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Found 20 papers, 4 papers with code
PRECTR: A Synergistic Framework for Integrating Personalized Search Relevance Matching and CTR Prediction
Specifically, based on the conditional probability fusion mechanism, PRECTR integrates the CTR prediction and search relevance matching into one framework to enhance the interaction and consistency of the two modules.
KunServe: Elastic and Efficient Large Language Model Serving with Parameter-centric Memory Management
The stateful nature of large language model (LLM) servingcan easily throttle precious GPU memory under load burstor long-generation requests like chain-of-thought reasoning, causing latency spikes due to queuing incoming requests.
ProMoE: Fast MoE-based LLM Serving using Proactive Caching
The promising applications of large language models are often limited by the constrained GPU memory capacity available on edge devices.
Improving Estimation of Portfolio Risk Using New Statistical Factors
Searching for new effective risk factors on stock returns is an important research topic in asset pricing.
Deep Learning of Dynamic Systems using System Identification Toolbox(TM)
MATLAB(R) releases over the last 3 years have witnessed a continuing growth in the dynamic modeling capabilities offered by the System Identification Toolbox(TM).
Characterizing the Dilemma of Performance and Index Size in Billion-Scale Vector Search and Breaking It with Second-Tier Memory
In this paper, we are the first to characterize the trade-off of performance and index size in existing SSD-based graph and cluster indexes: to improve throughput by 5. 7$\times$ and 1. 7$\times$, these indexes have to pay a 5. 8$\times$ storage amplification and 7. 7$\times$ with respect to the dataset size, respectively.
Cross-target Stance Detection by Exploiting Target Analytical Perspectives
In this paper, we propose a Multi-Perspective Prompt-Tuning (MPPT) model for CTSD that uses the analysis perspective as a bridge to transfer knowledge.
SPU-PMD: Self-Supervised Point Cloud Upsampling via Progressive Mesh Deformation
Motivated by this we present SPU-PMD a self-supervised topological mesh deformation network for 3D densification.
LSCD: A Large-Scale Screen Content Dataset for Video Compression
Multimedia compression allows us to watch videos, see pictures and hear sounds within a limited bandwidth, which helps the flourish of the internet.
Improved iterative methods for solving risk parity portfolio
Risk parity, also known as equal risk contribution, has recently gained increasing attention as a portfolio allocation method.
Independent Reinforcement Learning for Weakly Cooperative Multiagent Traffic Control Problem
To this, we model the traffic control problem as a partially observable weak cooperative traffic model (PO-WCTM) to optimize the overall traffic situation of a group of intersections.
Congruences modulo powers of 5 for the rank parity function
It is well known that Ramanujan conjectured congruences modulo powers of 5, 7 and and 11 for the partition function.
Number Theory Combinatorics 05A17, 11F30, 11F37, 11P82, 11P83
Distributed Learning with Low Communication Cost via Gradient Boosting Untrained Neural Network
For high-dimensional data, there are huge communication costs for distributed GBDT because the communication volume of GBDT is related to the number of features.
Multi-Task Learning Enhanced Single Image De-Raining
Rain removal in images is an important task in computer vision filed and attracting attentions of more and more people.
Hybrid Kronecker Product Decomposition and Approximation
As an effective dimension reduction tool, singular value decomposition is often used to analyze high dimensional matrices, which are traditionally assumed to have a low rank matrix approximation.
KoPA: Automated Kronecker Product Approximation
Specifically, we propose to approximate a given matrix by the sum of a few Kronecker products of matrices, which we refer to as the Kronecker product approximation (KoPA).
Land Cover Change Detection via Semantic Segmentation
This paper presents a change detection method that identifies land cover changes from aerial imagery, using semantic segmentation, a machine learning approach.
Matrix Completion using Kronecker Product Approximation
A matrix completion problem is to recover the missing entries in a partially observed matrix.
Bi-GANs-ST for Perceptual Image Super-resolution
In this paper, motivated by [1], we aim to generate a high-quality SR result which balances between the two indices, i. e., the perception index and root-mean-square error (RMSE).
SCC-rFMQ Learning in Cooperative Markov Games with Continuous Actions
Although many reinforcement learning methods have been proposed for learning the optimal solutions in single-agent continuous-action domains, multiagent coordination domains with continuous actions have received relatively few investigations.
