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Deep Learning

78,198 papers (26 classified directly here)

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Papers (including subtopics)

Polygonal Unadjusted Langevin Algorithms: Creating stable and efficient adaptive algorithms for neural networks JMLR 2024 Polyhedral Complex Derivation from Piecewise Trilinear Networks NeurIPS 2024 PolyMaX: General Dense Prediction With Mask Transformer WACV 2024 Polynomial-based Self-Attention for Table Representation Learning ICML 2024 Polynomial Width is Sufficient for Set Representation with High-dimensional Features ICLR 2024 Polynormer: Polynomial-Expressive Graph Transformer in Linear Time ICLR 2024 PolySketchFormer: Fast Transformers via Sketching Polynomial Kernels ICML 2024 PolyuCBS at SMM4H 2024: LLM-based Medical Disorder and Adverse Drug Event Detection with Low-rank Adaptation ACL 2024 PopAut: An Annotated Corpus for Populism Detection in Austrian News Comments COLING 2024 POP-CEE: Position-oriented Prompt-tuning Model for Causal Emotion Entailment ACL 2024 PORF: POSE RESIDUAL FIELD FOR ACCURATE NEURAL SURFACE RECONSTRUCTION ICLR 2024 Portrait4D: Learning One-Shot 4D Head Avatar Synthesis using Synthetic Data CVPR 2024 PortraitBooth: A Versatile Portrait Model for Fast Identity-preserved Personalization CVPR 2024 PosDiffNet: Positional Neural Diffusion for Point Cloud Registration in a Large Field of View with Perturbations AAAI 2024 PoseDiff: Pose-Conditioned Multimodal Diffusion Model for Unbounded Scene Synthesis From Sparse Inputs WACV 2024 PoseGen: Learning to Generate 3D Human Pose Dataset with NeRF AAAI 2024 Poseidon: Efficient Foundation Models for PDEs NeurIPS 2024 PoseIRM: Enhance 3D Human Pose Estimation on Unseen Camera Settings via Invariant Risk Minimization CVPR 2024 Pose Modulated Avatars from Video ICLR 2024 Pose-Transformed Equivariant Network for 3D Point Trajectory Prediction CVPR 2024 Positional Knowledge is All You Need: Position-induced Transformer (PiT) for Operator Learning ICML 2024 Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI ICML 2024 Position: Categorical Deep Learning is an Algebraic Theory of All Architectures ICML 2024 Position: Compositional Generative Modeling: A Single Model is Not All You Need ICML 2024 Position: Considerations for Differentially Private Learning with Large-Scale Public Pretraining ICML 2024