neural network representation

How Not to Stitch Representations to Measure Similarity: Task Loss Matching Versus Direct Matching AAAI 2025 Decoupling Semantic Similarity from Spatial Alignment for Neural Networks. NeurIPS 2024 Feature emergence via margin maximization: case studies in algebraic tasks ICLR 2024 Removing Spurious Concepts from Neural Network Representations via Joint Subspace Estimation ICML 2024 TabLog: Test-Time Adaptation for Tabular Data Using Logic Rules ICML 2024 TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learning NeurIPS 2024 Human alignment of neural network representations ICLR 2023 Improving neural network representations using human similarity judgments NeurIPS 2023 NAR-Former V2: Rethinking Transformer for Universal Neural Network Representation Learning NeurIPS 2023 Grounding Representation Similarity Through Statistical Testing NeurIPS 2021 Similarity and Matching of Neural Network Representations NeurIPS 2021 Similarity of Neural Network Representations Revisited ICML 2019 Net2Vec: Quantifying and Explaining How Concepts Are Encoded by Filters in Deep Neural Networks CVPR 2018 Scalable Coordinated Exploration in Concurrent Reinforcement Learning NeurIPS 2018