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Found 7 papers, 0 papers with code
Beyond Surface Similarity: Detecting Subtle Semantic Shifts in Financial Narratives
In this paper, we introduce the Financial-STS task, a financial domain-specific NLP task designed to measure the nuanced semantic similarity between pairs of financial narratives.
MS23D: : A 3D Object Detection Method Using Multi-Scale Semantic Feature Points to Construct 3D Feature Layer
For feature points from shallow-level, we retain them on the object's surface to describe the geometric features of the object.
RetouchingFFHQ: A Large-scale Dataset for Fine-grained Face Retouching Detection
However, the lack of large-scale and fine-grained face retouching datasets has been a major obstacle to progress in this field.
No driver, No Regulation? --Online Legal Driving Behavior Monitoring for Self-driving Vehicles
To address these challenges, this paper aims to digitize traffic law comprehensively and provide an application for online monitoring of legal driving behavior for autonomous vehicles.
A 65nm 8b-Activation 8b-Weight SRAM-Based Charge-Domain Computing-in-Memory Macro Using A Fully-Parallel Analog Adder Network and A Single-ADC Interface
Performing data-intensive tasks in the von Neumann architecture is challenging to achieve both high performance and power efficiency due to the memory wall bottleneck.
Are Your Reviewers Being Treated Equally? Discovering Subgroup Structures to Improve Fairness in Spam Detection
We first identify subgroup structures in the review graph that lead to discrepant accuracy in the groups.
Interpretable and Effective Reinforcement Learning for Attacking against Graph-based Rumor Detection
To discover subtle vulnerabilities, we design a powerful attacking algorithm to camouflage rumors in social networks based on reinforcement learning that can interact with and attack any black-box detectors.
