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Found 10 papers, 2 papers with code
FastHDRNet: A new efficient method for SDR-to-HDR Translation
Modern displays nowadays possess the capability to render video content with a high dynamic range (HDR) and an extensive color gamut (WCG). However, the majority of available resources are still in standard dynamic range(SDR).
A cry for help: Early detection of brain injury in newborns
Since the 1960s, neonatal clinicians have known that newborns suffering from certain neurological conditions exhibit altered crying patterns such as the high-pitched cry in birth asphyxia.
Tight Memory-Regret Lower Bounds for Streaming Bandits
We establish the tight worst-case regret lower bound of $\Omega \left( (TB)^{\alpha} K^{1-\alpha}\right), \alpha = 2^{B} / (2^{B+1}-1)$ for any algorithm with a time horizon $T$, number of arms $K$, and number of passes $B$.
Self-supervised learning for infant cry analysis
In this paper, we explore self-supervised learning (SSL) for analyzing a first-of-its-kind database of cry recordings containing clinical indications of more than a thousand newborns.
oIRL: Robust Adversarial Inverse Reinforcement Learning with Temporally Extended Actions
Explicit engineering of reward functions for given environments has been a major hindrance to reinforcement learning methods.
A General Framework on Enhancing Portfolio Management with Reinforcement Learning
Portfolio management is the art and science in fiance that concerns continuous reallocation of funds and assets across financial instruments to meet the desired returns to risk profile.
SCG: Spotting Coordinated Groups in Social Media
Recent events have led to a burgeoning awareness on the misuse of social media sites to affect political events, sway public opinion, and confuse the voters.
Avoidance Learning Using Observational Reinforcement Learning
We define avoidance learning as the process of optimizing the agent's reward while avoiding dangerous behaviors given by a demonstrator.
Anomaly Detection with Joint Representation Learning of Content and Connection
Social media sites are becoming a key factor in politics.
Equivariant Entity-Relationship Networks
In this paper, we propose the Equivariant Entity-Relationship Network (EERN), which is a Multilayer Perceptron equivariant to the symmetry transformations of the Entity-Relationship model.
