centered kernel alignment

Aggregation Mechanism Based Graph Heterogeneous Networks Distillation IJCAI 2025 Differentiable Optimization of Similarity Scores Between Models and Brains ICLR 2025 How Not to Stitch Representations to Measure Similarity: Task Loss Matching Versus Direct Matching AAAI 2025 REEF: Representation Encoding Fingerprints for Large Language Models ICLR 2025 Spectral Insights into Data-Oblivious Critical Layers in Large Language Models ACL 2025 Target Bias Is All You Need: Zero-Shot Debiasing of Vision-Language Models with Bias Corpus ICCV 2025 Tracing Representation Progression: Analyzing and Enhancing Layer-Wise Similarity ICLR 2025 Compositional Few-Shot Class-Incremental Learning ICML 2024 Do Vision and Language Encoders Represent the World Similarly? CVPR 2024 Enhancing Diversity in Bayesian Deep Learning via Hyperspherical Energy Minimization of CKA NeurIPS 2024 Exploring Linguistic Properties of Monolingual BERTs with Typological Classification among Languages EMNLP 2023 One-for-All: Bridge the Gap Between Heterogeneous Architectures in Knowledge Distillation NeurIPS 2023 Reliability of CKA as a Similarity Measure in Deep Learning ICLR 2023 Revisiting the Evaluation of Image Synthesis with GANs NeurIPS 2023 Deconfounded Representation Similarity for Comparison of Neural Networks NeurIPS 2022 Fine-Tuned Transformers Show Clusters of Similar Representations Across Layers EMNLP 2021 Grounding Representation Similarity Through Statistical Testing NeurIPS 2021 Insights on Neural Representations for End-to-End Speech Recognition Interspeech 2021 Revisiting Model Stitching to Compare Neural Representations NeurIPS 2021 Correlations between Word Vector Sets EMNLP 2019 Similarity of Neural Network Representations Revisited ICML 2019 Canonical Correlation Analysis based on Hilbert-Schmidt Independence Criterion and Centered Kernel Target Alignment ICML 2013