Transformers

Latent Diffusion Transformer for Probabilistic Time Series Forecasting AAAI 2024 Latent Neural Operator for Solving Forward and Inverse PDE Problems NeurIPS 2024 Latent Plan Transformer for Trajectory Abstraction: Planning as Latent Space Inference NeurIPS 2024 Latent Space Editing in Transformer-Based Flow Matching AAAI 2024 Layer-Condensed KV Cache for Efficient Inference of Large Language Models ACL 2024 Layer-Wise Representation Fusion for Compositional Generalization AAAI 2024 LayoutFormer: Hierarchical Text Detection Towards Scene Text Understanding CVPR 2024 LayoutPointer: A Spatial-Context Adaptive Pointer Network for Visual Information Extraction NAACL 2024 Learnable Cube-Based Video Encryption for Privacy-Preserving Action Recognition WACV 2024 Learned Transformer Position Embeddings Have a Low-Dimensional Structure ACL 2024 Learning 1D Causal Visual Representation with De-focus Attention Networks NeurIPS 2024 Learning Accurate and Bidirectional Transformation via Dynamic Embedding Transportation for Cross-Domain Recommendation AAAI 2024 Learning Adaptive and View-Invariant Vision Transformer for Real-Time UAV Tracking ICML 2024 Learning a Fourier Transform for Linear Relative Positional Encodings in Transformers AISTATS 2024 Learning and Transferring Sparse Contextual Bigrams with Linear Transformers NeurIPS 2024 Learning Associative Memories with Gradient Descent ICML 2024 Learning Better Representations From Less Data For Propositional Satisfiability NeurIPS 2024 Learning CNN on ViT: A Hybrid Model to Explicitly Class-specific Boundaries for Domain Adaptation CVPR 2024 Learning Cognitive Maps from Transformer Representations for Efficient Planning in Partially Observed Environments ICML 2024 Learning Content-Enhanced Mask Transformer for Domain Generalized Urban-Scene Segmentation AAAI 2024 Learning Correlation Structures for Vision Transformers CVPR 2024 Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer ICLR 2024 Learning Frequency-Adapted Vision Foundation Model for Domain Generalized Semantic Segmentation NeurIPS 2024 Learning from Back Chunks: Acquiring More Future Knowledge for Streaming ASR Models via Self Distillation Interspeech 2024 Learning Granular Media Avalanche Behavior for Indirectly Manipulating Obstacles on a Granular Slope CoRL 2024