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09/21/2023
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models
Large language models (LLMs) have pushed the limits of natural language ...
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09/12/2023
Learning Disentangled Avatars with Hybrid 3D Representations
Tremendous efforts have been made to learn animatable and photorealistic...
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06/12/2023
Controlling Text-to-Image Diffusion by Orthogonal Finetuning
Large text-to-image diffusion models have impressive capabilities in gen...
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06/05/2023
Nonparametric Iterative Machine Teaching
In this paper, we consider the problem of Iterative Machine Teaching (IM...
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03/14/2023
MeshDiffusion: Score-based Generative 3D Mesh Modeling
We consider the task of generating realistic 3D shapes, which is useful ...
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03/11/2023
Generalizing and Decoupling Neural Collapse via Hyperspherical Uniformity Gap
The neural collapse (NC) phenomenon describes an underlying geometric sy...
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11/02/2022
Web-based Elicitation of Human Perception on mixup Data
Synthetic data is proliferating on the web and powering many advances in...
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10/31/2022
Iterative Teaching by Data Hallucination
We consider the problem of iterative machine teaching, where a teacher s...
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10/11/2022
Continual Learning by Modeling Intra-Class Variation
It has been observed that neural networks perform poorly when the data o...
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07/20/2022
Structural Causal 3D Reconstruction
This paper considers the problem of unsupervised 3D object reconstructio...
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06/30/2022
Data-Efficient Learning via Minimizing Hyperspherical Energy
Deep learning on large-scale data is dominant nowadays. The unprecedente...
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11/27/2021
Towards Principled Disentanglement for Domain Generalization
A fundamental challenge for machine learning models is generalizing to o...
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11/18/2021
Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence
Artificial intelligence (AI) provides a promising substitution for strea...
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10/27/2021
Iterative Teaching by Label Synthesis
In this paper, we consider the problem of iterative machine teaching, wh...
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10/27/2021
Provable Lifelong Learning of Representations
In lifelong learning, the tasks (or classes) to be learned arrive sequen...
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10/10/2021
Self-Supervised 3D Face Reconstruction via Conditional Estimation
We present a conditional estimation (CEST) framework to learn 3D facial ...
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09/12/2021
SphereFace Revived: Unifying Hyperspherical Face Recognition
This paper addresses the deep face recognition problem under an open-set...
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08/03/2021
SphereFace2: Binary Classification is All You Need for Deep Face Recognition
State-of-the-art deep face recognition methods are mostly trained with a...
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03/02/2021
Learning with Hyperspherical Uniformity
Due to the over-parameterization nature, neural networks are a powerful ...
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10/23/2020
Iterative Graph Self-Distillation
How to discriminatively vectorize graphs is a fundamental challenge that...
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04/09/2020
Orthogonal Over-Parameterized Training
The inductive bias of a neural network is largely determined by the arch...
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10/28/2019
Neural Similarity Learning
Inner product-based convolution has been the founding stone of convoluti...
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06/12/2019
Compressive Hyperspherical Energy Minimization
Recent work on minimum hyperspherical energy (MHE) has demonstrated its ...
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12/22/2018
Bayesian Meta-network Architecture Learning
For deep neural networks, the particular structure often plays a vital r...
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08/06/2018
Simultaneous Edge Alignment and Learning
Edge detection is among the most fundamental vision problems for its rol...
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07/12/2018
Disjoint Mapping Network for Cross-modal Matching of Voices and Faces
We propose a novel framework, called Disjoint Mapping Network (DIMNet), ...
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05/23/2018
Learning towards Minimum Hyperspherical Energy
Neural networks are a powerful class of nonlinear functions that can be ...
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04/22/2018
Decoupled Networks
Inner product-based convolution has been a central component of convolut...
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03/31/2018
Iterative Learning with Open-set Noisy Labels
Large-scale datasets possessing clean label annotations are crucial for ...
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01/17/2018
Additive Margin Softmax for Face Verification
In this paper, we propose a conceptually simple and geometrically interp...
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11/08/2017
Deep Hyperspherical Learning
Convolution as inner product has been the founding basis of convolutiona...
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10/21/2017
Towards Black-box Iterative Machine Teaching
In this paper, we make an important step towards the black-box machine t...
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05/30/2017
Iterative Machine Teaching
In this paper, we consider the problem of machine teaching, the inverse ...
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11/15/2015
Robust Elastic Net Regression
We propose a robust elastic net (REN) model for high-dimensional sparse ...
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07/25/2015
Efficient Face Alignment via Locality-constrained Representation for Robust Recognition
Practical face recognition has been studied in the past decades, but sti...
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02/02/2015
Structured Occlusion Coding for Robust Face Recognition
Occlusion in face recognition is a common yet challenging problem. While...
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10/17/2014