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09/21/2023
LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models
We present LongLoRA, an efficient fine-tuning approach that extends the ...
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06/15/2023
Retrospective: EIE: Efficient Inference Engine on Sparse and Compressed Neural Network
EIE proposed to accelerate pruned and compressed neural networks, exploi...
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06/01/2023
AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration
Large language models (LLMs) have shown excellent performance on various...
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05/31/2023
DOTA: A Dynamically-Operated Photonic Tensor Core for Energy-Efficient Transformer Accelerator
The wide adoption and significant computing resource consumption of atte...
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05/26/2023
Real-Time Scheduling for Time-Sensitive Networking: A Systematic Review and Experimental Study
Time-Sensitive Networking (TSN) has been recognized as one of the key en...
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05/17/2023
FastComposer: Tuning-Free Multi-Subject Image Generation with Localized Attention
Diffusion models excel at text-to-image generation, especially in subjec...
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03/30/2023
SparseViT: Revisiting Activation Sparsity for Efficient High-Resolution Vision Transformer
High-resolution images enable neural networks to learn richer visual rep...
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02/09/2023
Offsite-Tuning: Transfer Learning without Full Model
Transfer learning is important for foundation models to adapt to downstr...
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01/20/2023
FlatFormer: Flattened Window Attention for Efficient Point Cloud Transformer
Transformer, as an alternative to CNN, has been proven effective in many...
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11/18/2022
SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models
Large language models (LLMs) show excellent performance but are compute-...
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11/03/2022
Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models
During image editing, existing deep generative models tend to re-synthes...
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10/30/2022
QuEst: Graph Transformer for Quantum Circuit Reliability Estimation
Among different quantum algorithms, PQC for QML show promises on near-te...
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10/15/2022
TopGen: Topology-Aware Bottom-Up Generator for Variational Quantum Circuits
Variational Quantum Algorithms (VQA) are promising to demonstrate quantu...
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08/02/2022
PAN: Pulse Ansatz on NISQ Machines
Variational quantum algorithms (VQAs) have demonstrated great potentials...
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07/13/2022
RobustAnalog: Fast Variation-Aware Analog Circuit Design Via Multi-task RL
Analog/mixed-signal circuit design is one of the most complex and time-c...
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06/30/2022
On-Device Training Under 256KB Memory
On-device training enables the model to adapt to new data collected from...
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06/19/2022
MME-CRS: Multi-Metric Evaluation Based on Correlation Re-Scaling for Evaluating Open-Domain Dialogue
Automatic open-domain dialogue evaluation is a crucial component of dial...
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05/29/2022
EfficientViT: Enhanced Linear Attention for High-Resolution Low-Computation Visual Recognition
Vision Transformer (ViT) has achieved remarkable performance in many vis...
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05/26/2022
BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
Multi-sensor fusion is essential for an accurate and reliable autonomous...
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05/03/2022
Lite Pose: Efficient Architecture Design for 2D Human Pose Estimation
Pose estimation plays a critical role in human-centered vision applicati...
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04/25/2022
PVNAS: 3D Neural Architecture Search with Point-Voxel Convolution
3D neural networks are widely used in real-world applications (e.g., AR/...
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04/25/2022
Enable Deep Learning on Mobile Devices: Methods, Systems, and Applications
Deep neural networks (DNNs) have achieved unprecedented success in the f...
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04/21/2022
TorchSparse: Efficient Point Cloud Inference Engine
Deep learning on point clouds has received increased attention thanks to...
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02/26/2022
QOC: Quantum On-Chip Training with Parameter Shift and Gradient Pruning
Parameterized Quantum Circuits (PQC) are drawing increasing research int...
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12/27/2021
AET-SGD: Asynchronous Event-triggered Stochastic Gradient Descent
Communication cost is the main bottleneck for the design of effective di...
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11/23/2021
VISTA 2.0: An Open, Data-driven Simulator for Multimodal Sensing and Policy Learning for Autonomous Vehicles
Simulation has the potential to transform the development of robust algo...
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10/28/2021
MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning
Tiny deep learning on microcontroller units (MCUs) is challenging due to...
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10/21/2021
RoQNN: Noise-Aware Training for Robust Quantum Neural Networks
Quantum Neural Network (QNN) is a promising application towards quantum ...
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10/17/2021
Network Augmentation for Tiny Deep Learning
We introduce Network Augmentation (NetAug), a new training method for im...
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10/14/2021
PointAcc: Efficient Point Cloud Accelerator
Deep learning on point clouds plays a vital role in a wide range of appl...
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09/27/2021
TSM: Temporal Shift Module for Efficient and Scalable Video Understanding on Edge Device
The explosive growth in video streaming requires video understanding at ...
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08/26/2021
LocTex: Learning Data-Efficient Visual Representations from Localized Textual Supervision
Computer vision tasks such as object detection and semantic/instance seg...
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07/22/2021
QuantumNAS: Noise-Adaptive Search for Robust Quantum Circuits
Quantum noise is the key challenge in Noisy Intermediate-Scale Quantum (...
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05/27/2021
NAAS: Neural Accelerator Architecture Search
Data-driven, automatic design space exploration of neural accelerator ar...
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05/20/2021
Efficient and Robust LiDAR-Based End-to-End Navigation
Deep learning has been used to demonstrate end-to-end neural network lea...
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03/10/2021
PatchNet – Short-range Template Matching for Efficient Video Processing
Object recognition is a fundamental problem in many video processing tas...
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03/04/2021
Anycost GANs for Interactive Image Synthesis and Editing
Generative adversarial networks (GANs) have enabled photorealistic image...
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12/17/2020
SpAtten: Efficient Sparse Attention Architecture with Cascade Token and Head Pruning
The attention mechanism is becoming increasingly popular in Natural Lang...
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11/02/2020
IOS: Inter-Operator Scheduler for CNN Acceleration
To accelerate CNN inference, existing deep learning frameworks focus on ...
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08/11/2020
Hardware-Centric AutoML for Mixed-Precision Quantization
Model quantization is a widely used technique to compress and accelerate...
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07/31/2020
Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
Self-driving cars need to understand 3D scenes efficiently and accuratel...
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07/22/2020
Tiny Transfer Learning: Towards Memory-Efficient On-Device Learning
We present Tiny-Transfer-Learning (TinyTL), an efficient on-device learn...
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07/20/2020
MCUNet: Tiny Deep Learning on IoT Devices
Machine learning on tiny IoT devices based on microcontroller units (MCU...
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06/18/2020
Differentiable Augmentation for Data-Efficient GAN Training
The performance of generative adversarial networks (GANs) heavily deteri...
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06/15/2020
APQ: Joint Search for Network Architecture, Pruning and Quantization Policy
We present APQ for efficient deep learning inference on resource-constra...
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05/28/2020
HAT: Hardware-Aware Transformers for Efficient Natural Language Processing
Transformers are ubiquitous in Natural Language Processing (NLP) tasks, ...
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05/16/2020
MicroNet for Efficient Language Modeling
It is important to design compact language models for efficient deployme...
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04/30/2020
GCN-RL Circuit Designer: Transferable Transistor Sizing with Graph Neural Networks and Reinforcement Learning
Automatic transistor sizing is a challenging problem in circuit design d...
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04/24/2020
Lite Transformer with Long-Short Range Attention
Transformer has become ubiquitous in natural language processing (e.g., ...
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04/12/2020