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)

Exploring Channel-Aware Typical Features for Out-of-Distribution Detection AAAI 2024 Exploring compressibility of transformer based text-to-music (TTM) models Interspeech 2024 Exploring Consistency in Graph Representations: from Graph Kernels to Graph Neural Networks NeurIPS 2024 Exploring Correlations of Self-Supervised Tasks for Graphs ICML 2024 Exploring DCN-like architecture for fast image generation with arbitrary resolution NeurIPS 2024 Exploring Effective Stimulus Encoding via Vision System Modeling for Visual Prostheses ICLR 2024 Exploring Energy-Based Models for Out-of-Distribution Detection in Dialect Identification Interspeech 2024 Exploring hybrid approaches to readability: experiments on the complementarity between linguistic features and transformers EACL 2024 Exploring Hybrid Question Answering via Program-based Prompting ACL 2024 Exploring Language Models to Analyze Market Demand Sentiments from News ACL 2024 Exploring Molecular Pretraining Model at Scale NeurIPS 2024 Exploring Multilingual Unseen Speaker Emotion Recognition: Leveraging Co-Attention Cues in Multitask Learning Interspeech 2024 Exploring Question Guidance and Answer Calibration for Visually Grounded Video Question Answering EMNLP 2024 Exploring Regional Clues in CLIP for Zero-Shot Semantic Segmentation CVPR 2024 Exploring Region-Word Alignment in Built-in Detector for Open-Vocabulary Object Detection CVPR 2024 Exploring Self- and Cross-Triplet Correlations for Human-Object Interaction Detection AAAI 2024 Exploring Target Representations for Masked Autoencoders ICLR 2024 Exploring the Benefit of Activation Sparsity in Pre-training ICML 2024 Exploring the Capability of Mamba in Speech Applications Interspeech 2024 Exploring the Complexity of Deep Neural Networks through Functional Equivalence ICML 2024 Exploring the impact of noise in low-resource ASR for Tamil EACL 2024 Exploring the limits of decoder-only models trained on public speech recognition corpora Interspeech 2024 Exploring the Low-Pass Filtering Behavior in Image Super-Resolution ICML 2024 Exploring the Power of Graph Neural Networks in Solving Linear Optimization Problems AISTATS 2024 Exploring the Promise and Limits of Real-Time Recurrent Learning ICLR 2024