conftrace_

canonical correlation analysis

119 papers

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Also known as

CCA

Co-occurring keywords · papers mentioning both

representation learning (23) multi-view learning (21) multimodal learning (13) dimensionality reduction (11) neural network (7) principal component analysis (7) unsupervised learning (6) convolutional neural network (5) centered kernel alignment (5) kernel methods (5)

Papers

A Network of Biologically Inspired Rectified Spectral Units (ReSUs) Learns Hierarchical Features Without Error Backpropagation AAAI 2026 Discovering a Shared Logical Subspace: Steering LLM Logical Reasoning via Alignment of Natural-Language and Symbolic Views ACL 2026 GenDis: Generative-Discriminative Dual-View Co-Training for Generalized Category Discovery ACL 2026 Provable Subspace Identification of Nonlinear Multi-view CCA UAI 2026 Subspace Alignment for CLIP-based Continual Learning via Canonical Correlation Analysis CVPR 2026 VRCLIP: Multimodal Canonical Correlation Alignment for CLIP-Driven Vision-Radio Person Re-Identification CVPR 2026 Causal Explanation of Quality of Parent-Child Interactions with Multimodal Behavioral Features (Student Abstract) AAAI 2025 COPER: Correlation-based Permutations for Multi-View Clustering ICLR 2025 Hierarchical Consensus Network for Multiview Feature Learning AAAI 2025 How Not to Stitch Representations to Measure Similarity: Task Loss Matching Versus Direct Matching AAAI 2025 InfoDPCCA: Information-Theoretic Dynamic Probabilistic Canonical Correlation Analysis UAI 2025 Maximizing the Effectiveness of Larger BERT Models for Compression ACL 2025 Audio Scanning Network: Bridging Time and Frequency Domains for Audio Classification AAAI 2024 Deep Geodesic Canonical Correlation Analysis for Covariance-Based Neuroimaging Data ICLR 2024 Faster Randomized Methods for Orthogonality Constrained Problems JMLR 2024 Generalized Eigenvalue Problems with Generative Priors NeurIPS 2024 Harmony in Diversity: Merging Neural Networks with Canonical Correlation Analysis ICML 2024 Hypergraph Self-supervised Learning with Sampling-efficient Signals IJCAI 2024 Identifiable Shared Component Analysis of Unpaired Multimodal Mixtures NeurIPS 2024 On Sparse Canonical Correlation Analysis NeurIPS 2024 Optimization without Retraction on the Random Generalized Stiefel Manifold ICML 2024 The Effective Number of Shared Dimensions Between Paired Datasets AISTATS 2024 Unconstrained Stochastic CCA: Unifying Multiview and Self-Supervised Learning ICLR 2024 Fair Canonical Correlation Analysis NeurIPS 2023 Max-Sliced Mutual Information NeurIPS 2023