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09/21/2023
QUEST: An Efficient Query Evaluation Scheme Towards Scan-Intensive Cross-Model Analysis
Modern data-driven applications require that databases support fast cros...
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09/15/2023
Self-Consistent Narrative Prompts on Abductive Natural Language Inference
Abduction has long been seen as crucial for narrative comprehension and ...
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09/14/2023
A Survey of Graph Pre-processing Methods: From Algorithmic to Hardware Perspectives
Graph-related applications have experienced significant growth in academ...
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09/02/2023
Big-model Driven Few-shot Continual Learning
Few-shot continual learning (FSCL) has attracted intensive attention and...
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08/25/2023
Federated Linear Bandit Learning via Over-the-Air Computation
In this paper, we investigate federated contextual linear bandit learnin...
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08/17/2023
Edit Temporal-Consistent Videos with Image Diffusion Model
Large-scale text-to-image (T2I) diffusion models have been extended for ...
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08/16/2023
Dual-Stream Diffusion Net for Text-to-Video Generation
With the emerging diffusion models, recently, text-to-video generation h...
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08/15/2023
Multi-scale Promoted Self-adjusting Correlation Learning for Facial Action Unit Detection
Facial Action Unit (AU) detection is a crucial task in affective computi...
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08/09/2023
CasCIFF: A Cross-Domain Information Fusion Framework Tailored for Cascade Prediction in Social Networks
Existing approaches for information cascade prediction fall into three m...
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08/09/2023
Objects do not disappear: Video object detection by single-frame object location anticipation
Objects in videos are typically characterized by continuous smooth motio...
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08/04/2023
Scalabale Path Level Thermal History Simulation of PBF process validated by Melt Pool Images
In this paper we outline the development of a scalable PBF thermal histo...
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08/04/2023
MSECNet: Accurate and Robust Normal Estimation for 3D Point Clouds by Multi-Scale Edge Conditioning
Estimating surface normals from 3D point clouds is critical for various ...
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07/10/2023
Automated Detection of Gait Events and Travel Distance Using Waist-worn Accelerometers Across a Typical Range of Walking and Running Speeds
Background: Estimation of temporospatial clinical features of gait (CFs)...
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07/07/2023
Exploring and Characterizing Large Language Models For Embedded System Development and Debugging
Large language models (LLMs) have shown remarkable abilities to generate...
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06/30/2023
Class-Incremental Learning using Diffusion Model for Distillation and Replay
Class-incremental learning aims to learn new classes in an incremental f...
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06/04/2023
rPPG-MAE: Self-supervised Pre-training with Masked Autoencoders for Remote Physiological Measurement
Remote photoplethysmography (rPPG) is an important technique for perceiv...
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06/02/2023
A Simple yet Effective Self-Debiasing Framework for Transformer Models
Current Transformer-based natural language understanding (NLU) models he...
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05/28/2023
Optimizing Airbnb Search Journey with Multi-task Learning
At Airbnb, an online marketplace for stays and experiences, guests often...
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05/25/2023
Sample Efficient Reinforcement Learning in Mixed Systems through Augmented Samples and Its Applications to Queueing Networks
This paper considers a class of reinforcement learning problems, which i...
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05/24/2023
Large Language Models are Few-Shot Health Learners
Large language models (LLMs) can capture rich representations of concept...
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05/19/2023
BOLT: Fast Energy-based Controlled Text Generation with Tunable Biases
Energy-based models (EBMs) have gained popularity for controlled text ge...
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05/06/2023
Adam-family Methods for Nonsmooth Optimization with Convergence Guarantees
In this paper, we present a comprehensive study on the convergence prope...
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05/05/2023
Walk4Me: Telehealth Community Mobility Assessment, An Automated System for Early Diagnosis and Disease Progression
We introduce Walk4Me, a telehealth community mobility assessment system ...
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04/28/2023
Recognizable Information Bottleneck
Information Bottlenecks (IBs) learn representations that generalize to u...
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04/19/2023
Sensitivity estimation for differentially private query processing
Differential privacy has become a popular privacy-preserving method in d...
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03/24/2023
PIAT: Parameter Interpolation based Adversarial Training for Image Classification
Adversarial training has been demonstrated to be the most effective appr...
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03/21/2023
Motion Matters: Neural Motion Transfer for Better Camera Physiological Sensing
Machine learning models for camera-based physiological measurement can h...
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03/21/2023
BigSmall: Efficient Multi-Task Learning for Disparate Spatial and Temporal Physiological Measurements
Understanding of human visual perception has historically inspired the d...
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03/13/2023
Unsupervised HDR Image and Video Tone Mapping via Contrastive Learning
Capturing high dynamic range (HDR) images (videos) is attractive because...
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03/10/2023
DAVIS-Ag: A Synthetic Plant Dataset for Developing Domain-Inspired Active Vision in Agricultural Robots
In agricultural environments, viewpoint planning can be a critical funct...
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02/20/2023
Reconstruction of Sequences Distorted by Two Insertions
Reconstruction codes are generalizations of error-correcting codes that ...
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02/11/2023
Rethinking Vision Transformer and Masked Autoencoder in Multimodal Face Anti-Spoofing
Recently, vision transformer (ViT) based multimodal learning methods hav...
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02/11/2023
Cross-domain Random Pre-training with Prototypes for Reinforcement Learning
Task-agnostic cross-domain pre-training shows great potential in image-b...
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02/08/2023
MMPD: Multi-Domain Mobile Video Physiology Dataset
Remote photoplethysmography (rPPG) is an attractive method for noninvasi...
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02/05/2023
Online Nonstochastic Control with Adversarial and Static Constraints
This paper studies online nonstochastic control problems with adversaria...
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12/13/2022
Scalable and Sample Efficient Distributed Policy Gradient Algorithms in Multi-Agent Networked Systems
This paper studies a class of multi-agent reinforcement learning (MARL) ...
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12/09/2022
Validating quantum-supremacy experiments with exact and fast tensor network contraction
The quantum circuits that declare quantum supremacy, such as Google Syca...
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12/06/2022
On the Discredibility of Membership Inference Attacks
With the wide-spread application of machine learning models, it has beco...
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12/06/2022
CDOpt: A Python Package for a Class of Riemannian Optimization
Optimization over the embedded submanifold defined by constraints c(x) =...
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12/01/2022
Efficient stereo matching on embedded GPUs with zero-means cross correlation
Mobile stereo-matching systems have become an important part of many app...
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11/27/2022
Rectified Pessimistic-Optimistic Learning for Stochastic Continuum-armed Bandit with Constraints
This paper studies the problem of stochastic continuum-armed bandit with...
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11/15/2022
Quantifying the Impact of Label Noise on Federated Learning
Federated Learning (FL) is a distributed machine learning paradigm where...
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11/11/2022
Getting the Most out of Simile Recognition
Simile recognition involves two subtasks: simile sentence classification...
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11/07/2022
Complex Hyperbolic Knowledge Graph Embeddings with Fast Fourier Transform
The choice of geometric space for knowledge graph (KG) embeddings can ha...
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11/04/2022
GLOBEM Dataset: Multi-Year Datasets for Longitudinal Human Behavior Modeling Generalization
Recent research has demonstrated the capability of behavior signals capt...
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10/24/2022
Causal Explanation for Reinforcement Learning: Quantifying State and Temporal Importance
Explainability plays an increasingly important role in machine learning....
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10/24/2022
Opportunistic Episodic Reinforcement Learning
In this paper, we propose and study opportunistic reinforcement learning...
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10/20/2022
Self-Supervised Learning via Maximum Entropy Coding
A mainstream type of current self-supervised learning methods pursues a ...
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10/19/2022
GraphCSPN: Geometry-Aware Depth Completion via Dynamic GCNs
Image guided depth completion aims to recover per-pixel dense depth maps...
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10/14/2022