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 a theory of how the structure of language is acquired by deep neural networks NeurIPS 2024 Towards a Theory of Machine Learning on Graphs and its Applications in Combinatorial Optimization IJCAI 2024 Towards a Transformer-Based Reverse Dictionary Model for Quality Estimation of Definitions (Student Abstract) AAAI 2024 Towards Automated Movie Trailer Generation CVPR 2024 Towards Better Graph-based Cross-document Relation Extraction via Non-bridge Entity Enhancement and Prediction Debiasing ACL 2024 Towards Better Structured Pruning Saliency by Reorganizing Convolution WACV 2024 Towards Better Vision-Inspired Vision-Language Models CVPR 2024 Towards bio-inspired control of aerial vehicle: Distributed aerodynamic parameters for state prediction L4DC 2024 Towards Category Unification of 3D Single Object Tracking on Point Clouds ICLR 2024 Towards Certified Unlearning for Deep Neural Networks ICML 2024 Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders AAAI 2024 Towards Continual Knowledge Graph Embedding via Incremental Distillation AAAI 2024 Towards Continual Learning Desiderata via HSIC-Bottleneck Orthogonalization and Equiangular Embedding AAAI 2024 Towards Croppable Implicit Neural Representations NeurIPS 2024 Towards Cross Domain Generalization of Hamiltonian Representation via Meta Learning ICLR 2024 Towards Diverse Perspective Learning with Selection over Multiple Temporal Poolings AAAI 2024 Towards Dynamic Message Passing on Graphs NeurIPS 2024 Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective AAAI 2024 Towards Effective and General Graph Unlearning via Mutual Evolution AAAI 2024 Towards Effective Planning Strategies for Dynamic Opinion Networks NeurIPS 2024 Towards efficient deep spiking neural networks construction with spiking activity based pruning ICML 2024 Towards Efficient MCMC Sampling in Bayesian Neural Networks by Exploiting Symmetry (Extended Abstract) IJCAI 2024 Towards Efficient Spiking Transformer: a Token Sparsification Framework for Training and Inference Acceleration ICML 2024 Towards Fair Graph Federated Learning via Incentive Mechanisms AAAI 2024 Towards Faithful Explanations: Boosting Rationalization with Shortcuts Discovery ICLR 2024