research
∙
09/19/2023
Decoupled Training: Return of Frustratingly Easy Multi-Domain Learning
Multi-domain learning (MDL) aims to train a model with minimal average r...
share
research
∙
08/16/2023
STEM: Unleashing the Power of Embeddings for Multi-task Recommendation
Multi-task learning (MTL) has gained significant popularity in recommend...
research
∙
04/06/2023
VLPD: Context-Aware Pedestrian Detection via Vision-Language Semantic Self-Supervision
Detecting pedestrians accurately in urban scenes is significant for real...
research
∙
01/30/2023
ForkMerge: Overcoming Negative Transfer in Multi-Task Learning
The goal of multi-task learning is to utilize useful knowledge from mult...
research
∙
01/05/2023
Sum-Rate Maximization in Active RIS-Assisted Multi-Antenna WPCN
In this paper, we propose an active reconfigurable intelligent surface (...
research
∙
12/09/2022
Tencent AVS: A Holistic Ads Video Dataset for Multi-modal Scene Segmentation
Temporal video segmentation and classification have been advanced greatl...
research
∙
11/28/2022
AdaTask: A Task-aware Adaptive Learning Rate Approach to Multi-task Learning
Multi-task learning (MTL) models have demonstrated impressive results in...
research
∙
10/27/2022
AutoAttention: Automatic Field Pair Selection for Attention in User Behavior Modeling
In Click-through rate (CTR) prediction models, a user's interest is usua...
research
∙
08/21/2022
DPTNet: A Dual-Path Transformer Architecture for Scene Text Detection
The prosperity of deep learning contributes to the rapid progress in sce...
research
∙
09/06/2021
Exploiting Spatial-Temporal Semantic Consistency for Video Scene Parsing
Compared with image scene parsing, video scene parsing introduces tempor...
research
∙
06/26/2020
QCluster: Clustering Packets for FlowScheduling
Flow scheduling is crucial in data centers, as it directly influences us...
research
∙
05/10/2020
Non-Autoregressive Image Captioning with Counterfactuals-Critical Multi-Agent Learning
Most image captioning models are autoregressive, i.e. they generate each...
research
∙
08/09/2019
MakeSense: An IoT Testbed for Social Research of Indoor Activities
There has been increasing interest in deploying IoT devices to study hum...
research
∙
07/03/2019
Deep Learning Based Energy Disaggregation and On/Off Detection of Household Appliances
The availability of large-scale household energy consumption datasets bo...
research
∙
04/17/2019
DENet: A Universal Network for Counting Crowd with Varying Densities and Scales
Counting people or objects with significantly varying scales and densiti...
research
∙
04/21/2017