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

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Papers (including subtopics)

Semi-Open 3D Object Retrieval via Hierarchical Equilibrium on Hypergraph NeurIPS 2024 Semi-supervised Learning of Dynamical Systems with Neural Ordinary Differential Equations: A Teacher-Student Model Approach AAAI 2024 Semi-Supervised Semantic Depth Estimation Using Symbiotic Transformer and NearFarMix Augmentation WACV 2024 Semi-supervised TEE Segmentation via Interacting with SAM Equipped with Noise-Resilient Prompting AAAI 2024 SeNM-VAE: Semi-Supervised Noise Modeling with Hierarchical Variational Autoencoder CVPR 2024 SensoryT5: Infusing Sensorimotor Norms into T5 for Enhanced Fine-grained Emotion Classification COLING 2024 Sentence-level Prompts Benefit Composed Image Retrieval ICLR 2024 Separable Self and Mixed Attention Transformers for Efficient Object Tracking WACV 2024 Separate and Diffuse: Using a Pretrained Diffusion Model for Better Source Separation ICLR 2024 Separate and Reconstruct: Asymmetric Encoder-Decoder for Speech Separation NeurIPS 2024 Separation and Bias of Deep Equilibrium Models on Expressivity and Learning Dynamics NeurIPS 2024 Separations in the Representational Capabilities of Transformers and Recurrent Architectures NeurIPS 2024 SEQ-former: A context-enhanced and efficient automatic speech recognition framework Interspeech 2024 Sequence Alignment-based Similarity Metric in Evolutionary Neural Architecture Search AutoML 2024 Sequence-Augmented SE(3)-Flow Matching For Conditional Protein Generation NeurIPS 2024 Sequence Length Independent Norm-Based Generalization Bounds for Transformers AISTATS 2024 Sequential Fusion Based Multi-Granularity Consistency for Space-Time Transformer Tracking AAAI 2024 Sequential Modeling Enables Scalable Learning for Large Vision Models CVPR 2024 Sequential Signal Mixing Aggregation for Message Passing Graph Neural Networks NeurIPS 2024 Sequential Transformer for End-to-End Video Text Detection WACV 2024 Serialized Output Training by Learned Dominance Interspeech 2024 Set-based Neural Network Encoding Without Weight Tying NeurIPS 2024 SFOD: Spiking Fusion Object Detector CVPR 2024 SGFormer: Semantic Graph Transformer for Point Cloud-Based 3D Scene Graph Generation AAAI 2024 Shaking Up VLMs: Comparing Transformers and Structured State Space Models for Vision & Language Modeling EMNLP 2024