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Transformers

11,186 papers

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Papers

PointMamba: A Simple State Space Model for Point Cloud Analysis NeurIPS 2024 PointPatchRL - Masked Reconstruction Improves Reinforcement Learning on Point Clouds CoRL 2024 Point Transformer V3: Simpler Faster Stronger CVPR 2024 Point Transformer with Federated Learning for Predicting Breast Cancer HER2 Status from Hematoxylin and Eosin-Stained Whole Slide Images AAAI 2024 PolarRec: Improving Radio Interferometric Data Reconstruction Using Polar Coordinates CVPR 2024 PolCLIP: A Unified Image-Text Word Sense Disambiguation Model via Generating Multimodal Complementary Representations ACL 2024 PoliFormer: Scaling On-Policy RL with Transformers Results in Masterful Navigators CoRL 2024 PolitiCause: An Annotation Scheme and Corpus for Causality in Political Texts COLING 2024 PolyMaX: General Dense Prediction With Mask Transformer WACV 2024 Polynomial-based Self-Attention for Table Representation Learning ICML 2024 Polynormer: Polynomial-Expressive Graph Transformer in Linear Time ICLR 2024 PolySketchFormer: Fast Transformers via Sketching Polynomial Kernels ICML 2024 PopAut: An Annotated Corpus for Populism Detection in Austrian News Comments COLING 2024 PosDiffNet: Positional Neural Diffusion for Point Cloud Registration in a Large Field of View with Perturbations AAAI 2024 Poseidon: Efficient Foundation Models for PDEs NeurIPS 2024 Positional Knowledge is All You Need: Position-induced Transformer (PiT) for Operator Learning ICML 2024 Post-decoder Biasing for End-to-End Speech Recognition of Multi-turn Medical Interview COLING 2024 PowerPM: Foundation Model for Power Systems NeurIPS 2024 Predicting Item Difficulty and Item Response Time with Scalar-mixed Transformer Encoder Models and Rational Network Regression Heads NAACL 2024 Predicting positive transfer for improved low-resource speech recognition using acoustic pseudo-tokens EACL 2024 Predictive Modeling with Temporal Graphical Representation on Electronic Health Records IJCAI 2024 PredToken: Predicting Unknown Tokens and Beyond with Coarse-to-Fine Iterative Decoding CVPR 2024 Preserving Spatial-Temporal Relationship with Adaptive Node Sampling in Hierarchical Dynamic Graph Transformers ACML 2024 Pre-trained Language Models Do Not Help Auto-regressive Text-to-Image Generation EMNLP 2024 Pre-Trained Multi-Goal Transformers with Prompt Optimization for Efficient Online Adaptation NeurIPS 2024