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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15

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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

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Papers (including subtopics)

Boosting Generative Adversarial Transferability with Self-supervised Vision Transformer Features ICCV 2025 Boosting Image De-Raining via Central-Surrounding Synergistic Convolution AAAI 2025 Boosting Latent Diffusion with Perceptual Objectives ICLR 2025 Boosting Multi-modal Keyphrase Prediction with Dynamic Chain-of-Thought in Vision-Language Models EMNLP 2025 Boosting Neural Combinatorial Optimization for Large-Scale Vehicle Routing Problems ICLR 2025 Boosting Protein Graph Representations through Static-Dynamic Fusion ICML 2025 Boosting the visual interpretability of CLIP via adversarial fine-tuning ICLR 2025 Boosting Vision State Space Model with Fractal Scanning AAAI 2025 Boosting ViT-based MRI Reconstruction from the Perspectives of Frequency Modulation, Spatial Purification, and Scale Diversification AAAI 2025 BOOTPLACE: Bootstrapped Object Placement with Detection Transformers CVPR 2025 Bootstrapping Heterogeneous Graph Representation Learning via Large Language Models: A Generalized Approach AAAI 2025 BP-Modified Local Loss for Efficient Training of Deep Neural Networks ICLR 2025 BRACU_CL at BLP-2025 Task 2: CodeMist: A Transformer-Based Framework for Bangla Instruction-to-Code Generation AACL 2025 BRAID: Input-driven Nonlinear Dynamical Modeling of Neural-Behavioral Data ICLR 2025 Brain-inspired L_p-Convolution benefits large kernels and aligns better with visual cortex ICLR 2025 Brain-Inspired Spiking Neural Networks for Energy-Efficient Object Detection CVPR 2025 Brain-Inspired Stepwise Patch Merging for Vision Transformers IJCAI 2025 BrainMAP: Learning Multiple Activation Pathways in Brain Networks AAAI 2025 Brain Mapping with Dense Features: Grounding Cortical Semantic Selectivity in Natural Images With Vision Transformers ICLR 2025 BrainOOD: Out-of-distribution Generalizable Brain Network Analysis ICLR 2025 Breaking Bad Tokens: Detoxification of LLMs Using Sparse Autoencoders EMNLP 2025 Breaking Free from MMI: A New Frontier in Rationalization by Probing Input Utilization ICLR 2025 Breaking Grid Constraints: Dynamic Graph Reconstruction Network for Multi-organ Segmentation ICCV 2025 Breaking Information Isolation: Accelerating MRI via Inter-sequence Mapping and Progressive Masking AAAI 2025 Breaking Neural Network Scaling Laws with Modularity ICLR 2025