Showing 1–20 of 20 results
/ Date/ Name
Feb 18, 2026Flow Map Language Models: One-step Language Modeling via Continuous DenoisingDec 17, 2025FlowBind: Efficient Any-to-Any Generation with Bidirectional FlowsOct 24, 2025Disentangled Representation Learning via Modular Compositional BiasDec 13, 2024Learning to Merge Tokens via Decoupled Embedding for Efficient Vision TransformersDec 11, 2024Revisiting Weight Averaging for Model MergingDec 10, 2024Meta-Controller: Few-Shot Imitation of Unseen Embodiments and Tasks in Continuous ControlMay 1, 2024Learning to Compose: Improving Object Centric Learning by Injecting CompositionalityNov 13, 2023Learning Symmetrization for Equivariance with Orbit Distance MinimizationOct 27, 2022Transformers meet Stochastic Block Models: Attention with Data-Adaptive Sparsity and CostAug 11, 2022Diverse Generative Perturbations on Attention Space for Transferable Adversarial AttacksDec 8, 2020Variational Interaction Information Maximization for Cross-domain DisentanglementJan 13, 2020High-Fidelity Synthesis with Disentangled RepresentationJan 25, 2019Diversity-Sensitive Conditional Generative Adversarial NetworksAug 22, 2018Learning Hierarchical Semantic Image Manipulation through Structured RepresentationsJan 16, 2018Inferring Semantic Layout for Hierarchical Text-to-Image SynthesisJan 2, 2017Weakly Supervised Semantic Segmentation using Web-Crawled VideosDec 24, 2015Learning Transferrable Knowledge for Semantic Segmentation with Deep Convolutional Neural NetworkJun 16, 2015Decoupled Deep Neural Network for Semi-supervised Semantic SegmentationMay 17, 2015Learning Deconvolution Network for Semantic SegmentationFeb 24, 2015Online Tracking by Learning Discriminative Saliency Map with Convolutional Neural Network