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09/21/2023
How Robust is Google's Bard to Adversarial Image Attacks?
Multimodal Large Language Models (MLLMs) that integrate text and other m...
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07/21/2023
CausE: Towards Causal Knowledge Graph Embedding
Knowledge graph embedding (KGE) focuses on representing the entities and...
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06/15/2023
PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs
While significant progress has been made on Physics-Informed Neural Netw...
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05/11/2023
Robust Detection of Lead-Lag Relationships in Lagged Multi-Factor Models
In multivariate time series systems, key insights can be obtained by dis...
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05/05/2023
How Segment Anything Model (SAM) Boost Medical Image Segmentation?
Due to the flexibility of prompting, foundation models have become the d...
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05/03/2023
Learning to Detect Novel and Fine-Grained Acoustic Sequences Using Pretrained Audio Representations
This work investigates pretrained audio representations for few shot Sou...
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04/23/2023
Modality-Aware Negative Sampling for Multi-modal Knowledge Graph Embedding
Negative sampling (NS) is widely used in knowledge graph embedding (KGE)...
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04/20/2023
Mastering Asymmetrical Multiplayer Game with Multi-Agent Asymmetric-Evolution Reinforcement Learning
Asymmetrical multiplayer (AMP) game is a popular game genre which involv...
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04/04/2023
Revisiting the Evaluation of Image Synthesis with GANs
A good metric, which promises a reliable comparison between solutions, i...
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03/30/2023
Understanding the Robustness of 3D Object Detection with Bird's-Eye-View Representations in Autonomous Driving
3D object detection is an essential perception task in autonomous drivin...
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03/16/2023
Rethinking Model Ensemble in Transfer-based Adversarial Attacks
Deep learning models are vulnerable to adversarial examples. Transfer-ba...
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03/16/2023
A System-Level Analysis of Conference Peer Review
The conference peer review process involves three constituencies with di...
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02/09/2023
Binarized Neural Machine Translation
The rapid scaling of language models is motivating research using low-bi...
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11/15/2022
Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications
Recent advances of data-driven machine learning have revolutionized fiel...
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10/22/2022
DANLI: Deliberative Agent for Following Natural Language Instructions
Recent years have seen an increasing amount of work on embodied AI agent...
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10/20/2022
Tele-Knowledge Pre-training for Fault Analysis
In this work, we share our experience on tele-knowledge pre-training for...
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09/15/2022
Knowledge Graph Completion with Pre-trained Multimodal Transformer and Twins Negative Sampling
Knowledge graphs (KGs) that modelings the world knowledge as structural ...
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08/01/2022
Towards R-learner of conditional average treatment effects with a continuous treatment: T-identification, estimation, and inference
The R-learner has been popular in causal inference as a flexible and eff...
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07/28/2022
Learning with Limited Annotations: A Survey on Deep Semi-Supervised Learning for Medical Image Segmentation
Medical image segmentation is a fundamental and critical step in many im...
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07/09/2022
Federated Learning with Quantum Secure Aggregation
This article illustrates a novel Quantum Secure Aggregation (QSA) scheme...
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03/19/2022
Perturbation Analysis of Randomized SVD and its Applications to High-dimensional Statistics
Randomized singular value decomposition (RSVD) is a class of computation...
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02/10/2022
Understanding Hyperdimensional Computing for Parallel Single-Pass Learning
Hyperdimensional computing (HDC) is an emerging learning paradigm that c...
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12/05/2021
Uncertainty-Guided Mutual Consistency Learning for Semi-Supervised Medical Image Segmentation
Medical image segmentation is a fundamental and critical step in many cl...
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11/30/2021
PokeBNN: A Binary Pursuit of Lightweight Accuracy
Top-1 ImageNet optimization promotes enormous networks that may be impra...
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10/28/2021
Bridge the Gap Between CV and NLP! A Gradient-based Textual Adversarial Attack Framework
Despite great success on many machine learning tasks, deep neural networ...
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09/30/2021
Adversarial Semantic Contour for Object Detection
Modern object detectors are vulnerable to adversarial examples, which br...
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09/29/2021
BulletTrain: Accelerating Robust Neural Network Training via Boundary Example Mining
Neural network robustness has become a central topic in machine learning...
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09/10/2021
Tiered Reasoning for Intuitive Physics: Toward Verifiable Commonsense Language Understanding
Large-scale, pre-trained language models (LMs) have achieved human-level...
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08/10/2021
U-Net-and-a-half: Convolutional network for biomedical image segmentation using multiple expert-driven annotations
Development of deep learning systems for biomedical segmentation often r...
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07/30/2021
Product1M: Towards Weakly Supervised Instance-Level Product Retrieval via Cross-modal Pretraining
Nowadays, customer's demands for E-commerce are more diversified, which ...
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06/08/2021
Interpretable and Low-Resource Entity Matching via Decoupling Feature Learning from Decision Making
Entity Matching (EM) aims at recognizing entity records that denote the ...
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06/07/2021
Hierarchical Task Learning from Language Instructions with Unified Transformers and Self-Monitoring
Despite recent progress, learning new tasks through language instruction...
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04/30/2021
Improving Conversational Recommendation System by Pretraining on Billions Scale of Knowledge Graph
Conversational Recommender Systems (CRSs) in E-commerce platforms aim to...
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04/14/2021
Is Multi-Hop Reasoning Really Explainable? Towards Benchmarking Reasoning Interpretability
Multi-hop reasoning has been widely studied in recent years to obtain mo...
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03/19/2021
Adversarial and Contrastive Variational Autoencoder for Sequential Recommendation
Sequential recommendation as an emerging topic has attracted increasing ...
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03/08/2021
Dual-Task Mutual Learning for Semi-Supervised Medical Image Segmentation
The success of deep learning methods in medical image segmentation tasks...
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01/18/2021
Consistency of random-walk based network embedding algorithms
Random-walk based network embedding algorithms like node2vec and DeepWal...
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12/31/2020
Exploiting Shared Knowledge from Non-COVID Lesions for Annotation-Efficient COVID-19 CT Lung Infection Segmentation
The novel Coronavirus disease (COVID-19) is a highly contagious virus an...
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12/28/2020
Cascaded Convolutional Neural Network for Automatic Myocardial Infarction Segmentation from Delayed-Enhancement Cardiac MRI
Automatic segmentation of myocardial contours and relevant areas like in...
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12/22/2020
FracBNN: Accurate and FPGA-Efficient Binary Neural Networks with Fractional Activations
Binary neural networks (BNNs) have 1-bit weights and activations. Such n...
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10/28/2020
AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem?
With the unprecedented developments in deep learning, automatic segmenta...
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10/13/2020
Exploring Efficient Volumetric Medical Image Segmentation Using 2.5D Method: An Empirical Study
With the unprecedented developments in deep learning, many methods are p...
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10/05/2020
Dynamic Anticipation and Completion for Multi-Hop Reasoning over Sparse Knowledge Graph
Multi-hop reasoning has been widely studied in recent years to seek an e...
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09/17/2020
A Probabilistic End-To-End Task-Oriented Dialog Model with Latent Belief States towards Semi-Supervised Learning
Structured belief states are crucial for user goal tracking and database...
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04/16/2020
Paraphrase Augmented Task-Oriented Dialog Generation
Neural generative models have achieved promising performance on dialog g...
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04/11/2020
Covariance Estimation for Matrix-valued Data
Covariance estimation for matrix-valued data has received an increasing ...
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03/26/2020
Prior Adaptive Semi-supervised Learning with Application to EHR Phenotyping
Electronic Health Records (EHR) data, a rich source for biomedical resea...
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02/17/2020
Precision Gating: Improving Neural Network Efficiency with Dynamic Dual-Precision Activations
We propose precision gating (PG), an end-to-end trainable dynamic dual-p...
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11/24/2019
Task-Oriented Dialog Systems that Consider Multiple Appropriate Responses under the Same Context
Conversations have an intrinsic one-to-many property, which means that m...
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10/25/2019
