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Architectures

30,950 papers (33 classified directly here)

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Papers (including subtopics)

Better Neural PDE Solvers Through Data-Free Mesh Movers ICLR 2024 BEVNeXt: Reviving Dense BEV Frameworks for 3D Object Detection CVPR 2024 Beyond Binary: Multiclass Paraphasia Detection with Generative Pretrained Transformers and End-to-End Models Interspeech 2024 Beyond Euclidean: Dual-Space Representation Learning for Weakly Supervised Video Violence Detection NeurIPS 2024 Beyond Individual Input for Deep Anomaly Detection on Tabular Data ICML 2024 Beyond Label Attention: Transparency in Language Models for Automated Medical Coding via Dictionary Learning EMNLP 2024 Beyond OOD State Actions: Supported Cross-Domain Offline Reinforcement Learning AAAI 2024 Beyond Prompt Learning: Continual Adapter for Efficient Rehearsal-Free Continual Learning ECCV 2024 Beyond Redundancy: Information-aware Unsupervised Multiplex Graph Structure Learning NeurIPS 2024 Beyond Self-Attention: Deformable Large Kernel Attention for Medical Image Segmentation WACV 2024 Beyond Slow Signs in High-fidelity Model Extraction NeurIPS 2024 Beyond SOT: Tracking Multiple Generic Objects at Once WACV 2024 Beyond Spatio-Temporal Representations: Evolving Fourier Transform for Temporal Graphs ICLR 2024 Beyond the Doors of Perception: Vision Transformers Represent Relations Between Objects NeurIPS 2024 Beyond the Federation: Topology-aware Federated Learning for Generalization to Unseen Clients ICML 2024 Beyond the Limits: A Survey of Techniques to Extend the Context Length in Large Language Models IJCAI 2024 Beyond the Surface: Spurious Cues in Automatic Media Bias Detection EACL 2024 BeyondVision: An EMG-driven Micro Hand Gesture Recognition Based on Dynamic Segmentation IJCAI 2024 Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness ICLR 2024 Bezier Everywhere All at Once: Learning Drivable Lanes as Bezier Graphs CVPR 2024 Biased Temporal Convolution Graph Network for Time Series Forecasting with Missing Values ICLR 2024 Bias of Stochastic Gradient Descent or the Architecture: Disentangling the Effects of Overparameterization of Neural Networks ICML 2024 Bidirectional Autoregessive Diffusion Model for Dance Generation CVPR 2024 Bidirectional Generative Pre-training for Improving Healthcare Time-series Representation Learning MLHC 2024 Bidirectional Multi-Scale Implicit Neural Representations for Image Deraining CVPR 2024