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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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02/08/2023
Learning Graph-Enhanced Commander-Executor for Multi-Agent Navigation
This paper investigates the multi-agent navigation problem, which requir...
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01/09/2023
Asynchronous Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-Robot Cooperative Exploration
We consider the problem of cooperative exploration where multiple robots...
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11/23/2022
A 65nm 8b-Activation 8b-Weight SRAM-Based Charge-Domain Computing-in-Memory Macro Using A Fully-Parallel Analog Adder Network and A Single-ADC Interface
Performing data-intensive tasks in the von Neumann architecture is chall...
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10/31/2022
Block-Wise Dynamic-Precision Neural Network Training Acceleration via Online Quantization Sensitivity Analytics
Data quantization is an effective method to accelerate neural network tr...
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10/17/2022
Cross-layer Attention Network for Fine-grained Visual Categorization
Learning discriminative representations for subtle localized details pla...
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08/18/2022
GRAPHIC: GatheR-And-Process in Highly parallel with In-SSD Compression Architecture in Very Large-Scale Graph
Graph convolutional network (GCN), an emerging algorithm for graph compu...
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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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06/16/2022
ALL-MASK: A Reconfigurable Logic Locking Method for Multicore Architecture with Sequential-Instruction-Oriented Key
Intellectual property (IP) piracy has become a non-negligible problem as...
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06/01/2022
YOLoC: DeploY Large-Scale Neural Network by ROM-based Computing-in-Memory using ResiduaL Branch on a Chip
Computing-in-memory (CiM) is a promising technique to achieve high energ...
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05/23/2022
FAST: A Fully-Concurrent Access Technique to All SRAM Rows for Enhanced Speed and Energy Efficiency in Data-Intensive Applications
Compute-in-memory (CiM) is a promising approach to improving the computi...
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02/24/2022
Explore-Bench: Data Sets, Metrics and Evaluations for Frontier-based and Deep-reinforcement-learning-based Autonomous Exploration
Autonomous exploration and mapping of unknown terrains employing single ...
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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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11/08/2021
Variational Automatic Curriculum Learning for Sparse-Reward Cooperative Multi-Agent Problems
We introduce a curriculum learning algorithm, Variational Automatic Curr...
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10/12/2021
Learning Efficient Multi-Agent Cooperative Visual Exploration
We consider the task of visual indoor exploration with multiple agents, ...
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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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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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11/18/2020
Attentional Separation-and-Aggregation Network for Self-supervised Depth-Pose Learning in Dynamic Scenes
Learning depth and ego-motion from unlabeled videos via self-supervision...
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10/13/2020
High Area/Energy Efficiency RRAM CNN Accelerator with Kernel-Reordering Weight Mapping Scheme Based on Pattern Pruning
Resistive Random Access Memory (RRAM) is an emerging device for processi...
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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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07/07/2020
GE-SpMM: General-purpose Sparse Matrix-Matrix Multiplication on GPUs for Graph Neural Networks
Graph Neural Networks (GNNs) have achieved significant improvements in v...
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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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03/26/2020
Enabling Efficient and Flexible FPGA Virtualization for Deep Learning in the Cloud
FPGAs have shown great potential in providing low-latency and energy-eff...
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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
Hu-Fu: Hardware and Software Collaborative Attack Framework against Neural Networks
Recently, Deep Learning (DL), especially Convolutional Neural Network (C...
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04/26/2018
Two-Stream Binocular Network: Accurate Near Field Finger Detection Based On Binocular Images
Fingertip detection plays an important role in human computer interactio...
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04/02/2018
Interactive Hand Pose Estimation: Boosting accuracy in localizing extended finger joints
Accurate 3D hand pose estimation plays an important role in Human Machin...
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12/24/2017
A Survey of FPGA Based Neural Network Accelerator
Recent researches on neural network have shown great advantage in comput...
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02/08/2017
Region Ensemble Network: Improving Convolutional Network for Hand Pose Estimation
Hand pose estimation from monocular depth images is an important and cha...
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12/01/2016
ESE: Efficient Speech Recognition Engine with Sparse LSTM on FPGA
Long Short-Term Memory (LSTM) is widely used in speech recognition. In o...
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03/07/2016
A Real-Time and Energy-Efficient Implementation of Difference-of-Gaussian with Flexible Thin-Film Transistors
With many advantageous features, softness and better biocompatibility, f...
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08/11/2014
Physical Computing With No Clock to Implement the Gaussian Pyramid of SIFT Algorithm
Physical computing is a technology utilizing the nature of electronic de...
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05/21/2012
