Deep Learning
78,198 papers (26 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
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5
1
2
47
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51
87
90
125
229
234
453
859
1,652
3,233
5,368
6,434
7,726
8,506
9,951
12,524
14,487
6,029
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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