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08/31/2023
Artificial to Spiking Neural Networks Conversion for Scientific Machine Learning
We introduce a method to convert Physics-Informed Neural Networks (PINNs...
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07/31/2023
FinVis-GPT: A Multimodal Large Language Model for Financial Chart Analysis
In this paper, we propose FinVis-GPT, a novel multimodal large language ...
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07/01/2023
SysNoise: Exploring and Benchmarking Training-Deployment System Inconsistency
Extensive studies have shown that deep learning models are vulnerable to...
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06/13/2023
A Primal-Dual-Critic Algorithm for Offline Constrained Reinforcement Learning
Offline constrained reinforcement learning (RL) aims to learn a policy t...
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05/27/2023
Input-Aware Dynamic Timestep Spiking Neural Networks for Efficient In-Memory Computing
Spiking Neural Networks (SNNs) have recently attracted widespread resear...
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05/26/2023
Sharing Leaky-Integrate-and-Fire Neurons for Memory-Efficient Spiking Neural Networks
Spiking Neural Networks (SNNs) have gained increasing attention as energ...
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05/26/2023
Do We Really Need a Large Number of Visual Prompts?
Due to increasing interest in adapting models on resource-constrained ed...
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05/16/2023
MINT: Multiplier-less Integer Quantization for Spiking Neural Networks
We propose Multiplier-less INTeger (MINT) quantization, an efficient uni...
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04/25/2023
Uncovering the Representation of Spiking Neural Networks Trained with Surrogate Gradient
Spiking Neural Networks (SNNs) are recognized as the candidate for the n...
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04/18/2023
Outlier Suppression+: Accurate quantization of large language models by equivalent and optimal shifting and scaling
Quantization of transformer language models faces significant challenges...
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04/12/2023
Universal Polarization Transformations: Spatial programming of polarization scattering matrices using a deep learning-designed diffractive polarization transformer
We demonstrate universal polarization transformers based on an engineere...
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04/02/2023
SEENN: Towards Temporal Spiking Early-Exit Neural Networks
Spiking Neural Networks (SNNs) have recently become more popular as a bi...
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02/13/2023
Workload-Balanced Pruning for Sparse Spiking Neural Networks
Pruning for Spiking Neural Networks (SNNs) has emerged as a fundamental ...
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11/26/2022
Exploring Temporal Information Dynamics in Spiking Neural Networks
Most existing Spiking Neural Network (SNN) works state that SNNs may uti...
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11/14/2022
Wearable-based Human Activity Recognition with Spatio-Temporal Spiking Neural Networks
We study the Human Activity Recognition (HAR) task, which predicts user ...
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11/10/2022
AnimeRun: 2D Animation Visual Correspondence from Open Source 3D Movies
Existing correspondence datasets for two-dimensional (2D) cartoon suffer...
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11/04/2022
High-Resolution Boundary Detection for Medical Image Segmentation with Piece-Wise Two-Sample T-Test Augmented Loss
Deep learning methods have contributed substantially to the rapid advanc...
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08/08/2022
All-optical image classification through unknown random diffusers using a single-pixel diffractive network
Classification of an object behind a random and unknown scattering mediu...
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07/04/2022
Lottery Ticket Hypothesis for Spiking Neural Networks
Spiking Neural Networks (SNNs) have recently emerged as a new generation...
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05/29/2022
An Optimization-based Algorithm for Non-stationary Kernel Bandits without Prior Knowledge
We propose an algorithm for non-stationary kernel bandits that does not ...
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05/26/2022
To image, or not to image: Class-specific diffractive cameras with all-optical erasure of undesired objects
Privacy protection is a growing concern in the digital era, with machine...
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05/01/2022
Analysis of Diffractive Neural Networks for Seeing Through Random Diffusers
Imaging through diffusive media is a challenging problem, where the exis...
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03/24/2022
Addressing Client Drift in Federated Continual Learning with Adaptive Optimization
Federated learning has been extensively studied and is the prevalent met...
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03/11/2022
Neuromorphic Data Augmentation for Training Spiking Neural Networks
Developing neuromorphic intelligence on event-based datasets with spikin...
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03/11/2022
QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization
Recently, post-training quantization (PTQ) has driven much attention to ...
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01/23/2022
Neural Architecture Search for Spiking Neural Networks
Spiking Neural Networks (SNNs) have gained huge attention as a potential...
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11/05/2021
MQBench: Towards Reproducible and Deployable Model Quantization Benchmark
Model quantization has emerged as an indispensable technique to accelera...
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09/02/2021
Real World Robustness from Systematic Noise
Systematic error, which is not determined by chance, often refers to the...
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08/26/2021
Design of a Flying Humanoid Robot Based on Thrust Vector Control
Achieving short-distance flight helps improve the efficiency of humanoid...
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06/13/2021
A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration
Spiking Neural Network (SNN) has been recognized as one of the next gene...
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06/12/2021
Lvio-Fusion: A Self-adaptive Multi-sensor Fusion SLAM Framework Using Actor-critic Method
State estimation with sensors is essential for mobile robots. Due to sen...
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03/01/2021
Diversifying Sample Generation for Accurate Data-Free Quantization
Quantization has emerged as one of the most prevalent approaches to comp...
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02/10/2021
BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction
We study the challenging task of neural network quantization without end...
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11/19/2020
Learning in School: Multi-teacher Knowledge Inversion for Data-Free Quantization
User data confidentiality protection is becoming a rising challenge in t...
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08/31/2020
DeepFacePencil: Creating Face Images from Freehand Sketches
In this paper, we explore the task of generating photo-realistic face im...
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03/17/2020
Efficient Bitwidth Search for Practical Mixed Precision Neural Network
Network quantization has rapidly become one of the most widely used meth...
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12/04/2019
RTN: Reparameterized Ternary Network
To deploy deep neural networks on resource-limited devices, quantization...
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10/20/2019
LinesToFacePhoto: Face Photo Generation from Lines with Conditional Self-Attention Generative Adversarial Network
In this paper, we explore the task of generating photo-realistic face im...
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09/28/2019