Representation Learning

Scalable and robust tensor ring decomposition for large-scale data UAI 2023 Scalable Attributed-Graph Subspace Clustering AAAI 2023 Scalable Multi-Temporal Remote Sensing Change Data Generation via Simulating Stochastic Change Process ICCV 2023 Scalable Set Encoding with Universal Mini-Batch Consistency and Unbiased Full Set Gradient Approximation ICML 2023 Scalable Spatial Memory for Scene Rendering and Navigation AAAI 2023 Scaling Law for Recommendation Models: Towards General-Purpose User Representations AAAI 2023 Scaling Riemannian Diffusion Models NeurIPS 2023 Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks AAAI 2023 ScanDL: A Diffusion Model for Generating Synthetic Scanpaths on Texts EMNLP 2023 Scattering Vision Transformer: Spectral Mixing Matters NeurIPS 2023 SCCS: Semantics-Consistent Cross-domain Summarization via Optimal Transport Alignment ACL 2023 Scene-Aware Feature Matching ICCV 2023 Scene Graph Contrastive Learning for Embodied Navigation ICCV 2023 Scene-robust Natural Language Video Localization via Learning Domain-invariant Representations ACL 2023 Schema-learning and rebinding as mechanisms of in-context learning and emergence NeurIPS 2023 SciRepEval: A Multi-Format Benchmark for Scientific Document Representations EMNLP 2023 SE(3) diffusion model with application to protein backbone generation ICML 2023 Search-Map-Search: A Frame Selection Paradigm for Action Recognition CVPR 2023 SECAD-Net: Self-Supervised CAD Reconstruction by Learning Sketch-Extrude Operations CVPR 2023 SeedGNN: Graph Neural Network for Supervised Seeded Graph Matching ICML 2023 Seeing a Rose in Five Thousand Ways CVPR 2023 Seeing through the mess: evolutionary dynamics of lexical polysemy EMNLP 2023 SEF-Net: Speaker Embedding Free Target Speaker Extraction Network Interspeech 2023 Select and Optimize: Learning to solve large-scale TSP instances AISTATS 2023 Selectively Answering Ambiguous Questions EMNLP 2023