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07/28/2023
Skeleton-of-Thought: Large Language Models Can Do Parallel Decoding
This work aims at decreasing the end-to-end generation latency of large ...
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07/17/2023
Ada3D : Exploiting the Spatial Redundancy with Adaptive Inference for Efficient 3D Object Detection
Voxel-based methods have achieved state-of-the-art performance for 3D ob...
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06/15/2023
OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic Models
Diffusion probabilistic models (DPMs) are a new class of generative mode...
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07/16/2022
CLOSE: Curriculum Learning On the Sharing Extent Towards Better One-shot NAS
One-shot Neural Architecture Search (NAS) has been widely used to discov...
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04/05/2022
Fault-Tolerant Deep Learning: A Hierarchical Perspective
With the rapid advancements of deep learning in the past decade, it can ...
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12/12/2021
Multi-Agent Vulnerability Discovery for Autonomous Driving with Hazard Arbitration Reward
Discovering hazardous scenarios is crucial in testing and further improv...
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06/13/2021
BoolNet: Minimizing The Energy Consumption of Binary Neural Networks
Recent works on Binary Neural Networks (BNNs) have made promising progre...
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03/27/2021
Ensemble-in-One: Learning Ensemble within Random Gated Networks for Enhanced Adversarial Robustness
Adversarial attacks have rendered high security risks on modern deep lea...
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03/24/2021
FedGP: Correlation-Based Active Client Selection for Heterogeneous Federated Learning
Client-wise heterogeneity is one of the major issues that hinder effecti...
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12/22/2020
Multi-shot NAS for Discovering Adversarially Robust Convolutional Neural Architectures at Targeted Capacities
Convolutional neural networks (CNNs) are vulnerable to adversarial examp...
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11/25/2020
aw_nas: A Modularized and Extensible NAS framework
Neural Architecture Search (NAS) has received extensive attention due to...
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11/21/2020
BARS: Joint Search of Cell Topology and Layout for Accurate and Efficient Binary ARchitectures
Binary Neural Networks (BNNs) have received significant attention due to...
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08/07/2020
A Surgery of the Neural Architecture Evaluators
Neural architecture search (NAS) recently received extensive attention d...
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07/31/2020
Physical Adversarial Attack on Vehicle Detector in the Carla Simulator
In this paper, we tackle the issue of physical adversarial examples for ...
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06/04/2020
Towards Lower Bit Multiplication for Convolutional Neural Network Training
Convolutional Neural Networks (CNNs) have been widely used in many field...
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04/05/2020
DSA: More Efficient Budgeted Pruning via Differentiable Sparsity Allocation
Budgeted pruning is the problem of pruning under resource constraints. I...
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04/04/2020
A Generic Graph-based Neural Architecture Encoding Scheme for Predictor-based NAS
This work proposes a novel Graph-based neural ArchiTecture Encoding Sche...
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03/20/2020
FTT-NAS: Discovering Fault-Tolerant Neural Architecture
With the fast evolvement of embedded deep-learning computing systems, ap...
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06/18/2018
Nonparametric Topic Modeling with Neural Inference
This work focuses on combining nonparametric topic models with Auto-Enco...
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05/14/2018