Dependency Aware Incident

Dependency-aware approaches aim to improve various systems by explicitly modeling the relationships between different components or data points, moving beyond the assumption of independence. Current research focuses on optimizing model training by incorporating dependency information, for example, through graph-based methods and linear programming, to improve performance in tasks such as incident linking, multi-modal time series analysis, and language model pretraining. This focus on dependencies is proving valuable across diverse fields, leading to more efficient algorithms and improved accuracy in areas like cloud system management, recommendation systems, and natural language processing.

Papers

October 23, 2024

Generalizations across filler-gap dependencies in neural language models
Katherine Howitt, Sathvik Nair, Allison Dods, Robert Melvin Hopkins
Language Model Strong Generalization Neural Language Model Filling Gap Dependency Aware Incident Syntactic Inductive Bias

September 11, 2024

Beyond IID: Optimizing Instruction Learning from the Perspective of Instruction Interaction and Dependency
Hanyu Zhao, Li Du, Yiming Ju, Chengwei Wu, Tengfei Pan
Large Language Model Visual Perspective Curriculum Learning Instruction Generation Instruction Datasets Design Pattern Dependency Aware Incident Instruction Paradigm Search Augmented Instruction Learning

May 25, 2024

From Orthogonality to Dependency: Learning Disentangled Representation for Multi-Modal Time-Series Sensing Signals
Ruichu Cai, Zhifang Jiang, Zijian Li, Weilin Chen, Xuexin Chen, Zhifeng Hao, Yifan Shen, Guangyi Chen, Kun Zhang
Latent Variable Disentangled Representation Post Hoc Orthogonalization Modality Invariant Multimodal Sensing Dependency Aware Incident

February 5, 2024

Dependency Aware Incident Linking in Large Cloud Systems
Supriyo Ghosh, Karish Grover, Jimmy Wong, Chetan Bansal, Rakesh Namineni, Mohit Verma, Saravan Rajmohan
Large Scale Cloud Incident Management Dependency Aware Incident Dependency Graph

November 8, 2023

DACBERT: Leveraging Dependency Agreement for Cost-Efficient Bert Pretraining
Martin Kuo, Jianyi Zhang, Yiran Chen
Language Model Ticket BERT BERT Based BERT Embeddings Pre Trained BERT Dependency Aware Incident

November 1, 2023

A Collaborative Filtering-Based Two Stage Model with Item Dependency for Course Recommendation
Eric L. Lee, Tsung-Ting Kuo, Shou-De Lin
Recommender System Graph Based Collaborative Filtering Dependency Aware Incident Course Recommendation Stage Model Course Recommender System

June 2, 2023

Modularity based linkage model for neuroevolution
Yukai Qiao, Marcus Gallagher
Modularity Function Global Mixing Linkage Model Dependency Aware Incident

May 26, 2023

Stability-penalty-adaptive follow-the-regularized-leader: Sparsity, game-dependency, and best-of-both-worlds
Taira Tsuchiya, Shinji Ito, Junya Honda
Multi Armed Bandit Learning Rate Sparsity Increase Optimal Regret Follow the Regularized Leader Bandit Problem Best of Both World Algorithm Dependency Aware Incident

April 14, 2023

Keeping the Questions Conversational: Using Structured Representations to Resolve Dependency in Conversational Question Answering
Munazza Zaib, Quan Z. Sheng, Wei Emma Zhang, Adnan Mahmood
Question Answering Conversational Agent Structured Representation Dialogue Agent Conversational Question Ambiguous Question ConvQA Face Challenge Dependency Aware Incident

December 15, 2022

A Data Source Dependency Analysis Framework for Large Scale Data Science Projects
Laurent Boué, Pratap Kunireddy, Pavle Subotić
Data Science Dependency Modeling Dependency Aware Incident

November 28, 2022

An Empirical Study of Library Usage and Dependency in Deep Learning Frameworks
Mohamed Raed El aoun, Lionel Nganyewou Tidjon, Ben Rombaut, Foutse Khomh, Ahmed E. Hassan
Deep Learning Empirical Study Deep Learning Framework Easy to Use Library State of the Art Deep Deep Learning Library Dependency Aware Incident High Performance Library

October 19, 2022

Language Model Decomposition: Quantifying the Dependency and Correlation of Language Models
Hao Zhang
Language Model Total Correlation Linear Dependence Dependency Aware Incident

July 21, 2022

D2-TPred: Discontinuous Dependency for Trajectory Prediction under Traffic Lights
Yuzhen Zhang, Wentong Wang, Weizhi Guo, Pei Lv, Mingliang Xu, Wei Chen, Dinesh Manocha
Trajectory Prediction Vehicle Trajectory Prediction Traffic Light Dependency Aware Incident Spatial Network Behavior Graph

July 18, 2022

Positive Dependency Graphs Revisited
Jorge Fandinno, Vladimir Lifschitz
Logic Programming Dependency Aware Incident Model Stability Dependency Graph

June 9, 2022

Crosslinguistic word order variation reflects evolutionary pressures of dependency and information locality
Michael Hahn, Yang Xu
Locality Sensitive Word Order Syntactic Structure Dependency Aware Incident Evolutionary Pressure

May 12, 2022

Using dependency parsing for few-shot learning in distributional semantics
Stefania Preda, Guy Emerson
Shot Learning Distributional Semantics Dependency Aware Incident Additive Intervention

Dependency Aware Incident

Papers

Generalizations across filler-gap dependencies in neural language models

Beyond IID: Optimizing Instruction Learning from the Perspective of Instruction Interaction and Dependency

From Orthogonality to Dependency: Learning Disentangled Representation for Multi-Modal Time-Series Sensing Signals

Dependency Aware Incident Linking in Large Cloud Systems

DACBERT: Leveraging Dependency Agreement for Cost-Efficient Bert Pretraining

A Collaborative Filtering-Based Two Stage Model with Item Dependency for Course Recommendation

Modularity based linkage model for neuroevolution

Stability-penalty-adaptive follow-the-regularized-leader: Sparsity, game-dependency, and best-of-both-worlds

Keeping the Questions Conversational: Using Structured Representations to Resolve Dependency in Conversational Question Answering

A Data Source Dependency Analysis Framework for Large Scale Data Science Projects

An Empirical Study of Library Usage and Dependency in Deep Learning Frameworks

Language Model Decomposition: Quantifying the Dependency and Correlation of Language Models

D2-TPred: Discontinuous Dependency for Trajectory Prediction under Traffic Lights

Positive Dependency Graphs Revisited

Crosslinguistic word order variation reflects evolutionary pressures of dependency and information locality

Using dependency parsing for few-shot learning in distributional semantics