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

3

15

13

18

17

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)

Mnemosyne: Learning to Train Transformers with Transformers NeurIPS 2023 MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models ICLR 2023 MobileOne: An Improved One Millisecond Mobile Backbone CVPR 2023 Modality-Agnostic Variational Compression of Implicit Neural Representations ICML 2023 Modality-Invariant Visual Odometry for Embodied Vision CVPR 2023 Model-assisted Lexical Tone Evaluation of three-year-old Chinese-speaking Children by also Considering Segment Production Interspeech 2023 Model-Based Control with Sparse Neural Dynamics NeurIPS 2023 Modeling Dynamics over Meshes with Gauge Equivariant Nonlinear Message Passing NeurIPS 2023 Modeling Structural Similarities between Documents for Coherence Assessment with Graph Convolutional Networks ACL 2023 Modeling the Lighting in Scenes As Style for Auto White-Balance Correction WACV 2023 Modeling with Homophily Driven Heterogeneous Data in Gossip Learning IJCAI 2023 Modelling Cellular Perturbations with the Sparse Additive Mechanism Shift Variational Autoencoder NeurIPS 2023 Modelling Long Range Dependencies in ND: From Task-Specific to a General Purpose CNN ICLR 2023 Modelling Temporal Document Sequences for Clinical ICD Coding EACL 2023 Model-tuning Via Prompts Makes NLP Models Adversarially Robust EMNLP 2023 Mode-Seeking Divergences: Theory and Applications to GANs AISTATS 2023 Modular Transformers: Compressing Transformers into Modularized Layers for Flexible Efficient Inference ACL 2023 MoEC: Mixture of Expert Clusters AAAI 2023 Mole-BERT: Rethinking Pre-training Graph Neural Networks for Molecules ICLR 2023 Molecular Geometry Pretraining with SE(3)-Invariant Denoising Distance Matching ICLR 2023 Molecule Generation For Target Protein Binding with Structural Motifs ICLR 2023 Molformer: Motif-Based Transformer on 3D Heterogeneous Molecular Graphs AAAI 2023 MolGrapher: Graph-based Visual Recognition of Chemical Structures ICCV 2023 MolHF: A Hierarchical Normalizing Flow for Molecular Graph Generation IJCAI 2023 Momentum Stiefel Optimizer, with Applications to Suitably-Orthogonal Attention, and Optimal Transport ICLR 2023