Zobrazeno 1 - 10
of 1 209
pro vyhledávání: '"A Sukthankar"'
This paper introduces SC-Phi2, a fine-tuned StarCraft II small language model for macromanagement tasks. Small language models, like Phi2, Gemma, and DistilBERT, are streamlined versions of large language models (LLMs) with fewer parameters that requ
Externí odkaz:
http://arxiv.org/abs/2409.18989
Publikováno v:
The International FLAIRS Conference Proceedings. Vol. 36. 2023
In humans, intrinsic motivation is an important mechanism for open-ended cognitive development; in robots, it has been shown to be valuable for exploration. An important aspect of human cognitive development is $\textit{episodic memory}$ which enable
Externí odkaz:
http://arxiv.org/abs/2405.11298
We present a novel method aimed at enhancing the sample efficiency of ensemble Q learning. Our proposed approach integrates multi-head self-attention into the ensembled Q networks while bootstrapping the state-action pairs ingested by the ensemble. T
Externí odkaz:
http://arxiv.org/abs/2405.08252
Due to the rise in video content creation targeted towards children, there is a need for robust content moderation schemes for video hosting platforms. A video that is visually benign may include audio content that is inappropriate for young children
Externí odkaz:
http://arxiv.org/abs/2405.06128
Natural language supervision has been shown to be effective for zero-shot learning in many computer vision tasks, such as object detection and activity recognition. However, generating informative prompts can be challenging for more subtle tasks, suc
Externí odkaz:
http://arxiv.org/abs/2312.03936
Autor:
Marcu, Alina, Pirvu, Mihai, Costea, Dragos, Haller, Emanuela, Slusanschi, Emil, Belbachir, Ahmed Nabil, Sukthankar, Rahul, Leordeanu, Marius
We present a method for learning multiple scene representations given a small labeled set, by exploiting the relationships between such representations in the form of a multi-task hypergraph. We also show how we can use the hypergraph to improve a po
Externí odkaz:
http://arxiv.org/abs/2308.07615
Human-centric visual understanding is an important desideratum for effective human-robot interaction. In order to navigate crowded public places, social robots must be able to interpret the activity of the surrounding humans. This paper addresses one
Externí odkaz:
http://arxiv.org/abs/2307.11934
Publikováno v:
The International FLAIRS Conference Proceedings. 36, 1 (May 2023)
Online video platforms receive hundreds of hours of uploads every minute, making manual content moderation impossible. Unfortunately, the most vulnerable consumers of malicious video content are children from ages 1-5 whose attention is easily captur
Externí odkaz:
http://arxiv.org/abs/2305.15551
Autor:
Enayet, Ayesha, Sukthankar, Gita
Conflict prediction in communication is integral to the design of virtual agents that support successful teamwork by providing timely assistance. The aim of our research is to analyze discourse to predict collaboration success. Unfortunately, resourc
Externí odkaz:
http://arxiv.org/abs/2302.04716
Software quality is an important problem for technology companies, since it substantially impacts the efficiency, usefulness, and maintainability of the final product; hence, code review is a must-do activity for software developers. During the code
Externí odkaz:
http://arxiv.org/abs/2210.04434