Co-occurring keywords · papers mentioning both
Papers
ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features
ICML 2025
Concept Space Alignment in Multilingual LLMs
EMNLP 2024
Debiasing Algorithm through Model Adaptation
ICLR 2024
Project and Probe: Sample-Efficient Adaptation by Interpolating Orthogonal Features
ICLR 2024
What Happens to a Dataset Transformed by a Projection-based Concept Removal Method?
COLING 2024
Linearly Mapping from Image to Text Space
ICLR 2023
The CLIP Model is Secretly an Image-to-Prompt Converter
NeurIPS 2023
A Decoder-free Transformer-like Architecture for High-efficiency Single Image Deraining
IJCAI 2022
Why Overfitting Isn’t Always Bad: Retrofitting Cross-Lingual Word Embeddings to Dictionaries
ACL 2020
Best Practices for Learning Domain-Specific Cross-Lingual Embeddings
ACL 2019
Synthetic Propaganda Embeddings To Train A Linear Projection
EMNLP 2019
Online Regression with Partial Information: Generalization and Linear Projection
AISTATS 2018
Distance Covariance Analysis
AISTATS 2017
Linear Dimensionality Reduction: Survey, Insights, and Generalizations
JMLR 2015
Designed Measurements for Vector Count Data
NeurIPS 2013
Latent Coincidence Analysis: A Hidden Variable Model for Distance Metric Learning
NeurIPS 2012
Dimensionality Reduction Using the Sparse Linear Model
NeurIPS 2011
A General Projection Property for Distribution Families
NeurIPS 2009
Large Margin Component Analysis
NeurIPS 2006
Information Bottleneck for Gaussian Variables
JMLR 2005