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03/04/2023
Towards a Unified Theoretical Understanding of Non-contrastive Learning via Rank Differential Mechanism
Recently, a variety of methods under the name of non-contrastive learnin...
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08/07/2022
PDO-s3DCNNs: Partial Differential Operator Based Steerable 3D CNNs
Steerable models can provide very general and flexible equivariance by f...
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10/10/2021
On Automatic Text Extractive Summarization Based on Graph and pre-trained Language Model Attention
Representing text as graph to solve the summarization task has been disc...
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09/13/2021
ARGO: Modeling Heterogeneity in E-commerce Recommendation
Nowadays, E-commerce is increasingly integrated into our daily lives. Me...
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05/25/2021
Criterion-based Heterogeneous Collaborative Filtering for Multi-behavior Implicit Recommendation
With the increasing scale and diversification of interaction behaviors i...
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05/13/2021
Deep Unsupervised Hashing by Distilled Smooth Guidance
Hashing has been widely used in approximate nearest neighbor search for ...
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04/08/2021
PDO-eS^2CNNs: Partial Differential Operator Based Equivariant Spherical CNNs
Spherical signals exist in many applications, e.g., planetary data, LiDA...
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07/20/2020
PDO-eConvs: Partial Differential Operator Based Equivariant Convolutions
Recent research has shown that incorporating equivariance into neural ne...
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06/16/2020
Real-time Universal Style Transfer on High-resolution Images via Zero-channel Pruning
Extracting effective deep features to represent content and style inform...
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06/16/2020
DefenseVGAE: Defending against Adversarial Attacks on Graph Data via a Variational Graph Autoencoder
Graph neural networks (GNNs) achieve remarkable performance for tasks on...
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11/21/2019
Multi-Label Classification with Label Graph Superimposing
Images or videos always contain multiple objects or actions. Multi-label...
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11/07/2019
Transformation of Dense and Sparse Text Representations
Sparsity is regarded as a desirable property of representations, especia...
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07/06/2019
Fast Universal Style Transfer for Artistic and Photorealistic Rendering
Universal style transfer is an image editing task that renders an input ...
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06/06/2019
StyleNAS: An Empirical Study of Neural Architecture Search to Uncover Surprisingly Fast End-to-End Universal Style Transfer Networks
Neural Architecture Search (NAS) has been widely studied for designing d...
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05/31/2019
GSN: A Graph-Structured Network for Multi-Party Dialogues
Existing neural models for dialogue response generation assume that utte...
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04/23/2019
Non-convex Penalty for Tensor Completion and Robust PCA
In this paper, we propose a novel non-convex tensor rank surrogate funct...
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03/11/2019
Spatial-Aware Non-Local Attention for Fashion Landmark Detection
Fashion landmark detection is a challenging task even using the current ...
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03/28/2018
ELEGANT: Exchanging Latent Encodings with GAN for Transferring Multiple Face Attributes
Recent studies on face attribute transfer have achieved great success, e...
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03/01/2018
The Regularization Effects of Anisotropic Noise in Stochastic Gradient Descent
Understanding the generalization of deep learning has raised lots of con...
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11/15/2017