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Found 14 papers, 3 papers with code
Sentence-aware Adversarial Meta-Learning for Few-Shot Text Classification
Meta-learning has emerged as an effective approach for few-shot text classification.
Improving Scene Graph Generation with Relation Words' Debiasing in Vision-Language Models
After that, we ensemble VLMs with SGG models to enhance representation.
Effective and Efficient Federated Tree Learning on Hybrid Data
To address this, we propose HybridTree, a novel federated learning approach that enables federated tree learning on hybrid data.
Model Inversion Attacks on Homogeneous and Heterogeneous Graph Neural Networks
Inspired by this, we propose a novel model inversion attack method on HomoGNNs and HeteGNNs, namely HomoGMI and HeteGMI.
Learning To Optimize Quantum Neural Network Without Gradients
This extension from classical to quantum domain has been made possible due to the development of hybrid quantum-classical algorithms that allow a parameterized quantum circuit to be optimized using gradient based algorithms that run on a classical computer.
Feasibility and stability in large Lotka Volterra systems with interaction structure
Complex system stability can be studied via linear stability analysis using Random Matrix Theory (RMT) or via feasibility (requiring positive equilibrium abundances).
Towards Practical Explainability with Cluster Descriptors
The goal is to find a representative set of tags for each cluster, referred to as the cluster descriptors, with the constraint that these descriptors we find are pairwise disjoint, and the total size of all the descriptors is minimized.
UniFed: All-In-One Federated Learning Platform to Unify Open-Source Frameworks
The platform streamlines the end-to-end workflow for distributed experimentation and deployment, encompassing 11 popular open-source FL frameworks.
A System for Automated Open-Source Threat Intelligence Gathering and Management
SecurityKG collects OSCTI reports from various sources, uses a combination of AI and NLP techniques to extract high-fidelity knowledge about threat behaviors, and constructs a security knowledge graph.
A System for Efficiently Hunting for Cyber Threats in Computer Systems Using Threat Intelligence
Log-based cyber threat hunting has emerged as an important solution to counter sophisticated cyber attacks.
Enabling Efficient Cyber Threat Hunting With Cyber Threat Intelligence
Log-based cyber threat hunting has emerged as an important solution to counter sophisticated attacks.
Structured Hierarchical Dialogue Policy with Graph Neural Networks
A novel ComNet is proposed to model the structure of a hierarchical agent.
Distributed Structured Actor-Critic Reinforcement Learning for Universal Dialogue Management
The task-oriented spoken dialogue system (SDS) aims to assist a human user in accomplishing a specific task (e. g., hotel booking).
Pretrained Transformers Improve Out-of-Distribution Robustness
Although pretrained Transformers such as BERT achieve high accuracy on in-distribution examples, do they generalize to new distributions?
