Co-occurring keywords · papers mentioning both
Papers
ID-GMLM: Intelligent Decision-Making with Integrated Graph Models and Large Language Models
AAAI 2025
Contrastive losses as generalized models of global epistasis
NeurIPS 2024
Decomposing Constraint Networks for Calculating c-Representations
AAAI 2024
Guiding GBFS through Learned Pairwise Rankings
IJCAI 2024
Stability and Multigroup Fairness in Ranking with Uncertain Predictions
ICML 2024
Train Once, Use Flexibly: A Modular Framework for Multi-Aspect Neural News Recommendation
EMNLP 2024
Conditional Independence for Iterated Belief Revision
IJCAI 2022
InfOCF-Web: An Online Tool for Nonmonotonic Reasoning with Conditionals and Ranking Functions
IJCAI 2021
A Domain Generalization Perspective on Listwise Context Modeling
AAAI 2019
Dual-View Ranking with Hardness Assessment for Zero-Shot Learning
AAAI 2019
Alignment Analysis of Sequential Segmentation of Lexicons to Improve Automatic Cognate Detection
ACL 2018
Extreme Learning to Rank via Low Rank Assumption
ICML 2018
Learning Query and Image Similarities With Ranking Canonical Correlation Analysis
ICCV 2015
Modeling Video Evolution for Action Recognition
CVPR 2015
A Representation Theory for Ranking Functions
NeurIPS 2014
Beyond Comparing Image Pairs: Setwise Active Learning for Relative Attributes
CVPR 2014
Fine-Grained Visual Comparisons with Local Learning
CVPR 2014
Predicting Multiple Attributes via Relative Multi-task Learning
CVPR 2014
Top Rank Optimization in Linear Time
NeurIPS 2014
Relative Attributes for Large-Scale Abandoned Object Detection
ICCV 2013
Empirical Bernstein Inequalities for U-Statistics
NeurIPS 2010
Learning to Rank by Optimizing NDCG Measure
NeurIPS 2009
A General Boosting Method and its Application to Learning Ranking Functions for Web Search
NeurIPS 2007
Evaluating Search Engines by Modeling the Relationship Between Relevance and Clicks
NeurIPS 2007