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

'20

'25

Papers (including subtopics)

Towards Few-shot Entity Recognition in Document Images: A Graph Neural Network Approach Robust to Image Manipulation COLING 2024 Towards Flexible Visual Relationship Segmentation NeurIPS 2024 Towards Foundation Models for Knowledge Graph Reasoning ICLR 2024 Towards General Neural Surrogate Solvers with Specialized Neural Accelerators ICML 2024 Towards General Robustness Verification of MaxPool-based Convolutional Neural Networks via Tightening Linear Approximation CVPR 2024 Towards Geometric Normalization Techniques in SE(3) Equivariant Graph Neural Networks for Physical Dynamics Simulations IJCAI 2024 Towards HDR and HFR Video from Rolling-Mixed-Bit Spikings CVPR 2024 Towards Human-like Learning from Relational Structured Data AAAI 2024 Towards Inductive Robustness: Distilling and Fostering Wave-Induced Resonance in Transductive GCNs against Graph Adversarial Attacks AAAI 2024 Towards Interpretable Deep Local Learning with Successive Gradient Reconciliation ICML 2024 Towards Interpretable Sequence Continuation: Analyzing Shared Circuits in Large Language Models EMNLP 2024 Towards Model Extraction Attacks in GAN-Based Image Translation via Domain Shift Mitigation AAAI 2024 Towards Multi-Modal Co-Reference Resolution in Conversational Shopping Agents COLING 2024 Towards Neural Architecture Search through Hierarchical Generative Modeling ICML 2024 Towards Next-Level Post-Training Quantization of Hyper-Scale Transformers NeurIPS 2024 Towards Online Continuous Sign Language Recognition and Translation EMNLP 2024 Towards Principled Graph Transformers NeurIPS 2024 Towards Progressive Multi-Frequency Representation for Image Warping CVPR 2024 Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks ICLR 2024 Towards Scalable and Stable Parallelization of Nonlinear RNNs NeurIPS 2024 Towards Scalable and Versatile Weight Space Learning ICML 2024 Towards Scalable Bayesian Transformers: Investigating stochastic subset selection for NLP UAI 2024 Towards Scene Graph Anticipation ECCV 2024 Towards Self-Attention Understanding for Automatic Articulatory Processes Analysis in Cleft Lip and Palate Speech Interspeech 2024 Towards Speech Classification from Acoustic and Vocal Tract data in Real-time MRI Interspeech 2024