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08/23/2023
A Unified Framework for 3D Point Cloud Visual Grounding
3D point cloud visual grounding plays a critical role in 3D scene compre...
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08/14/2023
Knowledge Prompt-tuning for Sequential Recommendation
Pre-trained language models (PLMs) have demonstrated strong performance ...
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08/01/2023
MetaGPT: Meta Programming for Multi-Agent Collaborative Framework
Recently, remarkable progress has been made in automated task-solving th...
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07/14/2023
Learning Sparse Neural Networks with Identity Layers
The sparsity of Deep Neural Networks is well investigated to maximize th...
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06/23/2023
MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models
Multimodal Large Language Model (MLLM) relies on the powerful LLM to per...
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05/29/2023
Out-of-Distributed Semantic Pruning for Robust Semi-Supervised Learning
Recent advances in robust semi-supervised learning (SSL) typically filte...
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05/20/2023
Probabilistic Modeling: Proving the Lottery Ticket Hypothesis in Spiking Neural Network
The Lottery Ticket Hypothesis (LTH) states that a randomly-initialized l...
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04/11/2023
Data-Efficient Image Quality Assessment with Attention-Panel Decoder
Blind Image Quality Assessment (BIQA) is a fundamental task in computer ...
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02/25/2023
A Unified Framework for Soft Threshold Pruning
Soft threshold pruning is among the cutting-edge pruning methods with st...
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11/26/2022
Meta Architecure for Point Cloud Analysis
Recent advances in 3D point cloud analysis bring a diverse set of networ...
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11/24/2022
Iterative Data Refinement for Self-Supervised MR Image Reconstruction
Magnetic Resonance Imaging (MRI) has become an important technique in th...
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11/15/2022
DIGEST: Deeply supervIsed knowledGE tranSfer neTwork learning for brain tumor segmentation with incomplete multi-modal MRI scans
Brain tumor segmentation based on multi-modal magnetic resonance imaging...
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11/15/2022
Adaptive PromptNet For Auxiliary Glioma Diagnosis without Contrast-Enhanced MRI
Multi-contrast magnetic resonance imaging (MRI)-based automatic auxiliar...
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03/23/2022
Training-free Transformer Architecture Search
Recently, Vision Transformer (ViT) has achieved remarkable success in se...
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01/04/2022
What Hinders Perceptual Quality of PSNR-oriented Methods?
In this paper, we discover two factors that inhibit POMs from achieving ...
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09/16/2021
OMPQ: Orthogonal Mixed Precision Quantization
To bridge the ever increasing gap between deep neural networks' complexi...
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08/19/2021
An Information Theory-inspired Strategy for Automatic Network Pruning
Despite superior performance on many computer vision tasks, deep convolu...
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06/04/2021
You Only Compress Once: Towards Effective and Elastic BERT Compression via Exploit-Explore Stochastic Nature Gradient
Despite superior performance on various natural language processing task...
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03/25/2021
On Evolving Attention Towards Domain Adaptation
Towards better unsupervised domain adaptation (UDA). Recently, researche...
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11/09/2020
PAMS: Quantized Super-Resolution via Parameterized Max Scale
Deep convolutional neural networks (DCNNs) have shown dominant performan...
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09/08/2020
Binarized Neural Architecture Search for Efficient Object Recognition
Traditional neural architecture search (NAS) has a significant impact in...
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05/20/2020
Rethinking Performance Estimation in Neural Architecture Search
Neural architecture search (NAS) remains a challenging problem, which is...
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11/25/2019
Binarized Neural Architecture Search
Neural architecture search (NAS) can have a significant impact in comput...
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05/28/2019
Dynamic Distribution Pruning for Efficient Network Architecture Search
Network architectures obtained by Neural Architecture Search (NAS) have ...
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05/18/2019