Search Results for author:
Found 4 papers, 3 papers with code
Synergistic Integration of Coordinate Network and Tensorial Feature for Improving Neural Radiance Fields from Sparse Inputs
However, it has limitations in capturing low-frequency details and tends to overuse parameters for low-frequency features due to its bias toward fine details, despite its multi-resolution concept.
Naming Practices of Pre-Trained Models in Hugging Face
PTM authors should choose appropriate names for their PTMs, which would facilitate model discovery and reuse.
The StarCraft Multi-Agent Challenges+ : Learning of Multi-Stage Tasks and Environmental Factors without Precise Reward Functions
This challenge, on the other hand, is interested in the exploration capability of MARL algorithms to efficiently learn implicit multi-stage tasks and environmental factors as well as micro-control.
Ranked #1 on
SMAC+
on Off_Superhard_parallel
Neural Processes with Stochastic Attention: Paying more attention to the context dataset
Neural processes (NPs) aim to stochastically complete unseen data points based on a given context dataset.
Ranked #1 on
Multi-agent Reinforcement Learning
on SMAC-Exp
