conftrace_

Architectures

30,950 papers (33 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Neural Networks (13,168) Transformers (11,186) Graph Neural Networks (5,491) Autoencoders (1,313) Convolutional Neural Networks (1,049) Recurrent Neural Networks (675) Generative Adversarial Networks (94) Encoder-Decoder (36)

Papers per year

2

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15

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27

39

43

74

94

221

536

912

1,611

2,559

3,004

3,504

3,729

4,021

4,550

4,519

1,439

'10

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Papers (including subtopics)

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 PolyGCL: GRAPH CONTRASTIVE LEARNING via Learnable Spectral Polynomial Filters ICLR 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 PopAut: An Annotated Corpus for Populism Detection in Austrian News Comments COLING 2024 PORF: POSE RESIDUAL FIELD FOR ACCURATE NEURAL SURFACE RECONSTRUCTION ICLR 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 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: Categorical Deep Learning is an Algebraic Theory of All Architectures ICML 2024 Position: Future Directions in the Theory of Graph Machine Learning ICML 2024 Position: Graph Foundation Models Are Already Here ICML 2024 Position: Relational Deep Learning - Graph Representation Learning on Relational Databases ICML 2024 Position: The No Free Lunch Theorem, Kolmogorov Complexity, and the Role of Inductive Biases in Machine Learning ICML 2024 Position: Topological Deep Learning is the New Frontier for Relational Learning ICML 2024 Positive Concave Deep Equilibrium Models ICML 2024 Post-decoder Biasing for End-to-End Speech Recognition of Multi-turn Medical Interview COLING 2024 Post-hoc Part-Prototype Networks ICML 2024