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08/09/2023
Analyzing and controlling diversity in quantum-behaved particle swarm optimization
This paper addresses the issues of controlling and analyzing the populat...
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06/01/2023
Auto-Spikformer: Spikformer Architecture Search
The integration of self-attention mechanisms into Spiking Neural Network...
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05/26/2023
Expand, Rerank, and Retrieve: Query Reranking for Open-Domain Question Answering
We propose EAR, a query Expansion And Reranking approach for improving p...
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05/23/2023
Temporal Contrastive Learning for Spiking Neural Networks
Biologically inspired spiking neural networks (SNNs) have garnered consi...
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04/25/2023
Parallel Spiking Neurons with High Efficiency and Ability to Learn Long-term Dependencies
Vanilla spiking neurons in Spiking Neural Networks (SNNs) use charge-fir...
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04/07/2023
Interpretable Unified Language Checking
Despite recent concerns about undesirable behaviors generated by large l...
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03/08/2023
Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks
Spiking Neural Networks (SNNs) have gained great attraction due to their...
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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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01/28/2023
Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans
Human readers or radiologists routinely perform full-body multi-organ mu...
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11/05/2022
Simple Primitives with Feasibility- and Contextuality-Dependence for Open-World Compositional Zero-shot Learning
The task of Compositional Zero-Shot Learning (CZSL) is to recognize imag...
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11/30/2021
Neuron with Steady Response Leads to Better Generalization
Regularization can mitigate the generalization gap between training and ...
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05/11/2021
Pruning of Deep Spiking Neural Networks through Gradient Rewiring
Spiking Neural Networks (SNNs) have been attached great importance due t...
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02/08/2021
Spike-based Residual Blocks
Deep Spiking Neural Networks (SNNs) are harder to train than ANNs becaus...
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07/11/2020
Leaky Integrate-and-Fire Spiking Neuron with Learnable Membrane Time Parameter
The Spiking Neural Networks (SNNs) have attracted research interest due ...
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05/25/2020
Importance Sampling for Pathwise Sensitivity of Stochastic Chaotic Systems
This paper proposes a new pathwise sensitivity estimator for chaotic SDE...
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06/17/2019
Towards Transfer Learning for End-to-End Speech Synthesis from Deep Pre-Trained Language Models
Modern text-to-speech (TTS) systems are able to generate audio that soun...
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06/07/2019
FAKTA: An Automatic End-to-End Fact Checking System
We present FAKTA which is a unified framework that integrates various co...
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11/17/2017
Multi-Label Zero-Shot Learning with Structured Knowledge Graphs
In this paper, we propose a novel deep learning architecture for multi-l...
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06/14/2017
Zoom-in-Net: Deep Mining Lesions for Diabetic Retinopathy Detection
We propose a convolution neural network based algorithm for simultaneous...
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08/28/2016
Hierarchical Attention Model for Improved Machine Comprehension of Spoken Content
Multimedia or spoken content presents more attractive information than p...
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06/12/2013