strategy in the Value Iteration module to reduce the number of iterations, and (2) introducing a Gated Summarization module to summarize the iterative process.
Compressed domain vibration detection and classification for distributed acoustic sensing
Distributed acoustic sensing (DAS) is a novel enabling technology that can turn existing fibre optic networks to distributed acoustic sensors.
DiffSRL: Learning Dynamical State Representation for Deformable Object Manipulation with Differentiable Simulator
We propose DiffSRL, a dynamic state representation learning pipeline utilizing differentiable simulation that can embed complex dynamics models as part of the end-to-end training.
