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08/29/2023
Incorporating Neuro-Inspired Adaptability for Continual Learning in Artificial Intelligence
Continual learning aims to empower artificial intelligence (AI) with str...
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08/20/2023
Privileged Anatomical and Protocol Discrimination in Trackerless 3D Ultrasound Reconstruction
Three-dimensional (3D) freehand ultrasound (US) reconstruction without u...
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08/03/2023
Hard Adversarial Example Mining for Improving Robust Fairness
Adversarial training (AT) is widely considered the state-of-the-art tech...
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07/10/2023
Counterfactual Explanation for Fairness in Recommendation
Fairness-aware recommendation eliminates discrimination issues to build ...
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07/10/2023
Causal Neural Graph Collaborative Filtering
Graph collaborative filtering (GCF) has gained considerable attention in...
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07/08/2023
BPNet: Bézier Primitive Segmentation on 3D Point Clouds
This paper proposes BPNet, a novel end-to-end deep learning framework to...
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06/20/2023
Exploring Antitrust and Platform Power in Generative AI
The concentration of power in a few digital technology companies has bec...
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05/10/2023
Quantization Aware Attack: Enhancing the Transferability of Adversarial Attacks across Target Models with Different Quantization Bitwidths
Quantized Neural Networks (QNNs) receive increasing attention in resourc...
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04/04/2023
Attribute-Consistent Knowledge Graph Representation Learning for Multi-Modal Entity Alignment
The multi-modal entity alignment (MMEA) aims to find all equivalent enti...
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03/26/2023
CeFlow: A Robust and Efficient Counterfactual Explanation Framework for Tabular Data using Normalizing Flows
Counterfactual explanation is a form of interpretable machine learning t...
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03/26/2023
Achieving Counterfactual Fairness with Imperfect Structural Causal Model
Counterfactual fairness alleviates the discrimination between the model ...
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03/12/2023
Spatial Correspondence between Graph Neural Network-Segmented Images
Graph neural networks (GNNs) have been proposed for medical image segmen...
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03/07/2023
End-to-end Face-swapping via Adaptive Latent Representation Learning
Taking full advantage of the excellent performance of StyleGAN, style tr...
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02/18/2023
A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT
The Pretrained Foundation Models (PFMs) are regarded as the foundation f...
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02/16/2023
Learning to Initialize: Can Meta Learning Improve Cross-task Generalization in Prompt Tuning?
Prompt tuning (PT) which only tunes the embeddings of an additional sequ...
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02/10/2023
A Comprehensive Survey on Automatic Knowledge Graph Construction
Automatic knowledge graph construction aims to manufacture structured hu...
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02/07/2023
Hebbian and Gradient-based Plasticity Enables Robust Memory and Rapid Learning in RNNs
Rapidly learning from ongoing experiences and remembering past events wi...
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12/29/2022
Transactions Make Debugging Easy
We propose TROD, a novel transaction-oriented framework for debugging mo...
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11/24/2022
Identifying discreditable firms in a large-scale ownership network
Violations of laws and regulations about food safety, production safety,...
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11/15/2022
Type Information Utilized Event Detection via Multi-Channel GNNs in Electrical Power Systems
Event detection in power systems aims to identify triggers and event typ...
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11/09/2022
Trackerless freehand ultrasound with sequence modelling and auxiliary transformation over past and future frames
Three-dimensional (3D) freehand ultrasound (US) reconstruction without a...
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11/08/2022
Alleviating Sparsity of Open Knowledge Graphs with Ternary Contrastive Learning
Sparsity of formal knowledge and roughness of non-ontological constructi...
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08/27/2022
Apiary: A DBMS-Backed Transactional Function-as-a-Service Framework
Developers are increasingly using function-as-a-service (FaaS) platforms...
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08/23/2022
FedMCSA: Personalized Federated Learning via Model Components Self-Attention
Federated learning (FL) facilitates multiple clients to jointly train a ...
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08/17/2022
Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing
Topology-imbalance is a graph-specific imbalance problem caused by the u...
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08/10/2022
Machine Learning with DBOS
We recently proposed a new cluster operating system stack, DBOS, centere...
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07/24/2022
Learning Generalizable Light Field Networks from Few Images
We explore a new strategy for few-shot novel view synthesis based on a n...
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07/14/2022
Reinforced Path Reasoning for Counterfactual Explainable Recommendation
Counterfactual explanations interpret the recommendation mechanism via e...
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07/13/2022
CoSCL: Cooperation of Small Continual Learners is Stronger than a Big One
Continual learning requires incremental compatibility with a sequence of...
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07/01/2022
Generating Counterfactual Hard Negative Samples for Graph Contrastive Learning
Graph contrastive learning has emerged as a powerful tool for unsupervis...
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04/02/2022
Forestry digital twin with machine learning in Landsat 7 data
Modeling forests using historical data allows for more accurately evolut...
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03/23/2022
New Distinguishers for Negation-Limited Weak Pseudorandom Functions
We show how to distinguish circuits with log k negations (a.k.a k-monoto...
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03/04/2022
Universal Segmentation of 33 Anatomies
In the paper, we present an approach for learning a single model that un...
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11/21/2021
DuDoTrans: Dual-Domain Transformer Provides More Attention for Sinogram Restoration in Sparse-View CT Reconstruction
While Computed Tomography (CT) reconstruction from X-ray sinograms is ne...
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11/15/2021
Authentication of optical physical unclonable functions based on single-pixel detection
Physical unclonable function (PUF) has been proposed as a promising and ...
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11/12/2021
Moser-Tardos Algorithm: Beyond Shearer's Bound
In a seminal paper (Moser and Tardos, JACM'10), Moser and Tardos develop...
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10/23/2021
AFEC: Active Forgetting of Negative Transfer in Continual Learning
Continual learning aims to learn a sequence of tasks from dynamic data d...
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09/24/2021
How Does Knowledge Graph Embedding Extrapolate to Unseen Data: a Semantic Evidence View
Knowledge Graph Embedding (KGE) aims to learn representations for entiti...
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09/08/2021
Bionic Optical Physical Unclonable Functions for Authentication and Encryption
Information security is of great importance for modern society with all ...
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08/23/2021
Event Extraction by Associating Event Types and Argument Roles
Event extraction (EE), which acquires structural event knowledge from te...
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08/08/2021
AdaAttN: Revisit Attention Mechanism in Arbitrary Neural Style Transfer
Fast arbitrary neural style transfer has attracted widespread attention ...
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07/05/2021
Deep Learning Schema-based Event Extraction: Literature Review and Current Trends
Schema-based event extraction is a critical technique to apprehend the e...
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07/04/2021
CasEE: A Joint Learning Framework with Cascade Decoding for Overlapping Event Extraction
Event extraction (EE) is a crucial information extraction task that aims...
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06/25/2021
MARS: A second-order reduction algorithm for high-dimensional sparse precision matrices estimation
Estimation of the precision matrix (or inverse covariance matrix) is of ...
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06/23/2021
Reinforcement Learning-based Dialogue Guided Event Extraction to Exploit Argument Relations
Event extraction is a fundamental task for natural language processing. ...
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05/31/2021
CTSpine1K: A Large-Scale Dataset for Spinal Vertebrae Segmentation in Computed Tomography
Spine-related diseases have high morbidity and cause a huge burden of so...
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05/28/2021
Stochastic Intervention for Causal Inference via Reinforcement Learning
Causal inference methods are widely applied in various decision-making d...
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05/27/2021
Stochastic Intervention for Causal Effect Estimation
Causal inference methods are widely applied in various decision-making d...
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05/17/2021
Be Causal: De-biasing Social Network Confounding in Recommendation
In recommendation systems, the existence of the missing-not-at-random (M...
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05/03/2021
