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09/18/2023
Adaptive Liquidity Provision in Uniswap V3 with Deep Reinforcement Learning
Decentralized exchanges (DEXs) are a cornerstone of decentralized financ...
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09/05/2023
RDGSL: Dynamic Graph Representation Learning with Structure Learning
Temporal Graph Networks (TGNs) have shown remarkable performance in lear...
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09/01/2023
OpenIns3D: Snap and Lookup for 3D Open-vocabulary Instance Segmentation
Current 3D open-vocabulary scene understanding methods mostly utilize we...
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08/27/2023
SPEED: Streaming Partition and Parallel Acceleration for Temporal Interaction Graph Embedding
Temporal Interaction Graphs (TIGs) are widely employed to model intricat...
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08/22/2023
Understanding Hessian Alignment for Domain Generalization
Out-of-distribution (OOD) generalization is a critical ability for deep ...
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08/22/2023
SwinFace: A Multi-task Transformer for Face Recognition, Expression Recognition, Age Estimation and Attribute Estimation
In recent years, vision transformers have been introduced into face reco...
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08/18/2023
Normalization Is All You Need: Understanding Layer-Normalized Federated Learning under Extreme Label Shift
Layer normalization (LN) is a widely adopted deep learning technique esp...
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08/08/2023
Teacher-Student Architecture for Knowledge Distillation: A Survey
Although Deep neural networks (DNNs) have shown a strong capacity to sol...
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08/02/2023
Flexible Coherent Optical Access: Architectures, Algorithms, and Demonstrations
To cope with the explosive bandwidth demand, significant progress has be...
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07/31/2023
Convolutional Occupancy Models for Dense Packing of Complex, Novel Objects
Dense packing in pick-and-place systems is an important feature in many ...
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07/28/2023
RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
We study how vision-language models trained on Internet-scale data can b...
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07/08/2023
Is ChatGPT a Good Personality Recognizer? A Preliminary Study
In recent years, personality has been regarded as a valuable personal fa...
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07/08/2023
Active Learning in Physics: From 101, to Progress, and Perspective
Active Learning (AL) is a family of machine learning (ML) algorithms tha...
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06/21/2023
Memory-Query Tradeoffs for Randomized Convex Optimization
We show that any randomized first-order algorithm which minimizes a d-di...
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06/19/2023
Performance of data-driven inner speech decoding with same-task EEG-fMRI data fusion and bimodal models
Decoding inner speech from the brain signal via hybridisation of fMRI an...
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06/18/2023
2D-Shapley: A Framework for Fragmented Data Valuation
Data valuation – quantifying the contribution of individual data sources...
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06/16/2023
Magnetic Resonance Spectroscopy Quantification Aided by Deep Estimations of Imperfection Factors and Overall Macromolecular Signal
Magnetic Resonance Spectroscopy (MRS) is an important non-invasive techn...
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05/26/2023
CONA: A novel CONtext-Aware instruction paradigm for communication using large language model
We introduce CONA, a novel context-aware instruction paradigm for effect...
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05/25/2023
Smoothed Complexity of SWAP in Local Graph Partitioning
We give the first quasipolynomial upper bound ϕ n^polylog(n) for the smo...
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05/15/2023
Continual Multimodal Knowledge Graph Construction
Multimodal Knowledge Graph Construction (MKGC) involves creating structu...
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05/10/2023
Self-Supervised Instance Segmentation by Grasping
Instance segmentation is a fundamental skill for many robotic applicatio...
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05/03/2023
Distributional Instance Segmentation: Modeling Uncertainty and High Confidence Predictions with Latent-MaskRCNN
Object recognition and instance segmentation are fundamental skills in a...
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04/21/2023
Transformer-based models and hardware acceleration analysis in autonomous driving: A survey
Transformer architectures have exhibited promising performance in variou...
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04/20/2023
New Lower Bounds for Adaptive Tolerant Junta Testing
We prove a k^-Ω(log(ε_2 - ε_1)) lower bound for adaptively testing wheth...
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04/15/2023
EEGSN: Towards Efficient Low-latency Decoding of EEG with Graph Spiking Neural Networks
A vast majority of spiking neural networks (SNNs) are trained based on i...
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04/14/2023
The Future of ChatGPT-enabled Labor Market: A Preliminary Study
As a phenomenal large language model, ChatGPT has achieved unparalleled ...
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04/10/2023
Head-tail Loss: A simple function for Oriented Object Detection and Anchor-free models
This paper presents a new loss function for the prediction of oriented b...
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04/06/2023
FengWu: Pushing the Skillful Global Medium-range Weather Forecast beyond 10 Days Lead
We present FengWu, an advanced data-driven global medium-range weather f...
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03/29/2023
Complexity of Equilibria in First-Price Auctions under General Tie-Breaking Rules
We study the complexity of finding an approximate (pure) Bayesian Nash e...
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03/24/2023
CoLa-Diff: Conditional Latent Diffusion Model for Multi-Modal MRI Synthesis
MRI synthesis promises to mitigate the challenge of missing MRI modality...
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03/24/2023
DisC-Diff: Disentangled Conditional Diffusion Model for Multi-Contrast MRI Super-Resolution
Multi-contrast magnetic resonance imaging (MRI) is the most common manag...
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03/21/2023
Detecting Everything in the Open World: Towards Universal Object Detection
In this paper, we formally address universal object detection, which aim...
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03/20/2023
Open-vocabulary Panoptic Segmentation with Embedding Modulation
Open-vocabulary image segmentation is attracting increasing attention du...
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03/20/2023
ScribbleSeg: Scribble-based Interactive Image Segmentation
Interactive segmentation enables users to extract masks by providing sim...
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03/14/2023
High-Dimensional Dynamic Pricing under Non-Stationarity: Learning and Earning with Change-Point Detection
We consider a high-dimensional dynamic pricing problem under non-station...
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03/09/2023
Knowledge-augmented Few-shot Visual Relation Detection
Visual Relation Detection (VRD) aims to detect relationships between obj...
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02/24/2023
Statistical Inference with Stochastic Gradient Methods under φ-mixing Data
Stochastic gradient descent (SGD) is a scalable and memory-efficient opt...
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02/17/2023
Uniformity Testing over Hypergrids with Subcube Conditioning
We give an algorithm for testing uniformity of distributions supported o...
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02/17/2023
Vision, Deduction and Alignment: An Empirical Study on Multi-modal Knowledge Graph Alignment
Entity alignment (EA) for knowledge graphs (KGs) plays a critical role i...
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02/12/2023
3D Molecular Generation via Virtual Dynamics
Structure-based drug design, i.e., finding molecules with high affinitie...
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01/28/2023
Combinatorial Inference on the Optimal Assortment in Multinomial Logit Models
Assortment optimization has received active explorations in the past few...
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01/26/2023
A Framework of Transaction Packaging in High-throughput Blockchains
We develop a model of coordination and allocation of decentralized multi...
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01/17/2023
Subset Sum in Time 2^n/2 / poly(n)
A major goal in the area of exact exponential algorithms is to give an a...
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12/30/2022
Online Statistical Inference for Contextual Bandits via Stochastic Gradient Descent
With the fast development of big data, it has been easier than before to...
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12/24/2022
Hyperspherical Quantization: Toward Smaller and More Accurate Models
Model quantization enables the deployment of deep neural networks under ...
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12/19/2022
FreeEnricher: Enriching Face Landmarks without Additional Cost
Recent years have witnessed significant growth of face alignment. Though...
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12/13/2022
Streaming Euclidean MST to a Constant Factor
We study streaming algorithms for the fundamental geometric problem of c...
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12/03/2022
Interpretable Node Representation with Attribute Decoding
Variational Graph Autoencoders (VGAEs) are powerful models for unsupervi...
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11/22/2022
Improving Robust Generalization by Direct PAC-Bayesian Bound Minimization
Recent research in robust optimization has shown an overfitting-like phe...
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11/20/2022