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)

Compositional Curvature Bounds for Deep Neural Networks ICML 2024 Compositional Generalization Across Distributional Shifts with Sparse Tree Operations NeurIPS 2024 Compositional PAC-Bayes: Generalization of GNNs with persistence and beyond NeurIPS 2024 Compositional Video Understanding with Spatiotemporal Structure-based Transformers CVPR 2024 Compound Text-Guided Prompt Tuning via Image-Adaptive Cues AAAI 2024 Comprehensive Attribution: Inherently Explainable Vision Model with Feature Detector ECCV 2024 Comprehensive View Embedding Learning for Single-Cell Multimodal Integration AAAI 2024 Compressing Latent Space via Least Volume ICLR 2024 Compression of Structured Data with Autoencoders: Provable Benefit of Nonlinearities and Depth ICML 2024 Computational Expressivity of Neural Language Models ACL 2024 Concept Bottleneck Generative Models ICLR 2024 Concept-Centric Transformers: Enhancing Model Interpretability Through Object-Centric Concept Learning Within a Shared Global Workspace WACV 2024 Concept Over Time Analysis: Unveiling Temporal Patterns for Qualitative Data Analysis NAACL 2024 Conditional Backdoor Attack via JPEG Compression AAAI 2024 Condition-Aware Neural Network for Controlled Image Generation CVPR 2024 Conformal Crystal Graph Transformer with Robust Encoding of Periodic Invariance AAAI 2024 Conformal Inductive Graph Neural Networks ICLR 2024 Conformer-Based Speech Recognition On Extreme Edge-Computing Devices NAACL 2024 Conformer without Convolutions Interspeech 2024 Connecting Joint-Embedding Predictive Architecture with Contrastive Self-supervised Learning NeurIPS 2024 Connecting the Dots: Inferring Patent Phrase Similarity with Retrieved Phrase Graphs NAACL 2024 Connecting the Dots: Is Mode-Connectedness the Key to Feasible Sample-Based Inference in Bayesian Neural Networks? ICML 2024 Consensus Learning with Deep Sets for Essential Matrix Estimation NeurIPS 2024 Considering Nonstationary within Multivariate Time Series with Variational Hierarchical Transformer for Forecasting AAAI 2024 Consistency Training with Learnable Data Augmentation for Graph Anomaly Detection with Limited Supervision ICLR 2024