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09/19/2023
Fast and reconfigurable sort-in-memory system enabled by memristors
Sorting is fundamental and ubiquitous in modern computing systems. Hardw...
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06/27/2023
CLIPA-v2: Scaling CLIP Training with 81.1 within a $10,000 Budget; An Extra $4,000 Unlocks 81.8
The recent work CLIPA presents an inverse scaling law for CLIP training ...
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06/06/2023
Subgraph Networks Based Contrastive Learning
Graph contrastive learning (GCL), as a self-supervised learning method, ...
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05/25/2023
ZeroAvatar: Zero-shot 3D Avatar Generation from a Single Image
Recent advancements in text-to-image generation have enabled significant...
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05/16/2023
SpecInfer: Accelerating Generative LLM Serving with Speculative Inference and Token Tree Verification
The high computational and memory requirements of generative large langu...
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05/11/2023
An Inverse Scaling Law for CLIP Training
CLIP, the first foundation model that connects images and text, has enab...
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04/28/2023
Click-Feedback Retrieval
Retrieving target information based on input query is of fundamental imp...
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04/17/2023
Dumpy: A Compact and Adaptive Index for Large Data Series Collections
Data series indexes are necessary for managing and analyzing the increas...
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03/27/2023
Measuring Categorical Perception in Color-Coded Scatterplots
Scatterplots commonly use color to encode categorical data. However, as ...
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03/08/2023
A robust method for reliability updating with equality information using sequential adaptive importance sampling
Reliability updating refers to a problem that integrates Bayesian updati...
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01/25/2023
On the Adversarial Robustness of Camera-based 3D Object Detection
In recent years, camera-based 3D object detection has gained widespread ...
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10/28/2022
Thermal Infrared Image Inpainting via Edge-Aware Guidance
Image inpainting has achieved fundamental advances with deep learning. H...
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09/06/2022
Bag of Tricks for FGSM Adversarial Training
Adversarial training (AT) with samples generated by Fast Gradient Sign M...
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08/25/2022
Masked Autoencoders Enable Efficient Knowledge Distillers
This paper studies the potential of distilling knowledge from pre-traine...
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07/07/2022
Predicting Word Learning in Children from the Performance of Computer Vision Systems
For human children as well as machine learning systems, a key challenge ...
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06/30/2022
InsMix: Towards Realistic Generative Data Augmentation for Nuclei Instance Segmentation
Nuclei Segmentation from histology images is a fundamental task in digit...
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06/22/2022
Learning Optimal Treatment Strategies for Sepsis Using Offline Reinforcement Learning in Continuous Space
Sepsis is a leading cause of death in the ICU. It is a disease requiring...
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06/07/2022
Can CNNs Be More Robust Than Transformers?
The recent success of Vision Transformers is shaking the long dominance ...
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05/10/2022
Gamma and Vega Hedging Using Deep Distributional Reinforcement Learning
We use deep distributional reinforcement learning (RL) to develop a hedg...
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01/25/2022
Whose Language Counts as High Quality? Measuring Language Ideologies in Text Data Selection
Language models increasingly rely on massive web dumps for diverse text ...
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01/17/2022
Optimal monitoring location for risk tracking of geotechnical systems: theory and application to tunneling excavation risks
The maturity of structural health monitoring technology brings ever-incr...
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01/10/2022
Multi-query Video Retrieval
Retrieving target videos based on text descriptions is a task of great p...
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08/31/2021
Chi-square Loss for Softmax: an Echo of Neural Network Structure
Softmax working with cross-entropy is widely used in classification, whi...
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04/02/2021
Plot2API: Recommending Graphic API from Plot via Semantic Parsing Guided Neural Network
Plot-based Graphic API recommendation (Plot2API) is an unstudied but mea...
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09/08/2020
Towards Unique and Informative Captioning of Images
Despite considerable progress, state of the art image captioning models ...
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02/06/2020
Value of Information Analysis via Active Learning and Knowledge Sharing in Error-Controlled Adaptive Kriging
Large uncertainties in many phenomena of interest have challenged the re...
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02/04/2020
REAK: Reliability analysis through Error rate-based Adaptive Kriging
As models in various fields are becoming more complex, associated comput...
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11/26/2019
Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation
Computer vision models learn to perform a task by capturing relevant sta...
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11/14/2019
SiamFC++: Towards Robust and Accurate Visual Tracking with Target Estimation Guidelines
Visual tracking problem demands to efficiently perform robust classifica...
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10/25/2019
Self-supervised Learning of Detailed 3D Face Reconstruction
In this paper, we present an end-to-end learning framework for detailed ...
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04/19/2019
SCANN: Synthesis of Compact and Accurate Neural Networks
Artificial neural networks (ANNs) have become the driving force behind r...
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01/17/2019
RepChain: A Reputation based Secure, Fast and High Incentive Blockchain System via Sharding
In today's blockchain system, designing a secure and high throughput on ...
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07/31/2018
