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Found 7 papers, 2 papers with code
A system for the 2019 Sentiment, Emotion and Cognitive State Task of DARPAs LORELEI project
In this work, we describe our submission for the 2019 Sentiment, Emotion and Cognitive state (SEC) pilot task of the LORELEI project.
Screenplay Quality Assessment: Can We Predict Who Gets Nominated?
Toward that goal, in this work, we present a method to evaluate the quality of a screenplay based on linguistic cues.
Learning Representations Robust to Group Shifts and Adversarial Examples
Despite the high performance achieved by deep neural networks on various tasks, extensive studies have demonstrated that small tweaks in the input could fail the model predictions.
On Human Visual Contrast Sensitivity and Machine Vision Robustness: A Comparative Study
It is well established in neuroscience that color vision plays an essential part in the human visual perception system.
Better May Not Be Fairer: A Study on Subgroup Discrepancy in Image Classification
In this paper, we provide 20, 000 non-trivial human annotations on popular datasets as a first step to bridge gap to studying how natural semantic spurious features affect image classification, as prior works often study datasets mixing low-level features due to limitations in accessing realistic datasets.
VideoPoet: A Large Language Model for Zero-Shot Video Generation
We present VideoPoet, a language model capable of synthesizing high-quality video, with matching audio, from a large variety of conditioning signals.
Ranked #3 on
Text-to-Video Generation
on MSR-VTT
DDI-CoCo: A Dataset For Understanding The Effect Of Color Contrast In Machine-Assisted Skin Disease Detection
We take another angle to investigate color contrast's impact, beyond skin tones, on malignancy detection in skin disease datasets: We hypothesize that in addition to skin tones, the color difference between the lesion area and skin also plays a role in malignancy detection performance of dermatology AI models.
