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)

Toward Consistent and Informative Event-Event Temporal Relation Extraction ACL 2023 Toward RAW Object Detection: A New Benchmark and a New Model CVPR 2023 Toward Robust Uncertainty Estimation with Random Activation Functions AAAI 2023 Towards Accurate Image Coding: Improved Autoregressive Image Generation With Dynamic Vector Quantization CVPR 2023 Towards Accurate Translation via Semantically Appropriate Application of Lexical Constraints ACL 2023 Towards a Deep Understanding of Multilingual End-to-End Speech Translation EMNLP 2023 Towards Attention-based Contrastive Learning for Audio Spoof Detection Interspeech 2023 Towards Being Parameter-Efficient: A Stratified Sparsely Activated Transformer with Dynamic Capacity EMNLP 2023 Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering ICML 2023 Towards Better Visualizing the Decision Basis of Networks via Unfold and Conquer Attribution Guidance AAAI 2023 Towards Deep Attention in Graph Neural Networks: Problems and Remedies ICML 2023 Towards Effective and Compact Contextual Representation for Conformer Transducer Speech Recognition Systems Interspeech 2023 Towards Efficient Use of Multi-Scale Features in Transformer-Based Object Detectors CVPR 2023 Towards End-to-End Generative Modeling of Long Videos With Memory-Efficient Bidirectional Transformers CVPR 2023 Towards Enhancing Relational Rules for Knowledge Graph Link Prediction EMNLP 2023 Towards Example-Based NMT with Multi-Levenshtein Transformers EMNLP 2023 Towards Extracting and Understanding the Implicit Rubrics of Transformer Based Automatic Essay Scoring Models ACL 2023 Towards Fine-Grained Explainability for Heterogeneous Graph Neural Network AAAI 2023 Towards General Low-Light Raw Noise Synthesis and Modeling ICCV 2023 Towards Higher Ranks via Adversarial Weight Pruning NeurIPS 2023 Towards Hybrid-grained Feature Interaction Selection for Deep Sparse Network NeurIPS 2023 Towards Improved Input Masking for Convolutional Neural Networks ICCV 2023 Towards In-Distribution Compatible Out-of-Distribution Detection AAAI 2023 Towards Label Position Bias in Graph Neural Networks NeurIPS 2023 Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks ICCV 2023