Similarity Learning

Similarity learning aims to develop algorithms that effectively quantify the resemblance between data points, enabling applications like improved recommendation systems, efficient information retrieval, and accurate object recognition. Current research emphasizes the development of robust similarity metrics, often leveraging deep neural networks (including Siamese networks, convolutional neural networks, and transformers) and incorporating techniques like contrastive learning and metric learning to enhance performance in diverse settings, including those with noisy or high-dimensional data. These advancements have significant implications for various fields, improving the accuracy and efficiency of tasks ranging from medical image analysis and video retrieval to personalized recommendations and combat identification.

Papers

October 14, 2024

Advancing Academic Knowledge Retrieval via LLM-enhanced Representation Similarity Fusion
Wei Dai, Peng Fu, Chunjing Gan
Challenge Task Retrieval Model State of the Art LLM Knowledge Retrieval Similarity Learning LLM Representation

October 4, 2024

Clustering Alzheimer's Disease Subtypes via Similarity Learning and Graph Diffusion
Tianyi Wei, Shu Yang, Davoud Ataee Tarzanagh, Jingxuan Bao, Jia Xu, Patryk Orzechowski, Joost B. Wagenaar, Qi Long, Li Shen
Unsupervised Clustering Similarity Learning Graph Diffusion

September 26, 2024

Similarity Learning with neural networks
Gabriel Sanfins, Fabio Ramos, Danilo Naiff
Neural Network Fluid Dynamic Similarity Learning Neural Network Algorithm

August 3, 2024

Scene-wise Adaptive Network for Dynamic Cold-start Scenes Optimization in CTR Prediction
Wenhao Li, Jie Zhou, Chuan Luo, Chao Tang, Kun Zhang, Shixiong Zhao
Similarity Learning CTR Prediction Cold Start Recommendation Scene Optimization Multi Scenario Recommendation

July 25, 2024

Nested replicator dynamics, nested logit choice, and similarity-based learning
Panayotis Mertikopoulos, William H. Sandholm
High Similarity Similarity Learning Replicator Dynamic Logit Vector

July 22, 2024

Efficient Retrieval with Learned Similarities
Bailu Ding, Jiaqi Zhai
Similarity Learning State of the Art Retrieval Efficient Retrieval Top K Item Based Collaborative Filtering

June 24, 2024

SimClone: Detecting Tabular Data Clones using Value Similarity
Xu Yang, Gopi Krishnan Rajbahadur, Dayi Lin, Shaowei Wang, Zhen Ming, Jiang
Tabular Datasets Similarity Learning Clone Detection Data Analysis Replication

May 30, 2024

Revisiting CNNs for Trajectory Similarity Learning
Zhihao Chang, Linzhu Yu, Huan Li, Sai Wu, Gang Chen, Dongxiang Zhang
CNN Model Trajectory Data Similarity Learning Trajectory Similarity

May 10, 2024

Generalization analysis with deep ReLU networks for metric and similarity learning
Junyu Zhou, Puyu Wang, Ding-Xuan Zhou
Similarity Learning Deep ReLU Network Structured Neural Network

April 16, 2024

Causal Effect Estimation Using Random Hyperplane Tessellations
Abhishek Dalvi, Neil Ashtekar, Vasant Honavar
Causal Effect Causal Effect Estimation Similarity Learning Random Subspace

February 26, 2024

Intelligent Known and Novel Aircraft Recognition -- A Shift from Classification to Similarity Learning for Combat Identification
Ahmad Saeed, Haasha Bin Atif, Usman Habib, Mohsin Bilal
Classification Code Similarity Learning Human Identification Fight Detection Aircraft Recognition

February 19, 2024

Deep Structural Knowledge Exploitation and Synergy for Estimating Node Importance Value on Heterogeneous Information Networks
Yankai Chen, Yixiang Fang, Qiongyan Wang, Xin Cao, Irwin King
Node Representation Model Synergy Similarity Learning Heterogeneous Information Network Structural Knowledge Node Prediction Node Importance Node Importance Estimation

November 15, 2023

Data Similarity is Not Enough to Explain Language Model Performance
Gregory Yauney, Emily Reif, David Mimno
Large Language Model Multilingual Dataset Similarity Learning Data Similarity Large Scale Comparison

September 20, 2023

Learning Segment Similarity and Alignment in Large-Scale Content Based Video Retrieval
Chen Jiang, Kaiming Huang, Sifeng He, Xudong Yang, Wei Zhang, Xiaobo Zhang, Yuan Cheng, Lei Yang, Qing Wang, Furong Xu, Tan Pan, Wei Chu
Alignment Problem Video Retrieval Similarity Learning

August 30, 2023

CorrEmbed: Evaluating Pre-trained Model Image Similarity Efficacy with a Novel Metric
Karl Audun Kagnes Borgersen, Morten Goodwin, Jivitesh Sharma, Tobias Aasmoe, Mari Leonhardsen, Gro Herredsvela Rørvik
High Similarity Image Retrieval Similarity Learning Novel Metric Image Embeddings

August 26, 2023

Central Similarity Multi-View Hashing for Multimedia Retrieval
Jian Zhu, Wen Cheng, Yu Cui, Chang Tang, Yuyang Dai, Yong Li, Lingfang Zeng
High Similarity Similarity Learning Multimedia Retrieval Local Similarity

August 14, 2023

Quantifying Outlierness of Funds from their Categories using Supervised Similarity
Dhruv Desai, Ashmita Dhiman, Tushar Sharma, Deepika Sharma, Dhagash Mehta, Stefano Pasquali
Category Shift Similarity Learning Portfolio Management Mutual Fund Outlier Dimension

July 2, 2023

Automatic MILP Solver Configuration By Learning Problem Similarities
Abdelrahman Hosny, Sherief Reda
Similarity Learning Real World Optimization Problem Solver Configuration Mixed Integer Linear Program

June 5, 2023

Learning Similarity among Users for Personalized Session-Based Recommendation from hierarchical structure of User-Session-Item
Jisoo Cha, Haemin Jeong, Wooju Kim
Personalized Subject Session Based Recommendation Hierarchical Structure Similarity Learning Session Based User Similarity Session Context

May 23, 2023

Grounding and Distinguishing Conceptual Vocabulary Through Similarity Learning in Embodied Simulations
Sadaf Ghaffari, Nikhil Krishnaswamy
Analogical Reasoning Grounding Network Similarity Learning Larger Vocabulary Word Vector Binary Token

Similarity Learning

Papers

Advancing Academic Knowledge Retrieval via LLM-enhanced Representation Similarity Fusion

Clustering Alzheimer's Disease Subtypes via Similarity Learning and Graph Diffusion

Similarity Learning with neural networks

Scene-wise Adaptive Network for Dynamic Cold-start Scenes Optimization in CTR Prediction

Nested replicator dynamics, nested logit choice, and similarity-based learning

Efficient Retrieval with Learned Similarities

SimClone: Detecting Tabular Data Clones using Value Similarity

Revisiting CNNs for Trajectory Similarity Learning

Generalization analysis with deep ReLU networks for metric and similarity learning

Causal Effect Estimation Using Random Hyperplane Tessellations

Intelligent Known and Novel Aircraft Recognition -- A Shift from Classification to Similarity Learning for Combat Identification

Deep Structural Knowledge Exploitation and Synergy for Estimating Node Importance Value on Heterogeneous Information Networks

Data Similarity is Not Enough to Explain Language Model Performance

Learning Segment Similarity and Alignment in Large-Scale Content Based Video Retrieval

CorrEmbed: Evaluating Pre-trained Model Image Similarity Efficacy with a Novel Metric

Central Similarity Multi-View Hashing for Multimedia Retrieval

Quantifying Outlierness of Funds from their Categories using Supervised Similarity

Automatic MILP Solver Configuration By Learning Problem Similarities

Learning Similarity among Users for Personalized Session-Based Recommendation from hierarchical structure of User-Session-Item

Grounding and Distinguishing Conceptual Vocabulary Through Similarity Learning in Embodied Simulations