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09/03/2023
BDC-Adapter: Brownian Distance Covariance for Better Vision-Language Reasoning
Large-scale pre-trained Vision-Language Models (VLMs), such as CLIP and ...
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08/31/2023
BenchTemp: A General Benchmark for Evaluating Temporal Graph Neural Networks
To handle graphs in which features or connectivities are evolving over t...
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08/22/2023
Unsupervised Prototype Adapter for Vision-Language Models
Recently, large-scale pre-trained vision-language models (e.g. CLIP and ...
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07/31/2023
AntGPT: Can Large Language Models Help Long-term Action Anticipation from Videos?
Can we better anticipate an actor's future actions (e.g. mix eggs) by kn...
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07/28/2023
Cross-Modal Concept Learning and Inference for Vision-Language Models
Large-scale pre-trained Vision-Language Models (VLMs), such as CLIP, est...
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07/26/2023
Skill-it! A Data-Driven Skills Framework for Understanding and Training Language Models
The quality of training data impacts the performance of pre-trained larg...
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07/07/2023
Goal-Conditioned Predictive Coding as an Implicit Planner for Offline Reinforcement Learning
Recent work has demonstrated the effectiveness of formulating decision m...
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07/06/2023
Improving Retrieval-Augmented Large Language Models via Data Importance Learning
Retrieval augmentation enables large language models to take advantage o...
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06/29/2023
MotionTrack: End-to-End Transformer-based Multi-Object Tracing with LiDAR-Camera Fusion
Multiple Object Tracking (MOT) is crucial to autonomous vehicle percepti...
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06/19/2023
COLE: A Column-based Learned Storage for Blockchain Systems
Blockchain systems suffer from high storage costs as every node needs to...
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05/11/2023
SalienDet: A Saliency-based Feature Enhancement Algorithm for Object Detection for Autonomous Driving
Object detection (OD) is crucial to autonomous driving. Unknown objects ...
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04/15/2023
Critical Sampling for Robust Evolution Operator Learning of Unknown Dynamical Systems
Given an unknown dynamical system, what is the minimum number of samples...
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03/20/2023
Self-Correctable and Adaptable Inference for Generalizable Human Pose Estimation
A central challenge in human pose estimation, as well as in many other m...
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03/13/2023
FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU
The high computational and memory requirements of large language model (...
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03/02/2023
Neuro-Modulated Hebbian Learning for Fully Test-Time Adaptation
Fully test-time adaptation aims to adapt the network model based on sequ...
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02/01/2023
Hierarchical Classification of Research Fields in the "Web of Science" Using Deep Learning
This paper presents a hierarchical classification system that automatica...
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12/16/2022
Convolution-enhanced Evolving Attention Networks
Attention-based neural networks, such as Transformers, have become ubiqu...
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11/16/2022
Holistic Evaluation of Language Models
Language models (LMs) are becoming the foundation for almost all major l...
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11/07/2022
EEG-Fest: Few-shot based Attention Network for Driver's Vigilance Estimation with EEG Signals
A lack of driver's vigilance is the main cause of most vehicle crashes. ...
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10/18/2022
Number-Adaptive Prototype Learning for 3D Point Cloud Semantic Segmentation
3D point cloud semantic segmentation is one of the fundamental tasks for...
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09/28/2022
Neural Methods for Logical Reasoning Over Knowledge Graphs
Reasoning is a fundamental problem for computers and deeply studied in A...
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09/12/2022
CARE: Certifiably Robust Learning with Reasoning via Variational Inference
Despite great recent advances achieved by deep neural networks (DNNs), t...
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08/17/2022
New primitives for bounded degradation in network service
Certain new ascendant data center workloads can absorb some degradation ...
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07/20/2022
Improving Privacy-Preserving Vertical Federated Learning by Efficient Communication with ADMM
Federated learning (FL) enables distributed devices to jointly train a s...
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07/20/2022
DataPerf: Benchmarks for Data-Centric AI Development
Machine learning (ML) research has generally focused on models, while th...
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07/05/2022
Keyword Extraction in Scientific Documents
The scientific publication output grows exponentially. Therefore, it is ...
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06/20/2022
GraphFramEx: Towards Systematic Evaluation of Explainability Methods for Graph Neural Networks
As one of the most popular machine learning models today, graph neural n...
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06/13/2022
Contrastive Learning for Unsupervised Domain Adaptation of Time Series
Unsupervised domain adaptation (UDA) aims at learning a machine learning...
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06/12/2022
Stochastic Gradient Descent without Full Data Shuffle
Stochastic gradient descent (SGD) is the cornerstone of modern machine l...
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06/08/2022
FedHPO-B: A Benchmark Suite for Federated Hyperparameter Optimization
Hyperparameter optimization (HPO) is crucial for machine learning algori...
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06/02/2022
Fine-tuning Language Models over Slow Networks using Activation Compression with Guarantees
Communication compression is a crucial technique for modern distributed ...
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06/02/2022
Decentralized Training of Foundation Models in Heterogeneous Environments
Training foundation models, such as GPT-3 and PaLM, can be extremely exp...
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05/25/2022
BRIGHT – Graph Neural Networks in Real-Time Fraud Detection
Detecting fraudulent transactions is an essential component to control r...
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04/22/2022
Modelling graph dynamics in fraud detection with "Attention"
At online retail platforms, detecting fraudulent accounts and transactio...
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04/06/2022
X-CAR: An Experimental Vehicle Platform for Connected Autonomy Research Powered by CARMA
Autonomous vehicles promise a future with a safer, cleaner, more efficie...
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04/04/2022
SHiFT: An Efficient, Flexible Search Engine for Transfer Learning
Transfer learning can be seen as a data- and compute-efficient alternati...
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03/04/2022
A Quality Index Metric and Method for Online Self-Assessment of Autonomous Vehicles Sensory Perception
Perception is critical to autonomous driving safety. Camera-based object...
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02/24/2022
Experiments as Code: A Concept for Reproducible, Auditable, Debuggable, Reusable, Scalable Experiments
A common concern in experimental research is the auditability and reprod...
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02/03/2022
Certifying Out-of-Domain Generalization for Blackbox Functions
Certifying the robustness of model performance under bounded data distri...
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01/05/2022
TableParser: Automatic Table Parsing with Weak Supervision from Spreadsheets
Tables have been an ever-existing structure to store data. There exist n...
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12/17/2021
Super-resolution reconstruction of cytoskeleton image based on A-net deep learning network
To date, live-cell imaging at the nanometer scale remains challenging. E...
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12/15/2021
Dynamic Human Evaluation for Relative Model Comparisons
Collecting human judgements is currently the most reliable evaluation me...
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09/19/2021
Towards Automatic Bias Detection in Knowledge Graphs
With the recent surge in social applications relying on knowledge graphs...
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09/18/2021
Efficient Hybrid Transformer: Learning Global-local Context for Urban Sence Segmentation
Semantic segmentation of fine-resolution urban scene images plays a vita...
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08/30/2021
Evaluating Bayes Error Estimators on Read-World Datasets with FeeBee
The Bayes error rate (BER) is a fundamental concept in machine learning ...
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08/14/2021
LinkTeller: Recovering Private Edges from Graph Neural Networks via Influence Analysis
Graph structured data have enabled several successful applications such ...
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06/21/2021
Attention-based Neural Network for Driving Environment Complexity Perception
Environment perception is crucial for autonomous vehicle (AV) safety. Mo...
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06/11/2021
Knowledge Enhanced Machine Learning Pipeline against Diverse Adversarial Attacks
Despite the great successes achieved by deep neural networks (DNNs), rec...
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05/17/2021
Towards Demystifying Serverless Machine Learning Training
The appeal of serverless (FaaS) has triggered a growing interest on how ...
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04/12/2021