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

'15

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'25

Papers (including subtopics)

Improving Robustness of GNN-based Anomaly Detection by Graph Adversarial Training COLING 2024 Improving Robustness to Model Inversion Attacks via Sparse Coding Architectures ECCV 2024 Improving Semantic Control in Discrete Latent Spaces with Transformer Quantized Variational Autoencoders EACL 2024 Improving Sparse Decomposition of Language Model Activations with Gated Sparse Autoencoders NeurIPS 2024 Improving Spectral Snapshot Reconstruction with Spectral-Spatial Rectification CVPR 2024 Improving Speech Enhancement by Integrating Inter-Channel and Band Features with Dual-branch Conformer Interspeech 2024 Improving Streaming Speech Recognition With Time-Shifted Contextual Attention And Dynamic Right Context Masking Interspeech 2024 Improving Temporal Link Prediction via Temporal Walk Matrix Projection NeurIPS 2024 Improving the Adversarial Transferability of Vision Transformers with Virtual Dense Connection AAAI 2024 Improving Training Efficiency of Diffusion Models via Multi-Stage Framework and Tailored Multi-Decoder Architecture CVPR 2024 Improving Transformers with Dynamically Composable Multi-Head Attention ICML 2024 IM-Unpack: Training and Inference with Arbitrarily Low Precision Integers ICML 2024 In2SET: Intra-Inter Similarity Exploiting Transformer for Dual-Camera Compressive Hyperspectral Imaging CVPR 2024 IncepSeqNet: Advancing Signal Classification with Multi-Shape Augmentation (Student Abstract) AAAI 2024 INCODE: Implicit Neural Conditioning With Prior Knowledge Embeddings WACV 2024 In-context Convergence of Transformers ICML 2024 In-Context Freeze-Thaw Bayesian Optimization for Hyperparameter Optimization ICML 2024 In-context Learning and Gradient Descent Revisited NAACL 2024 In-Context Learning of a Linear Transformer Block: Benefits of the MLP Component and One-Step GD Initialization NeurIPS 2024 In-context Learning on Function Classes Unveiled for Transformers ICML 2024 In-Context Learning with Representations: Contextual Generalization of Trained Transformers NeurIPS 2024 In-Context Learning with Transformers: Softmax Attention Adapts to Function Lipschitzness NeurIPS 2024 Incorporating Exponential Smoothing into MLP: a Simple but Effective Sequence Model NAACL 2024 Incorporating Lexical and Syntactic Knowledge for Unsupervised Cross-Lingual Transfer COLING 2024 Incorporating probabilistic domain knowledge into deep multiple instance learning ICML 2024