1
Video-Audio Domain Generalization via Confounder Disentanglement
2
On-Device Domain Generalization
3
Personalizing Intervened Network for Long-tailed Sequential User Behavior Modeling
4
On-Device Learning for Model Personalization with Large-Scale Cloud-Coordinated Domain Adaption
5
HERO: HiErarchical spatio-tempoRal reasOning with Contrastive Action Correspondence for End-to-End Video Object Grounding
6
Label-Efficient Domain Generalization via Collaborative Exploration and Generalization
7
Dilated Context Integrated Network with Cross-Modal Consensus for Temporal Emotion Localization in Videos
8
Device-cloud Collaborative Recommendation via Meta Controller
9
Reducing Energy Consumption of Pressure Sensor Calibration Using Polynomial HyperNetworks with Fourier Features
10
Intelligent Request Strategy Design in Recommender System
11
DeVRF: Fast Deformable Voxel Radiance Fields for Dynamic Scenes
12
Walle: An End-to-End, General-Purpose, and Large-Scale Production System for Device-Cloud Collaborative Machine Learning
13
BA-GNN: On Learning Bias-Aware Graph Neural Network
14
End-to-End Modeling via Information Tree for One-Shot Natural Language Spatial Video Grounding
15
BoostMIS: Boosting Medical Image Semi-supervised Learning with Adaptive Pseudo Labeling and Informative Active Annotation
16
MAGIC: Multimodal relAtional Graph adversarIal inferenCe for Diverse and Unpaired Text-based Image Captioning
17
HyperInverter: Improving StyleGAN Inversion via Hypernetwork
18
Multiple knowledge representation for big data artificial intelligence: framework, applications, and case studies
19
HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing
20
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI
21
Unified Group Fairness on Federated Learning
22
Domain-Specific Bias Filtering for Single Labeled Domain Generalization
23
Federated Multi-Task Learning under a Mixture of Distributions
24
Multi-Initialization Meta-Learning with Domain Adaptation
25
Consensus Graph Representation Learning for Better Grounded Image Captioning
26
Decoupled Dynamic Filter Networks
27
HyperDynamics: Meta-Learning Object and Agent Dynamics with Hypernetworks
28
Personalized Federated Learning using Hypernetworks
29
MicroNet: Towards Image Recognition with Extremely Low FLOPs
30
Relational Graph Learning for Grounded Video Description Generation
31
Multi-task attribute-fusion model for fine-grained image recognition
32
Learning the Pareto Front with Hypernetworks
33
Graph Convolutional Networks for Hyperspectral Image Classification
34
Multi-Task Federated Learning for Personalised Deep Neural Networks in Edge Computing
35
On Sampled Metrics for Item Recommendation
36
Health status prediction for the elderly based on machine learning.
37
Principled Weight Initialization for Hypernetworks
38
Named Entity Recognition without Labelled Data: A Weak Supervision Approach
39
Frame Augmented Alternating Attention Network for Video Question Answering
40
SOLOv2: Dynamic and Fast Instance Segmentation
41
Pre-trained models for natural language processing: A survey
42
A Survey on Deep Learning for Multimodal Data Fusion
43
Retrospective Reader for Machine Reading Comprehension
44
Dynamic Convolution: Attention Over Convolution Kernels
45
GhostNet: More Features From Cheap Operations
46
Dynamic Multi-Scale Filters for Semantic Segmentation
47
Continual learning with hypernetworks
48
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
49
Searching for MobileNetV3
50
CARAFE: Content-Aware ReAssembly of FEatures
51
Pixel-Adaptive Convolutional Neural Networks
52
CondConv: Conditionally Parameterized Convolutions for Efficient Inference
53
nuScenes: A Multimodal Dataset for Autonomous Driving
54
A New Ensemble Learning Framework for 3D Biomedical Image Segmentation
55
Graph HyperNetworks for Neural Architecture Search
56
Self-Attentive Sequential Recommendation
57
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design
58
Deep Learning towards Mobile Applications
59
Iterative Back-Translation for Neural Machine Translation
60
The Best of Both Worlds: Combining Recent Advances in Neural Machine Translation
61
MobileNetV2: Inverted Residuals and Linear Bottlenecks
62
SMASH: One-Shot Model Architecture Search through HyperNetworks
63
ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
64
Deep Interest Network for Click-Through Rate Prediction
65
Distributed Deep Neural Networks Over the Cloud, the Edge and End Devices
66
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
67
A Hybrid Deep Learning Architecture for Privacy-Preserving Mobile Analytics
69
Dynamic Filter Networks
70
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <1MB model size
71
Communication-Efficient Learning of Deep Networks from Decentralized Data
72
Adaptive Ensemble Learning With Confidence Bounds
73
Deep Residual Learning for Image Recognition
74
Going deeper with convolutions
75
Very Deep Convolutional Networks for Large-Scale Image Recognition
76
Recurrent neural networks
77
ImageNet classification with deep convolutional neural networks
78
The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression
79
Random Forest: A Classification and Regression Tool for Compound Classification and QSAR Modeling
80
Comprehensive database for facial expression analysis
81
A Model of Inductive Bias Learning
83
MCFT-CNN: Malware classification with fine-tune convolution neural networks using traditional and transfer learning in Internet of Things
84
Visualizing Data using t-SNE
85
GradientBased Learning Applied to Document Recognition
86
The handbook of brain theory and neural networks
87
Towards Multi-level Fairness and Robustness on Federated Learning
88
WWW ’23, April 30 – May 4, 2023, Austin, Texas, USA