Search Results for author: Qi Yu

Found 38 papers, 18 papers with code

“Again, Dozens of Refugees Drowned”: A Computational Study of Political Framing Evoked by Presuppositions

no code implementations NAACL (ACL) 2022 Qi Yu

Earlier NLP studies on framing in political discourse have focused heavily on shallow classification of issue framing, while framing effect arising from pragmatic cues remains neglected.

Reinforced Compressive Neural Architecture Search for Versatile Adversarial Robustness

1 code implementation10 Jun 2024 Dingrong Wang, Hitesh Sapkota, Zhiqiang Tao, Qi Yu

To solve this challenge, we propose a Reinforced Compressive Neural Architecture Search (RC-NAS) for Versatile Adversarial Robustness.

Adversarial Robustness Neural Architecture Search

Latent Space Energy-based Model for Fine-grained Open Set Recognition

no code implementations19 Sep 2023 Wentao Bao, Qi Yu, Yu Kong

A recent trend in OSR shows the benefit of generative models to discriminative unknown detection.

Attribute Density Estimation +1

On Model Explanations with Transferable Neural Pathways

no code implementations18 Sep 2023 Xinmiao Lin, Wentao Bao, Qi Yu, Yu Kong

Neural pathways as model explanations consist of a sparse set of neurons that provide the same level of prediction performance as the whole model.

Learn to Accumulate Evidence from All Training Samples: Theory and Practice

1 code implementation19 Jun 2023 Deep Pandey, Qi Yu

To unveil the real cause of this undesired behavior, we theoretically investigate evidential models and identify a fundamental limitation that explains the inferior performance: existing evidential activation functions create zero evidence regions, which prevent the model to learn from training samples falling into such regions.

Model-free Quantum Gate Design and Calibration using Deep Reinforcement Learning

1 code implementation5 Feb 2023 Omar Shindi, Qi Yu, Parth Girdhar, Daoyi Dong

The proposed framework relies only on the measurement at the end of the control process and offers the ability to find the optimal control policy without access to quantum systems during the learning process.

Model free quantum gate design quantum gate calibration +3

Evidential Conditional Neural Processes

1 code implementation30 Nov 2022 Deep Shankar Pandey, Qi Yu

The Conditional Neural Process (CNP) family of models offer a promising direction to tackle few-shot problems by achieving better scalability and competitive predictive performance.

Decision Making

Towards Open Set Video Anomaly Detection

no code implementations23 Aug 2022 Yuansheng Zhu, Wentao Bao, Qi Yu

We develop a novel weakly supervised method for the OpenVAD problem by integrating evidential deep learning (EDL) and normalizing flows (NFs) into a multiple instance learning (MIL) framework.

Anomaly Detection Multiple Instance Learning +1

Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks

1 code implementation15 Aug 2022 Jintang Li, Zhouxin Yu, Zulun Zhu, Liang Chen, Qi Yu, Zibin Zheng, Sheng Tian, Ruofan Wu, Changhua Meng

We explore a new direction in that we can capture the evolving dynamics of temporal graphs with spiking neural networks (SNNs) instead of RNNs.

Graph Representation Learning Node Classification

Balancing Bias and Variance for Active Weakly Supervised Learning

1 code implementation12 Jun 2022 Hitesh Sapkota, Qi Yu

We propose to conduct novel active deep multiple instance learning that samples a small subset of informative instances for annotation, aiming to significantly boost the instance-level prediction.

Multiple Instance Learning Weakly-supervised Learning

Spiking Graph Convolutional Networks

1 code implementation5 May 2022 Zulun Zhu, Jiaying Peng, Jintang Li, Liang Chen, Qi Yu, Siqiang Luo

Graph Convolutional Networks (GCNs) achieve an impressive performance due to the remarkable representation ability in learning the graph information.

Graph Classification Recommendation Systems

A Dynamic Meta-Learning Model for Time-Sensitive Cold-Start Recommendations

no code implementations3 Apr 2022 Krishna Prasad Neupane, Ervine Zheng, Yu Kong, Qi Yu

We present a novel dynamic recommendation model that focuses on users who have interactions in the past but turn relatively inactive recently.

Meta-Learning Recommendation Systems

Bayesian Nonparametric Submodular Video Partition for Robust Anomaly Detection

1 code implementation CVPR 2022 Hitesh Sapkota, Qi Yu

BN-SVP essentially performs dynamic non-parametric hierarchical clustering with an enhanced self-transition that groups segments in a video into temporally consistent and semantically coherent hidden states that can be naturally interpreted as scenes.

Anomaly Detection Multiple Instance Learning +1

Multidimensional Belief Quantification for Label-Efficient Meta-Learning

1 code implementation CVPR 2022 Deep Pandey, Qi Yu

The proposed model formulates a multidimensional belief measure, which can quantify the known uncertainty and lower bound the unknown uncertainty of any given task.

Few-Shot Image Classification Few-Shot Learning

OpenTAL: Towards Open Set Temporal Action Localization

1 code implementation CVPR 2022 Wentao Bao, Qi Yu, Yu Kong

The OpenTAL is general to enable existing TAL models for open set scenarios, and experimental results on THUMOS14 and ActivityNet1. 3 benchmarks show the effectiveness of our method.

Action Classification Classification +2

A Gaussian Process-Bayesian Bernoulli Mixture Model for Multi-Label Active Learning

no code implementations NeurIPS 2021 Weishi Shi, Dayou Yu, Qi Yu

However, data annotation for training MLC models becomes much more labor-intensive due to the correlated (hence non-exclusive) labels and a potential large and sparse label space.

Active Learning Inductive Bias +2

Deep Reinforced Attention Regression for Partial Sketch Based Image Retrieval

1 code implementation21 Nov 2021 Dingrong Wang, Hitesh Sapkota, Xumin Liu, Qi Yu

Fine-Grained Sketch-Based Image Retrieval (FG-SBIR) aims at finding a specific image from a large gallery given a query sketch.

regression Retrieval +1

Active Deep Multiple Instance Learning

no code implementations29 Sep 2021 Hitesh Sapkota, Qi Yu

We propose a novel active deep multiple instance learning (ADMIL) model that samples a small subset of informative instances for annotation, aiming to significantly boost the instance-level prediction.

Multiple Instance Learning

DRIVE: Deep Reinforced Accident Anticipation with Visual Explanation

1 code implementation ICCV 2021 Wentao Bao, Qi Yu, Yu Kong

Traffic accident anticipation aims to accurately and promptly predict the occurrence of a future accident from dashcam videos, which is vital for a safety-guaranteed self-driving system.

Accident Anticipation Decision Making

Evidential Deep Learning for Open Set Action Recognition

2 code implementations ICCV 2021 Wentao Bao, Qi Yu, Yu Kong

Different from image data, video actions are more challenging to be recognized in an open-set setting due to the uncertain temporal dynamics and static bias of human actions.

Open Set Action Recognition Open Set Learning +1

Distributionally Robust Optimization for Deep Kernel Multiple Instance Learning

1 code implementation AISTATS 2021 Hitesh Sapkota, Qi Yu

However, solely focusing on a single instance in a bag makes the model less robust to outliers or multi-modal scenarios, where a single bag contains a diverse set of positive instances.

Anomaly Detection Gaussian Processes +2

Dynamic Fusion of Eye Movement Data and Verbal Narrations in Knowledge-rich Domains

no code implementations NeurIPS 2020 Ervine Zheng, Qi Yu, Rui Li, Pengcheng Shi, Anne Haake

We propose to jointly analyze experts' eye movements and verbal narrations to discover important and interpretable knowledge patterns to better understand their decision-making processes.

Decision Making

Multifaceted Uncertainty Estimation for Label-Efficient Deep Learning

no code implementations NeurIPS 2020 Weishi Shi, Xujiang Zhao, Feng Chen, Qi Yu

We present a novel multi-source uncertainty prediction approach that enables deep learning (DL) models to be actively trained with much less labeled data.

Uncertainty-based Traffic Accident Anticipation with Spatio-Temporal Relational Learning

2 code implementations1 Aug 2020 Wentao Bao, Qi Yu, Yu Kong

The derived uncertainty-based ranking loss is found to significantly boost model performance by improving the quality of relational features.

Accident Anticipation Activity Prediction +4

Object-Aware Centroid Voting for Monocular 3D Object Detection

no code implementations20 Jul 2020 Wentao Bao, Qi Yu, Yu Kong

Monocular 3D object detection aims to detect objects in a 3D physical world from a single camera.

Depth Estimation Monocular 3D Object Detection +3

Improving the Decision-Making Process of Self-Adaptive Systems by Accounting for Tactic Volatility

no code implementations23 Apr 2020 Jeffrey Palmerino, Qi Yu, Travis Desell, Daniel E. Krutz

Unfortunately, current self-adaptive approaches do not account for tactic volatility in their decision-making processes, and merely assume that tactics do not experience volatility.

Decision Making Time Series +1

Integrating Bayesian and Discriminative Sparse Kernel Machines for Multi-class Active Learning

no code implementations NeurIPS 2019 Weishi Shi, Qi Yu

We propose a novel active learning (AL) model that integrates Bayesian and discriminative kernel machines for fast and accurate multi-class data sampling.

Active Learning

Evidence-Aware Entropy Decomposition For Active Deep Learning

no code implementations25 Sep 2019 Weishi Shi, Xujiang Zhao, Feng Chen, Qi Yu

We present a novel multi-source uncertainty prediction approach that enables deep learning (DL) models to be actively trained with much less labeled data.

Density Estimation

Dictionary Learning with BLOTLESS Update

1 code implementation24 Jun 2019 Qi Yu, Wei Dai, Zoran Cvetkovic, Jubo Zhu

BLOTLESS updates a block of dictionary elements and the corresponding sparse coefficients simultaneously.

Dictionary Learning

GNE: a deep learning framework for gene network inference by aggregating biological information

1 code implementation BMC Systems Biology 2019 Kishan KC, Rui Li, Feng Cui, Qi Yu, Anne R. Haake

However, it is still a challenging task to aggregate heterogeneous biological information such as gene expression and gene interactions to achieve more accurate inference for prediction and discovery of new gene interactions.

 Ranked #1 on Gene Interaction Prediction on BioGRID(yeast) (using extra training data)

Gene Interaction Prediction Link Prediction

edge2vec: Representation learning using edge semantics for biomedical knowledge discovery

1 code implementation7 Sep 2018 Zheng Gao, Gang Fu, Chunping Ouyang, Satoshi Tsutsui, Xiaozhong Liu, Jeremy Yang, Christopher Gessner, Brian Foote, David Wild, Qi Yu, Ying Ding

We propose this method for its added value relative to existing graph analytical methodology, and in the real world context of biomedical knowledge discovery applicability.

Biomedical Information Retrieval Information Retrieval +3

DLAU: A Scalable Deep Learning Accelerator Unit on FPGA

no code implementations23 May 2016 Chao Wang, Qi Yu, Lei Gong, Xi Li, Yuan Xie, Xuehai Zhou

As the emerging field of machine learning, deep learning shows excellent ability in solving complex learning problems.

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