Co-occurring keywords · papers mentioning both
Papers
HyCal: A Training-Free Prototype Calibration Method for Cross-Discipline Few-Shot Class-Incremental Learning
CVPR 2026
Streamlined Knowledge Distillation
CVPR 2026
Verifiable LLM-Generated Text Detection via Projected Semantic-Structural Distributions
ACL 2026
A Multivariate Unimodality Test Harnessing the Dip Statistic of Mahalanobis Distances Over Random Projections
UAI 2025
Class Distillation with Mahalanobis Contrast: An Efficient Training Paradigm for Pragmatic Language Understanding Tasks
ACL 2025
Infinite-dimensional Mahalanobis Distance with Applications to Kernelized Novelty Detection
JMLR 2025
Mahalanobis++: Improving OOD Detection via Feature Normalization
ICML 2025
Max-Mahalanobis Anchors Guidance for Multi-View Clustering
AAAI 2025
Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning
ICML 2025
Some Targets Are Harder to Identify than Others: Quantifying the Target-dependent Membership Leakage
AISTATS 2025
Token-Level Density-Based Uncertainty Quantification Methods for Eliciting Truthfulness of Large Language Models
NAACL 2025
Cluster-Adaptive Network A/B Testing: From Randomization to Estimation
JMLR 2024
Elliptical Attention
NeurIPS 2024
Metric Learning from Limited Pairwise Preference Comparisons
UAI 2024
SimCalib: Graph Neural Network Calibration Based on Similarity between Nodes
AAAI 2024
Transformer-based Joint Modelling for Automatic Essay Scoring and Off-Topic Detection
COLING 2024
Hierarchical Visual Categories Modeling: A Joint Representation Learning and Density Estimation Framework for Out-of-Distribution Detection
ICCV 2023
Learning Sample Difficulty from Pre-trained Models for Reliable Prediction
NeurIPS 2023
Perceptual adjustment queries and an inverted measurement paradigm for low-rank metric learning
NeurIPS 2023
Progressive Transformation Learning for Leveraging Virtual Images in Training
CVPR 2023
Simple and Effective Out-of-Distribution Detection via Cosine-based Softmax Loss
ICCV 2023
Task Agnostic and Post-Hoc Unseen Distribution Detection
WACV 2023
Unsupervised Out-of-Distribution Dialect Detection with Mahalanobis Distance
Interspeech 2023
Enhancing Few-Shot Image Classification With Unlabelled Examples
WACV 2022
Gradient-Based Novelty Detection Boosted by Self-Supervised Binary Classification
AAAI 2022