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07/17/2023
Manifold-Guided Sampling in Diffusion Models for Unbiased Image Generation
Diffusion models are a powerful class of generative models that can prod...
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06/01/2023
Uncertainty-Aware Unlikelihood Learning Improves Generative Aspect Sentiment Quad Prediction
Recently, aspect sentiment quad prediction has received widespread atten...
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05/31/2023
A Unified GAN Framework Regarding Manifold Alignment for Remote Sensing Images Generation
Generative Adversarial Networks (GANs) and their variants have achieved ...
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05/08/2023
NerfAcc: Efficient Sampling Accelerates NeRFs
Optimizing and rendering Neural Radiance Fields is computationally expen...
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01/20/2023
Introducing Expertise Logic into Graph Representation Learning from A Causal Perspective
Benefiting from the injection of human prior knowledge, graphs, as deriv...
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10/24/2022
Monocular Dynamic View Synthesis: A Reality Check
We study the recent progress on dynamic view synthesis (DVS) from monocu...
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10/19/2022
Improving Aspect Sentiment Quad Prediction via Template-Order Data Augmentation
Recently, aspect sentiment quad prediction (ASQP) has become a popular t...
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09/14/2022
Classical Sequence Match is a Competitive Few-Shot One-Class Learner
Nowadays, transformer-based models gradually become the default choice f...
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08/18/2022
Robust Causal Graph Representation Learning against Confounding Effects
The prevailing graph neural network models have achieved significant pro...
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01/11/2022
Bootstrapping Informative Graph Augmentation via A Meta Learning Approach
Recent works explore learning graph representations in a self-supervised...
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09/06/2021
Efficient Mind-Map Generation via Sequence-to-Graph and Reinforced Graph Refinement
A mind-map is a diagram that represents the central concept and key idea...
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09/06/2021
Information Theory-Guided Heuristic Progressive Multi-View Coding
Multi-view representation learning captures comprehensive information fr...
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09/05/2021
Learning with Holographic Reduced Representations
Holographic Reduced Representations (HRR) are a method for performing sy...
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05/29/2021
Multi-Label Few-Shot Learning for Aspect Category Detection
Aspect category detection (ACD) in sentiment analysis aims to identify t...
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02/01/2021
Hierarchical Ranking for Answer Selection
Answer selection is a task to choose the positive answers from a pool of...
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07/07/2020
Long-term Human Motion Prediction with Scene Context
Human movement is goal-directed and influenced by the spatial layout of ...
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10/10/2019
Using Neural Networks for Programming by Demonstration
Agent-based modeling is a paradigm of modeling dynamic systems of intera...
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10/10/2019
Universal Adversarial Perturbation for Text Classification
Given a state-of-the-art deep neural network text classifier, we show th...
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10/07/2019
Deformable Kernels: Adapting Effective Receptive Fields for Object Deformation
Convolutional networks are not aware of an object's geometric variations...
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12/02/2018
Disentangling Propagation and Generation for Video Prediction
Learning to predict future video frames is a challenging task. Recent ap...
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10/27/2018
Low-shot Learning via Covariance-Preserving Adversarial Augmentation Networks
Deep neural networks suffer from over-fitting and catastrophic forgettin...
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07/22/2018