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08/13/2023
CDR: Conservative Doubly Robust Learning for Debiased Recommendation
In recommendation systems (RS), user behavior data is observational rath...
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07/10/2023
Customizing Synthetic Data for Data-Free Student Learning
Data-free knowledge distillation (DFKD) aims to obtain a lightweight stu...
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06/17/2023
OpenGSL: A Comprehensive Benchmark for Graph Structure Learning
Graph Neural Networks (GNNs) have emerged as the de facto standard for r...
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06/11/2023
Adaptive Multi-Teacher Knowledge Distillation with Meta-Learning
Multi-Teacher knowledge distillation provides students with additional s...
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05/31/2023
A Geometric Perspective on Diffusion Models
Recent years have witnessed significant progress in developing efficient...
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05/19/2023
Text2NeRF: Text-Driven 3D Scene Generation with Neural Radiance Fields
Text-driven 3D scene generation is widely applicable to video gaming, fi...
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03/30/2023
AvatarCraft: Transforming Text into Neural Human Avatars with Parameterized Shape and Pose Control
Neural implicit fields are powerful for representing 3D scenes and gener...
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12/28/2022
Robust Sequence Networked Submodular Maximization
In this paper, we study the Robust optimization for sequence Networked s...
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12/15/2022
NeRF-Art: Text-Driven Neural Radiance Fields Stylization
As a powerful representation of 3D scenes, the neural radiance field (Ne...
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11/22/2022
Accelerating Diffusion Sampling with Classifier-based Feature Distillation
Although diffusion model has shown great potential for generating higher...
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10/25/2022
Online Cross-Layer Knowledge Distillation on Graph Neural Networks with Deep Supervision
Graph neural networks (GNNs) have become one of the most popular researc...
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08/11/2022
FDNeRF: Few-shot Dynamic Neural Radiance Fields for Face Reconstruction and Expression Editing
We propose a Few-shot Dynamic Neural Radiance Field (FDNeRF), the first ...
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06/07/2022
Improving Knowledge Graph Embedding via Iterative Self-Semantic Knowledge Distillation
Knowledge graph embedding (KGE) has been intensively investigated for li...
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05/31/2022
A sharp α-robust L1 scheme on graded meshes for two-dimensional time tempered fractional Fokker-Planck equation
In this paper, we are concerned with the numerical solution for the two-...
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05/23/2022
Numerical method for the Fokker-Planck equation of Brownian motion subordinated by inverse tempered stable subordinator with drift
In this work, based on the complete Bernstein function, we propose a gen...
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05/05/2022
Alignahead: Online Cross-Layer Knowledge Extraction on Graph Neural Networks
Existing knowledge distillation methods on graph neural networks (GNNs) ...
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03/26/2022
Knowledge Distillation with the Reused Teacher Classifier
Knowledge distillation aims to compress a powerful yet cumbersome teache...
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02/16/2022
Deeply-Supervised Knowledge Distillation
Knowledge distillation aims to enhance the performance of a lightweight ...
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01/21/2022
Pseudo-Labeled Auto-Curriculum Learning for Semi-Supervised Keypoint Localization
Localizing keypoints of an object is a basic visual problem. However, su...
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12/30/2021
Confidence-Aware Multi-Teacher Knowledge Distillation
Knowledge distillation is initially introduced to utilize additional sup...
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12/28/2021
Online Adversarial Distillation for Graph Neural Networks
Knowledge distillation has recently become a popular technique to improv...
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12/09/2021
CLIP-NeRF: Text-and-Image Driven Manipulation of Neural Radiance Fields
We present CLIP-NeRF, a multi-modal 3D object manipulation method for ne...
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09/14/2021
Exploring the Connection between Knowledge Distillation and Logits Matching
Knowledge distillation is a generalized logits matching technique for mo...
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08/12/2021
Distilling Holistic Knowledge with Graph Neural Networks
Knowledge Distillation (KD) aims at transferring knowledge from a larger...
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08/04/2021
Deep Portrait Lighting Enhancement with 3D Guidance
Despite recent breakthroughs in deep learning methods for image lighting...
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07/23/2021
Human Pose Regression with Residual Log-likelihood Estimation
Heatmap-based methods dominate in the field of human pose estimation by ...
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04/22/2021
Cross-Domain and Disentangled Face Manipulation with 3D Guidance
Face image manipulation via three-dimensional guidance has been widely a...
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04/22/2021
Attribute-Modulated Generative Meta Learning for Zero-Shot Classification
Zero-shot learning (ZSL) aims to transfer knowledge from seen classes to...
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11/16/2020
CoSam: An Efficient Collaborative Adaptive Sampler for Recommendation
Sampling strategies have been widely applied in many recommendation syst...
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11/16/2020
SamWalker++: recommendation with informative sampling strategy
Recommendation from implicit feedback is a highly challenging task due t...
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09/11/2020
TRec: Sequential Recommender Based On Latent Item Trend Information
Recommendation system plays an important role in online web applications...
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08/01/2020
HMOR: Hierarchical Multi-Person Ordinal Relations for Monocular Multi-Person 3D Pose Estimation
Remarkable progress has been made in 3D human pose estimation from a mon...
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07/23/2020
Whole-Body Human Pose Estimation in the Wild
This paper investigates the task of 2D human whole-body pose estimation,...
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07/14/2020
Spectrum-Guided Adversarial Disparity Learning
It has been a significant challenge to portray intraclass disparity prec...
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07/12/2020
Pose-aware Adversarial Domain Adaptation for Personalized Facial Expression Recognition
Current facial expression recognition methods fail to simultaneously cop...
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07/06/2020
Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting
Modeling complex spatial and temporal correlations in the correlated tim...
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03/04/2020
Fast Adaptively Weighted Matrix Factorization for Recommendation with Implicit Feedback
Recommendation from implicit feedback is a highly challenging task due t...
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12/01/2019
Online Knowledge Distillation with Diverse Peers
Distillation is an effective knowledge-transfer technique that uses pred...
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11/14/2019
Hierarchical Graph Pooling with Structure Learning
Graph Neural Networks (GNNs), which generalize deep neural networks to g...
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01/31/2019
HAHE: Hierarchical Attentive Heterogeneous Information Network Embedding
Given the intractability of large scale HIN, network embedding which lea...
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12/02/2018
CrowdPose: Efficient Crowded Scenes Pose Estimation and A New Benchmark
Multi-person pose estimation is fundamental to many computer vision task...
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04/16/2018
Multi-modality Sensor Data Classification with Selective Attention
Multimodal wearable sensor data classification plays an important role i...
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08/26/2017
Sales Forecast in E-commerce using Convolutional Neural Network
Sales forecast is an essential task in E-commerce and has a crucial impa...
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08/26/2017
Navigation Objects Extraction for Better Content Structure Understanding
Existing works for extracting navigation objects from webpages focus on ...
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08/26/2017
Deep Style Match for Complementary Recommendation
Humans develop a common sense of style compatibility between items based...
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08/26/2017
