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06/14/2023
Improving Generalization in Meta-Learning via Meta-Gradient Augmentation
Meta-learning methods typically follow a two-loop framework, where each ...
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05/04/2023
A Quantitative Analysis and Guideline of Data Streaming Accelerator in Intel 4th Gen Xeon Scalable Processors
As semiconductor power density is no longer constant with the technology...
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03/27/2023
Demystifying CXL Memory with Genuine CXL-Ready Systems and Devices
The high demand for memory capacity in modern datacenters has led to mul...
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03/17/2023
Robust Mode Connectivity-Oriented Adversarial Defense: Enhancing Neural Network Robustness Against Diversified ℓ_p Attacks
Adversarial robustness is a key concept in measuring the ability of neur...
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03/11/2023
MetaViewer: Towards A Unified Multi-View Representation
Existing multi-view representation learning methods typically follow a s...
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03/04/2023
Fine-Grained Classification with Noisy Labels
Learning with noisy labels (LNL) aims to ensure model generalization giv...
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01/23/2023
Enabling Kernel Bypass Networking on gem5
Full-system simulation of computer systems is critical to capture the co...
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01/20/2023
Towards Understanding How Self-training Tolerates Data Backdoor Poisoning
Recent studies on backdoor attacks in model training have shown that pol...
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11/07/2022
Physics-Constrained Backdoor Attacks on Power System Fault Localization
The advances in deep learning (DL) techniques have the potential to deli...
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10/01/2022
Learnable Distribution Calibration for Few-Shot Class-Incremental Learning
Few-shot class-incremental learning (FSCIL) faces challenges of memorizi...
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03/16/2022
ORCA: A Network and Architecture Co-design for Offloading us-scale Datacenter Applications
Responding to the "datacenter tax" and "killer microseconds" problems fo...
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10/06/2021
Multi-Trigger-Key: Towards Multi-Task Privacy Preserving In Deep Learning
Deep learning-based Multi-Task Classification (MTC) is widely used in ap...
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08/24/2021
Bridging Unsupervised and Supervised Depth from Focus via All-in-Focus Supervision
Depth estimation is a long-lasting yet important task in computer vision...
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08/15/2021
Deep Adversarially-Enhanced k-Nearest Neighbors
Recent works have theoretically and empirically shown that deep neural n...
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06/27/2021
ASK: Adversarial Soft k-Nearest Neighbor Attack and Defense
K-Nearest Neighbor (kNN)-based deep learning methods have been applied t...
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06/27/2021
Immuno-mimetic Deep Neural Networks (Immuno-Net)
Biomimetics has played a key role in the evolution of artificial neural ...
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02/20/2021
On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning
Model-agnostic meta-learning (MAML) has emerged as one of the most succe...
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12/18/2020
RAILS: A Robust Adversarial Immune-inspired Learning System
Adversarial attacks against deep neural networks are continuously evolvi...
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10/20/2020
Explorable Tone Mapping Operators
Tone-mapping plays an essential role in high dynamic range (HDR) imaging...
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08/21/2020
Learning Camera-Aware Noise Models
Modeling imaging sensor noise is a fundamental problem for image process...
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07/31/2020
Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases
When the training data are maliciously tampered, the predictions of the ...
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07/09/2020
IOCA: High-Speed I/O-Aware LLC Management for Network-Centric Multi-Tenant Platform
In modern server CPUs, last-level cache (LLC) is a critical hardware res...
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12/05/2019
Tensor Recovery from Noisy and Multi-Level Quantized Measurements
Higher-order tensors can represent scores in a rating system, frames in ...
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10/16/2019