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09/21/2023
Unveiling Optimal SDG Pathways: An Innovative Approach Leveraging Graph Pruning and Intent Graph for Effective Recommendations
The recommendation of appropriate development pathways, also known as ec...
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04/24/2023
Auto-CARD: Efficient and Robust Codec Avatar Driving for Real-time Mobile Telepresence
Real-time and robust photorealistic avatars for telepresence in AR/VR ha...
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03/19/2023
Trainable Projected Gradient Method for Robust Fine-tuning
Recent studies on transfer learning have shown that selectively fine-tun...
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02/28/2023
Mask3D: Pre-training 2D Vision Transformers by Learning Masked 3D Priors
Current popular backbones in computer vision, such as Vision Transformer...
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11/18/2022
Castling-ViT: Compressing Self-Attention via Switching Towards Linear-Angular Attention During Vision Transformer Inference
Vision Transformers (ViTs) have shown impressive performance but still r...
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11/12/2022
3D-Aware Encoding for Style-based Neural Radiance Fields
We tackle the task of NeRF inversion for style-based neural radiance fie...
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10/17/2022
Token Merging: Your ViT But Faster
We introduce Token Merging (ToMe), a simple method to increase the throu...
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10/09/2022
Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP
Open-vocabulary semantic segmentation aims to segment an image into sema...
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09/15/2022
Hydra Attention: Efficient Attention with Many Heads
While transformers have begun to dominate many tasks in vision, applying...
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08/29/2022
Open-Set Semi-Supervised Object Detection
Recent developments for Semi-Supervised Object Detection (SSOD) have sho...
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07/14/2022
NASRec: Weight Sharing Neural Architecture Search for Recommender Systems
The rise of deep neural networks provides an important driver in optimiz...
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11/25/2021
Cross-Domain Object Detection via Adaptive Self-Training
We tackle the problem of domain adaptation in object detection, where th...
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11/19/2021
FBNetV5: Neural Architecture Search for Multiple Tasks in One Run
Neural Architecture Search (NAS) has been widely adopted to design accur...
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11/22/2020
FP-NAS: Fast Probabilistic Neural Architecture Search
Differential Neural Architecture Search (NAS) requires all layer choices...
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07/29/2020
Fully Dynamic Inference with Deep Neural Networks
Modern deep neural networks are powerful and widely applicable models th...
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06/05/2020
Visual Transformers: Token-based Image Representation and Processing for Computer Vision
Computer vision has achieved great success using standardized image repr...
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06/03/2020
FBNetV3: Joint Architecture-Recipe Search using Neural Acquisition Function
Neural Architecture Search (NAS) yields state-of-the-art neural networks...
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04/12/2020
FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions
Differentiable Neural Architecture Search (DNAS) has demonstrated great ...
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12/12/2019
STEERAGE: Synthesis of Neural Networks Using Architecture Search and Grow-and-Prune Methods
Neural networks (NNs) have been successfully deployed in many applicatio...
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10/11/2019
DiabDeep: Pervasive Diabetes Diagnosis based on Wearable Medical Sensors and Efficient Neural Networks
Diabetes impacts the quality of life of millions of people. However, dia...
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05/27/2019
Incremental Learning Using a Grow-and-Prune Paradigm with Efficient Neural Networks
Deep neural networks (DNNs) have become a widely deployed model for nume...
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12/21/2018
ChamNet: Towards Efficient Network Design through Platform-Aware Model Adaptation
This paper proposes an efficient neural network (NN) architecture design...
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12/09/2018
FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search
Designing accurate and efficient ConvNets for mobile devices is challeng...
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05/30/2018
Grow and Prune Compact, Fast, and Accurate LSTMs
Long short-term memory (LSTM) has been widely used for sequential data m...
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05/30/2018
Grow and Prune Compact, Fast, and AccurateLSTMs
Long short-term memory (LSTM) has been widely used for sequential data m...
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02/05/2018
PinMe: Tracking a Smartphone User around the World
With the pervasive use of smartphones that sense, collect, and process v...
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11/06/2017
