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07/05/2023
Improving Automatic Parallel Training via Balanced Memory Workload Optimization
Transformer models have emerged as the leading approach for achieving st...
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11/25/2022
Galvatron: Efficient Transformer Training over Multiple GPUs Using Automatic Parallelism
Transformer models have achieved state-of-the-art performance on various...
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10/03/2022
SinGRAV: Learning a Generative Radiance Volume from a Single Natural Scene
We present a 3D generative model for general natural scenes. Lacking nec...
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04/16/2022
The Tree Loss: Improving Generalization with Many Classes
Multi-class classification problems often have many semantically similar...
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04/16/2022
BLCU-ICALL at SemEval-2022 Task 1: Cross-Attention Multitasking Framework for Definition Modeling
This paper describes the BLCU-ICALL system used in the SemEval-2022 Task...
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03/12/2022
Channel Estimation for Wideband MmWave MIMO OFDM System Exploiting Block Sparsity
In this letter, we investigate time-domain channel estimation for wideba...
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12/30/2021
V2V-Based Task Offloading and Resource Allocation in Vehicular Edge Computing Networks
In the research and application of vehicle ad hoc networks (VANETs), it ...
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12/03/2021
Global Context with Discrete Diffusion in Vector Quantised Modelling for Image Generation
The integration of Vector Quantised Variational AutoEncoder (VQ-VAE) wit...
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11/24/2021
One to Transfer All: A Universal Transfer Framework for Vision Foundation Model with Few Data
The foundation model is not the last chapter of the model production pip...
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11/07/2021
Hierarchical Segment-based Optimization for SLAM
This paper presents a hierarchical segment-based optimization method for...
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03/31/2021
Fixing the Teacher-Student Knowledge Discrepancy in Distillation
Training a small student network with the guidance of a larger teacher n...
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03/30/2021
Differentiable Network Adaption with Elastic Search Space
In this paper we propose a novel network adaption method called Differen...
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02/05/2021
A Collaborative Visual SLAM Framework for Service Robots
With the rapid deployment of service robots, a method should be establis...
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05/07/2020
DMCP: Differentiable Markov Channel Pruning for Neural Networks
Recent works imply that the channel pruning can be regarded as searching...
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01/15/2020
Improvement of an Approximated Self-Improving Sorter and Error Analysis of its Estimated Entropy
The self-improving sorter proposed by Ailon et al. consists of two phase...
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12/08/2019
Deep Reflection Prior
Reflections are very common phenomena in our daily photography, which di...
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06/26/2019
Low-Complexity Equalization of MIMO-OSDM
Orthogonal signal-division multiplexing (OSDM) is an attractive alternat...
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07/24/2018
Skin Lesion Segmentation Using Atrous Convolution via DeepLab v3
As melanoma diagnoses increase across the US, automated efforts to ident...
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04/14/2018
Beyond Trade-off: Accelerate FCN-based Face Detector with Higher Accuracy
Fully convolutional neural network (FCN) has been dominating the game of...
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03/29/2017
