Co-occurring keywords · papers mentioning both
Papers
A Novel Retrieve-Read-Group Paradigm for Open Knowledge Base Canonicalization
AAAI 2026
Beyond Semantic Entropy: Boosting LLM Uncertainty Quantification with Pairwise Semantic Similarity
ACL 2025
Data Pruning by Information Maximization
ICLR 2025
D3still: Decoupled Differential Distillation for Asymmetric Image Retrieval
CVPR 2024
Fast and Adversarial Robust Kernelized SDU Learning
AISTATS 2024
Deep Clustering with Incomplete Noisy Pairwise Annotations: A Geometric Regularization Approach
ICML 2023
Fine Gaze Redirection Learning With Gaze Hardness-Aware Transformation
WACV 2023
Learning Event-aware Measures for Event Coreference Resolution
ACL 2023
Better Private Algorithms for Correlation Clustering
COLT 2022
Learning from Noisy Pairwise Similarity and Unlabeled Data
JMLR 2022
Embedding Transfer With Label Relaxation for Improved Metric Learning
CVPR 2021
Bisect and Conquer: Hierarchical Clustering via Max-Uncut Bisection
AISTATS 2020
Focusing on Detail: Deep Hashing Based on Multiple Region Details (Student Abstract)
AAAI 2020
Learning CNF Blocking for Large-scale Author Name Disambiguation
EMNLP 2020
Unsupervised Person Re-Identification via Softened Similarity Learning
CVPR 2020
Weakly Supervised Disentanglement by Pairwise Similarities
AAAI 2020
Flattening a Hierarchical Clustering through Active Learning
NeurIPS 2019
f-Similarity Preservation Loss for Soft Labels: A Demonstration on Cross-Corpus Speech Emotion Recognition
AAAI 2019
Making Fast Graph-based Algorithms with Graph Metric Embeddings
ACL 2019
Multi-class classification without multi-class labels
ICLR 2019
Similarity Preserving Representation Learning for Time Series Clustering
IJCAI 2019
Classification from Pairwise Similarity and Unlabeled Data
ICML 2018
Fast Similarity Search via Optimal Sparse Lifting
NeurIPS 2018
HashGAN: Deep Learning to Hash With Pair Conditional Wasserstein GAN
CVPR 2018
Hierarchical Clustering with Structural Constraints
ICML 2018