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08/22/2023
Aspect-oriented Opinion Alignment Network for Aspect-Based Sentiment Classification
Aspect-based sentiment classification is a crucial problem in fine-grain...
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07/18/2023
Llama 2: Open Foundation and Fine-Tuned Chat Models
In this work, we develop and release Llama 2, a collection of pretrained...
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05/26/2023
A Study on Knowledge Distillation from Weak Teacher for Scaling Up Pre-trained Language Models
Distillation from Weak Teacher (DWT) is a method of transferring knowled...
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05/22/2023
Learning Easily Updated General Purpose Text Representations with Adaptable Task-Specific Prefixes
Many real-world applications require making multiple predictions from th...
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05/06/2023
Residual Prompt Tuning: Improving Prompt Tuning with Residual Reparameterization
Prompt tuning is one of the successful approaches for parameter-efficien...
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04/01/2023
SVT: Supertoken Video Transformer for Efficient Video Understanding
Whether by processing videos with fixed resolution from start to end or ...
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01/29/2023
Progressive Prompts: Continual Learning for Language Models
We introduce Progressive Prompts - a simple and efficient approach for c...
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01/25/2023
XLM-V: Overcoming the Vocabulary Bottleneck in Multilingual Masked Language Models
Large multilingual language models typically rely on a single vocabulary...
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12/29/2022
TensorFHE: Achieving Practical Computation on Encrypted Data Using GPGPU
In this paper, we propose TensorFHE, an FHE acceleration solution based ...
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12/10/2022
Uniform Masking Prevails in Vision-Language Pretraining
Masked Language Modeling (MLM) has proven to be an essential component o...
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11/11/2022
Remapped Cache Layout: Thwarting Cache-Based Side-Channel Attacks with a Hardware Defense
As cache-based side-channel attacks become serious security problems, va...
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10/14/2022
Adaptable Claim Rewriting with Offline Reinforcement Learning for Effective Misinformation Discovery
We propose a novel system to help fact-checkers formulate search queries...
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06/01/2022
Defensive Design of Saturating Counters Based on Differential Privacy
The saturating counter is the basic module of the dynamic branch predict...
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04/09/2022
IDPG: An Instance-Dependent Prompt Generation Method
Prompt tuning is a new, efficient NLP transfer learning paradigm that ad...
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10/14/2021
UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning
Conventional fine-tuning of pre-trained language models tunes all model ...
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12/02/2020
PiPoMonitor: Mitigating Cross-core Cache Attacks Using the Auto-Cuckoo Filter
Cache side channel attacks obtain victim cache line access footprint to ...
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10/31/2020
Weakly Supervised 3D Classification of Chest CT using Aggregated Multi-Resolution Deep Segmentation Features
Weakly supervised disease classification of CT imaging suffers from poor...
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08/03/2020
Weakly Supervised Multi-Organ Multi-Disease Classification of Body CT Scans
We designed a multi-organ, multi-label disease classification algorithm ...
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05/17/2020
A Lightweight Isolation Mechanism for Secure Branch Predictors
Recently exposed vulnerabilities reveal the necessity to improve the sec...
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02/27/2020
Semantically-Guided Representation Learning for Self-Supervised Monocular Depth
Self-supervised learning is showing great promise for monocular depth es...
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02/04/2020
Measuring the Utilization of Public Open Spaces by Deep Learning: a Benchmark Study at the Detroit Riverfront
Physical activities and social interactions are essential activities tha...
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12/03/2019
Real-Time Panoptic Segmentation from Dense Detections
Panoptic segmentation is a complex full scene parsing task requiring sim...
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09/04/2019
Towards Automatic Detection of Misinformation in Online Medical Videos
Recent years have witnessed a significant increase in the online sharing...
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07/21/2019
An Efficient 3D CNN for Action/Object Segmentation in Video
Convolutional Neural Network (CNN) based image segmentation has made gre...
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04/09/2019
Enabling Privacy-Preserving, Compute- and Data-Intensive Computing using Heterogeneous Trusted Execution Environment
There is an urgent demand for privacy-preserving techniques capable of s...
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11/30/2017
An End-to-end 3D Convolutional Neural Network for Action Detection and Segmentation in Videos
In this paper, we propose an end-to-end 3D CNN for action detection and ...
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03/30/2017
