research
∙
08/18/2023
RLIPv2: Fast Scaling of Relational Language-Image Pre-training
Relational Language-Image Pre-training (RLIP) aims to align vision repre...
share
research
∙
08/09/2023
IS2N: Intent-Driven Security Software-Defined Network with Blockchain
Software-defined network (SDN) is characterized by its programmability, ...
research
∙
05/29/2023
Towards Efficient Deep Hashing Retrieval: Condensing Your Data via Feature-Embedding Matching
The expenses involved in training state-of-the-art deep hashing retrieva...
research
∙
05/01/2023
Refined Response Distillation for Class-Incremental Player Detection
Detecting players from sports broadcast videos is essential for intellig...
research
∙
04/24/2023
SocialDial: A Benchmark for Socially-Aware Dialogue Systems
Dialogue systems have been widely applied in many scenarios and are now ...
research
∙
03/02/2023
Less is More: Mitigate Spurious Correlations for Open-Domain Dialogue Response Generation Models by Causal Discovery
In this paper, we conduct the first study on spurious correlations for o...
research
∙
12/18/2022
Let's Negotiate! A Survey of Negotiation Dialogue Systems
Negotiation is one of the crucial abilities in human communication, and ...
research
∙
11/28/2022
Progressive Learning without Forgetting
Learning from changing tasks and sequential experience without forgettin...
research
∙
09/05/2022
RLIP: Relational Language-Image Pre-training for Human-Object Interaction Detection
The task of Human-Object Interaction (HOI) detection targets fine-graine...
research
∙
08/27/2022
Linear codes associated with the Desarguesian ovoids in Q^+(7,q)
The Desarguesian ovoids in the orthogonal polar space Q^+(7,q) with q ev...
research
∙
04/05/2022
Overcoming Catastrophic Forgetting in Incremental Object Detection via Elastic Response Distillation
Traditional object detectors are ill-equipped for incremental learning. ...
research
∙
10/26/2021
Response-based Distillation for Incremental Object Detection
Traditional object detection are ill-equipped for incremental learning. ...
research
∙
08/20/2021
A Quantitative Framework for Network Resilience Evaluation using Dynamic Bayesian Network
Measuring and evaluating network resilience has become an important aspe...
research
∙
08/10/2021
Deep Reinforcement Learning for Demand Driven Services in Logistics and Transportation Systems: A Survey
Recent technology development brings the booming of numerous new Demand-...
research
∙
05/10/2021
Few-Shot Conversational Dense Retrieval
Dense retrieval (DR) has the potential to resolve the query understandin...
research
∙
11/13/2020
Bounds for the multilevel construction
One of the main problems in random network coding is to compute good low...
research
∙
08/29/2020