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

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74

94

221

536

912

1,611

2,559

3,004

3,504

3,729

4,021

4,550

4,519

1,439

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Papers (including subtopics)

From Faces to Voices: Learning Hierarchical Representations for High-quality Video-to-Speech CVPR 2025 From Fairness to Infinity: Outcome-Indistinguishable (Omni)Prediction in Evolving Graphs COLT 2025 From GNNs to Trees: Multi-Granular Interpretability for Graph Neural Networks ICLR 2025 From Isolates to Families: Using Neural Networks for Automated Language Affiliation ACL 2025 From KAN to GR-KAN: Advancing Speech Enhancement with KAN-Based Methodology Interspeech 2025 From Kernels to Features: A Multi-Scale Adaptive Theory of Feature Learning ICML 2025 From Layers to States: A State Space Model Perspective to Deep Neural Network Layer Dynamics ICLR 2025 From Linearity to Non-Linearity: How Masked Autoencoders Capture Spatial Correlations ICCV 2025 From Prototypes to General Distributions: An Efficient Curriculum for Masked Image Modeling CVPR 2025 From RAG to Reality: Coarse-Grained Hallucination Detection via NLI Fine-Tuning ACL 2025 From Redundancy to Relevance: Information Flow in LVLMs Across Reasoning Tasks NAACL 2025 From Scarcity to Capability: Empowering Fake News Detection in Low-Resource Languages with LLMs COLING 2025 From Scratch to Fine-Tuned: A Comparative Study of Transformer Training Strategies for Legal Machine Translation AACL 2025 From Specific-MLLMs to Omni-MLLMs: A Survey on MLLMs Aligned with Multi-modalities ACL 2025 From Theory to Practice: Rethinking Green and Martin Kernels for Unleashing Graph Transformers ICML 2025 From Weight-Based to State-Based Fine-Tuning: Further Memory Reduction on LoRA with Parallel Control ICML 2025 From Zero to Detail: Deconstructing Ultra-High-Definition Image Restoration from Progressive Spectral Perspective CVPR 2025 Frozen Layers: Memory-efficient Many-fidelity Hyperparameter Optimization AutoML 2025 FS-DAG: Few Shot Domain Adapting Graph Networks for Visually Rich Document Understanding COLING 2025 FSHNet: Fully Sparse Hybrid Network for 3D Object Detection CVPR 2025 FSTA-SNN:Frequency-Based Spatial-Temporal Attention Module for Spiking Neural Networks AAAI 2025 FullDiT: Video Generative Foundation Models with Multimodal Control via Full Attention ICCV 2025 Fully End-to-end Streaming Open-vocabulary Keyword Spotting with W-CTC Forced Alignment Interspeech 2025 Fully-inductive Node Classification on Arbitrary Graphs ICLR 2025 Functional Connectivity and Hilbert-Based Features for Covert Speech EEG Variability Analysis and Classification Interspeech 2025