b'Volker Tresp'

research

∙ 05/26/2023

GRAtt-VIS: Gated Residual Attention for Auto Rectifying Video Instance Segmentation

Recent trends in Video Instance Segmentation (VIS) have seen a growing r...

0 Tanveer Hannan, et al. ∙

research

∙ 05/15/2023

A Knowledge Graph Perspective on Supply Chain Resilience

Global crises and regulatory developments require increased supply chain...

0 Yushan Liu, et al. ∙

research

∙ 04/02/2023

Improving Few-Shot Inductive Learning on Temporal Knowledge Graphs using Confidence-Augmented Reinforcement Learning

Temporal knowledge graph completion (TKGC) aims to predict the missing l...

0 Zifeng Ding, et al. ∙

research

∙ 01/12/2023

Modeling the evolution of temporal knowledge graphs with uncertainty

Forecasting future events is a fundamental challenge for temporal knowle...

0 Soeren Nolting, et al. ∙

research

∙ 12/23/2022

Do DALL-E and Flamingo Understand Each Other?

A major goal of multimodal research is to improve machine understanding ...

0 Hang Li, et al. ∙

research

∙ 11/19/2022

CL-CrossVQA: A Continual Learning Benchmark for Cross-Domain Visual Question Answering

Visual Question Answering (VQA) is a multi-discipline research task. To ...

0 Yao Zhang, et al. ∙

research

∙ 11/15/2022

Few-Shot Inductive Learning on Temporal Knowledge Graphs using Concept-Aware Information

Knowledge graph completion (KGC) aims to predict the missing links among...

0 Zifeng Ding, et al. ∙

research

∙ 09/29/2022

Named Entity Recognition in Industrial Tables using Tabular Language Models

Specialized transformer-based models for encoding tabular data have gain...

3 Aneta Koleva, et al. ∙

research

∙ 08/22/2022

InstanceFormer: An Online Video Instance Segmentation Framework

Recent transformer-based offline video instance segmentation (VIS) appro...

1 Rajat Koner, et al. ∙

research

∙ 08/12/2022

Forecasting Question Answering over Temporal Knowledge Graphs

Question answering over temporal knowledge graphs (TKGQA) has recently f...

0 Zifeng Ding, et al. ∙

research

∙ 07/25/2022

SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation Robustness

Deep neural network-based image classifications are vulnerable to advers...

0 Jindong Gu, et al. ∙

research

∙ 06/13/2022

Biologically Inspired Neural Path Finding

The human brain can be considered to be a graphical structure comprising...

0 Hang Li, et al. ∙

research

∙ 06/03/2022

On Calibration of Graph Neural Networks for Node Classification

Graphs can model real-world, complex systems by representing entities an...

0 Tong Liu, et al. ∙

research

∙ 05/31/2022

Continuous Temporal Graph Networks for Event-Based Graph Data

There has been an increasing interest in modeling continuous-time dynami...

0 Jin Guo, et al. ∙

research

∙ 05/30/2022

FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation

Federated Learning (FL) is a decentralized learning paradigm in which mu...

6 Haokun Chen, et al. ∙

research

∙ 05/21/2022

Learning Meta Representations of One-shot Relations for Temporal Knowledge Graph Link Prediction

Few-shot relational learning for static knowledge graphs (KGs) has drawn...

0 Zifeng Ding, et al. ∙

research

∙ 03/19/2022

Relationformer: A Unified Framework for Image-to-Graph Generation

A comprehensive representation of an image requires understanding object...

10 Suprosanna, et al. ∙

research

∙ 03/17/2022

Enhanced Temporal Knowledge Embeddings with Contextualized Language Representations

With the emerging research effort to integrate structured and unstructur...

0 Zhen Han, et al. ∙

research

∙ 12/15/2021

TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs

Conventional static knowledge graphs model entities in relational data a...

0 Yushan Liu, et al. ∙

research

∙ 12/14/2021

A Simple But Powerful Graph Encoder for Temporal Knowledge Graph Completion

While knowledge graphs contain rich semantic knowledge of various entiti...

0 Zifeng Ding, et al. ∙

research

∙ 11/22/2021

Adversarial Examples on Segmentation Models Can be Easy to Transfer

Deep neural network-based image classification can be misled by adversar...

0 Jindong Gu, et al. ∙

research

∙ 11/20/2021

Are Vision Transformers Robust to Patch Perturbations?

The recent advances in Vision Transformer (ViT) have demonstrated its im...

16 Jindong Gu, et al. ∙

research

∙ 10/28/2021

Generating Table Vector Representations

High-quality Web tables are rich sources of information that can be used...

0 Aneta Koleva, et al. ∙

research

∙ 09/27/2021

The Tensor Brain: A Unified Theory of Perception, Memory and Semantic Decoding

We present a unified computational theory of perception and memory. In o...

5 Volker Tresp, et al. ∙

research

∙ 09/24/2021

Description-based Label Attention Classifier for Explainable ICD-9 Classification

ICD-9 coding is a relevant clinical billing task, where unstructured tex...

0 Malte Feucht, et al. ∙

research

∙ 08/10/2021

Adaptive Multi-Resolution Attention with Linear Complexity

Transformers have improved the state-of-the-art across numerous tasks in...

0 Yao Zhang, et al. ∙

research

∙ 08/03/2021

Categorical EHR Imputation with Generative Adversarial Nets

Electronic Health Records often suffer from missing data, which poses a ...

0 Yinchong Yang, et al. ∙

research

∙ 07/26/2021

Uncertainty-Aware Time-to-Event Prediction using Deep Kernel Accelerated Failure Time Models

Recurrent neural network based solutions are increasingly being used in ...

0 Zhiliang Wu, et al. ∙

research

∙ 07/19/2021

OODformer: Out-Of-Distribution Detection Transformer

A serious problem in image classification is that a trained model might ...

0 Rajat Koner, et al. ∙

research

∙ 07/13/2021

Graphhopper: Multi-Hop Scene Graph Reasoning for Visual Question Answering

Visual Question Answering (VQA) is concerned with answering free-form qu...

0 Rajat Koner, et al. ∙

research

∙ 07/12/2021

Scenes and Surroundings: Scene Graph Generation using Relation Transformer

Identifying objects in an image and their mutual relationships as a scen...

1 Rajat Koner, et al. ∙

research

∙ 07/10/2021

Improving Inductive Link Prediction Using Hyper-Relational Facts

For many years, link prediction on knowledge graphs (KGs) has been a pur...

0 Mehdi Ali, et al. ∙

research

∙ 06/01/2021

Quantifying Predictive Uncertainty in Medical Image Analysis with Deep Kernel Learning

Deep neural networks are increasingly being used for the analysis of med...

0 Zhiliang Wu, et al. ∙

research

∙ 03/29/2021

Capsule Network is Not More Robust than Convolutional Network

The Capsule Network is widely believed to be more robust than Convolutio...

0 Jindong Gu, et al. ∙

research

∙ 03/18/2021

Neural Multi-Hop Reasoning With Logical Rules on Biomedical Knowledge Graphs

Biomedical knowledge graphs permit an integrative computational approach...

0 Yushan Liu, et al. ∙

research

∙ 03/05/2021

NF-GNN: Network Flow Graph Neural Networks for Malware Detection and Classification

Malicious software (malware) poses an increasing threat to the security ...

0 Julian Busch, et al. ∙

research

∙ 02/19/2021

Effective and Efficient Vote Attack on Capsule Networks

Standard Convolutional Neural Networks (CNNs) can be easily fooled by im...

0 Jindong Gu, et al. ∙

research

∙ 02/09/2021

Improving Visual Reasoning by Exploiting The Knowledge in Texts

This paper presents a new framework for training image-based classifiers...

0 Sahand Sharifzadeh, et al. ∙

research

∙ 01/13/2021

Temporal Knowledge Graph Forecasting with Neural ODE

Learning node representation on dynamically-evolving, multi-relational g...

0 Zifeng Ding, et al. ∙

research

∙ 12/31/2020

xERTE: Explainable Reasoning on Temporal Knowledge Graphs for Forecasting Future Links

Interest has been rising lately towards modeling time-evolving knowledge...

0 Zhen Han, et al. ∙

research

∙ 12/03/2020

Interpretable Graph Capsule Networks for Object Recognition

Capsule Networks, as alternatives to Convolutional Neural Networks, have...

0 Jindong Gu, et al. ∙

research

∙ 11/19/2020

Classification by Attention: Scene Graph Classification with Prior Knowledge

A main challenge in scene graph classification is that the appearance of...

0 Sahand Sharifzadeh, et al. ∙

research

∙ 11/08/2020

DyERNIE: Dynamic Evolution of Riemannian Manifold Embeddings for Temporal Knowledge Graph Completion

There has recently been increasing interest in learning representations ...

0 Zhen Han, et al. ∙

research

∙ 10/11/2020

Controllable Multi-Character Psychology-Oriented Story Generation

Story generation, which aims to generate a long and coherent story autom...

1 Feifei Xu, et al. ∙

research

∙ 09/19/2020

Introspective Learning by Distilling Knowledge from Online Self-explanation

In recent years, many explanation methods have been proposed to explain ...

0 Jindong Gu, et al. ∙

research

∙ 07/10/2020

Integrating Logical Rules Into Neural Multi-Hop Reasoning for Drug Repurposing

The graph structure of biomedical data differs from those in typical kno...

0 Yushan Liu, et al. ∙

research

∙ 07/02/2020

Learning Individualized Treatment Rules with Estimated Translated Inverse Propensity Score

Randomized controlled trials typically analyze the effectiveness of trea...

0 Zhiliang Wu, et al. ∙

research

∙ 07/02/2020

Scene Graph Reasoning for Visual Question Answering

Visual question answering is concerned with answering free-form question...

0 Marcel Hildebrandt, et al. ∙

research

∙ 04/13/2020

Relation Transformer Network

The identification of objects in an image, together with their mutual re...

1 Rajat Koner, et al. ∙

research

∙ 03/30/2020

Graph Hawkes Network for Reasoning on Temporal Knowledge Graphs

The Hawkes process has become a standard method for modeling self-exciti...

0 Zhen Han, et al. ∙

Volker Tresp

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