research
∙
05/31/2023
Toward Understanding Why Adam Converges Faster Than SGD for Transformers
While stochastic gradient descent (SGD) is still the most popular optimi...
share
research
∙
05/12/2023
MotionBEV: Attention-Aware Online LiDAR Moving Object Segmentation with Bird's Eye View based Appearance and Motion Features
Identifying moving objects is an essential capability for autonomous sys...
research
∙
12/02/2022
Few-Shot Nested Named Entity Recognition
While Named Entity Recognition (NER) is a widely studied task, making in...
research
∙
10/12/2022
Optimizing Evaluation Metrics for Multi-Task Learning via the Alternating Direction Method of Multipliers
Multi-task learning (MTL) aims to improve the generalization performance...
research
∙
01/14/2022
ViT2Hash: Unsupervised Information-Preserving Hashing
Unsupervised image hashing, which maps images into binary codes without ...
research
∙
11/18/2021
How to Build Robust FAQ Chatbot with Controllable Question Generator?
Many unanswerable adversarial questions fool the question-answer (QA) sy...
research
∙
06/02/2021
Convergence and Optimal Complexity of the Adaptive Planewave Method for Eigenvalue Computations
In this paper, we study an adaptive planewave method for multiple eigenv...
research
∙
03/15/2021
3DCaricShop: A Dataset and A Baseline Method for Single-view 3D Caricature Face Reconstruction
Caricature is an artistic representation that deliberately exaggerates t...
research
∙
11/18/2019
Distributed Low Precision Training Without Mixed Precision
Low precision training is one of the most popular strategies for deployi...
research
∙
04/04/2019
Feature Pyramid Hashing
In recent years, deep-networks-based hashing has become a leading approa...
research
∙
04/17/2018
Improving Deep Binary Embedding Networks by Order-aware Reweighting of Triplets
In this paper, we focus on triplet-based deep binary embedding networks ...
research
∙
03/26/2018
Regularizing Deep Hashing Networks Using GAN Generated Fake Images
Recently, deep-networks-based hashing (deep hashing) has become a leadin...
research
∙
11/26/2017
Personalized and Occupational-aware Age Progression by Generative Adversarial Networks
Face age progression, which aims to predict the future looks, is importa...
research
∙
11/26/2017
HashGAN:Attention-aware Deep Adversarial Hashing for Cross Modal Retrieval
As the rapid growth of multi-modal data, hashing methods for cross-modal...
research
∙
11/08/2017
Transductive Zero-Shot Hashing via Coarse-to-Fine Similarity Mining
Zero-shot Hashing (ZSH) is to learn hashing models for novel/target clas...
research
∙
10/19/2017
Improved Search in Hamming Space using Deep Multi-Index Hashing
Similarity-preserving hashing is a widely-used method for nearest neighb...
research
∙
10/10/2016
Modelling Sentence Pairs with Tree-structured Attentive Encoder
We describe an attentive encoder that combines tree-structured recursive...
research
∙
04/14/2015
Simultaneous Feature Learning and Hash Coding with Deep Neural Networks
Similarity-preserving hashing is a widely-used method for nearest neighb...
research
∙
02/02/2015
