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Found 8 papers, 2 papers with code
Detecting East Asian Prejudice on Social Media
The outbreak of COVID-19 has transformed societies across the world as governments tackle the health, economic and social costs of the pandemic.
Rule By Example: Harnessing Logical Rules for Explainable Hate Speech Detection
In this paper, we present Rule By Example (RBE): a novel exemplar-based contrastive learning approach for learning from logical rules for the task of textual content moderation.
Contextual Bandit Applications in Customer Support Bot
We do, however, have access to partial feedback provided by the user (clicks, surveys, and other events) which can be leveraged to improve the user experience.
PivoTAL: Prior-Driven Supervision for Weakly-Supervised Temporal Action Localization
To address this, we present PivoTAL, Prior-driven Supervision for Weakly-supervised Temporal Action Localization, to approach WTAL from a localization-by-localization perspective by learning to localize the action snippets directly.
Weakly Supervised Action Localization
Weakly Supervised Temporal Action Localization
ProTeGe: Untrimmed Pretraining for Video Temporal Grounding by Video Temporal Grounding
We present ProTeGe as the first method to perform VTG-based untrimmed pretraining to bridge the gap between trimmed pretrained backbones and downstream VTG tasks.
Rethinking Multimodal Content Moderation from an Asymmetric Angle with Mixed-modality
There is a rapidly growing need for multimodal content moderation (CM) as more and more content on social media is multimodal in nature.
Chronic pain detection from resting-state raw EEG signals using improved feature selection
We present an automatic approach that works on resting-state raw EEG data for chronic pain detection.
Defending Against Indirect Prompt Injection Attacks With Spotlighting
Indirect prompt injection attacks take advantage of this vulnerability by embedding adversarial instructions into untrusted data being processed alongside user commands.
