no code implementations • 7 Jun 2023 • Ting-Wei Wu, Fatemeh Sheikholeslami, Mohammad Kachuee, Jaeyoung Do, Sungjin Lee
Large-scale conversational systems typically rely on a skill-routing component to route a user request to an appropriate skill and interpretation to serve the request.
no code implementations • 17 May 2023 • Sarthak Ahuja, Mohammad Kachuee, Fateme Sheikholeslami, Weiqing Liu, Jaeyoung Do
Off-Policy reinforcement learning has been a driving force for the state-of-the-art conversational AIs leading to more natural humanagent interactions and improving the user satisfaction for goal-oriented agents.
no code implementations • CVPR 2023 • Siwon Kim, Jinoh Oh, Sungjin Lee, Seunghak Yu, Jaeyoung Do, Tara Taghavi
In this paper, we propose counterfactual explanation with text-driven concepts (CounTEX), where the concepts are defined only from text by leveraging a pre-trained multi-modal joint embedding space without additional concept-annotated datasets.
no code implementations • ICCV 2023 • Jungbeom Lee, Sungjin Lee, Jinseok Nam, Seunghak Yu, Jaeyoung Do, Tara Taghavi
Referring image segmentation (RIS) aims to localize the object in an image referred by a natural language expression.
no code implementations • 18 Aug 2022 • Minseok Kim, Jinoh Oh, Jaeyoung Do, Sungjin Lee
Graph neural networks (GNNs) have achieved remarkable success in recommender systems by representing users and items based on their historical interactions.
no code implementations • 12 Jul 2022 • Ji-Hoon Kim, Yeo-Reum Park, Jaeyoung Do, Soo-Young Ji, Joo-Young Kim
In this paper, we propose a computational storage platform that can accelerate a large-scale graph-based nearest neighbor search algorithm based on SmartSSD CSD.
no code implementations • 21 May 2019 • Jialin Ding, Umar Farooq Minhas, JIA YU, Chi Wang, Jaeyoung Do, Yi-Nan Li, Hantian Zhang, Badrish Chandramouli, Johannes Gehrke, Donald Kossmann, David Lomet, Tim Kraska
The original work by Kraska et al. shows that a learned index beats a B+Tree by a factor of up to three in search time and by an order of magnitude in memory footprint.