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Architectures

30,950 papers (33 classified directly here)

27
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3,004
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Papers (including subtopics)

UDC: A Unified Neural Divide-and-Conquer Framework for Large-Scale Combinatorial Optimization Problems NeurIPS 2024 U-DiTs: Downsample Tokens in U-Shaped Diffusion Transformers NeurIPS 2024 UDParse @ SIGTYP 2024 Shared Task : Modern Language Models for Historical Languages EACL 2024 ÚFAL LatinPipe at EvaLatin 2024: Morphosyntactic Analysis of Latin COLING 2024 UFORecon: Generalizable Sparse-View Surface Reconstruction from Arbitrary and Unfavorable Sets CVPR 2024 UGC: Universal Graph Coarsening NeurIPS 2024 UltraSparseBERT: 99% Conditionally Sparse Language Modelling ACL 2024 U-Mixer: An Unet-Mixer Architecture with Stationarity Correction for Time Series Forecasting AAAI 2024 UMTIT: Unifying Recognition, Translation, and Generation for Multimodal Text Image Translation COLING 2024 UMUTeam at SemEval-2024 Task 8: Combining Transformers and Syntax Features for Machine-Generated Text Detection SemEval 2024 Uncertainty-aware Action Decoupling Transformer for Action Anticipation CVPR 2024 Uncertainty-aware Continuous Implicit Neural Representations for Remote Sensing Object Counting AISTATS 2024 Uncertainty-aware Graph-based Hyperspectral Image Classification ICLR 2024 Uncertainty-Aware Yield Prediction with Multimodal Molecular Features AAAI 2024 Uncertainty for Active Learning on Graphs ICML 2024 Unchosen Experts Can Contribute Too: Unleashing MoE Models’ Power by Self-Contrast NeurIPS 2024 Unconditional stability of a recurrent neural circuit implementing divisive normalization NeurIPS 2024 Uncovering Syllable Constituents in the Self-Attention-Based Speech Representations of Whisper EMNLP 2024 Uncovering the Handwritten Text in the Margins: End-to-end Handwritten Text Detection and Recognition EACL 2024 Uncovering the Redundancy in Graph Self-supervised Learning Models NeurIPS 2024 Understanding Addition in Transformers ICLR 2024 Understanding and Improving Optimization in Predictive Coding Networks AAAI 2024 Understanding and Leveraging the Learning Phases of Neural Networks AAAI 2024 Understanding and Minimising Outlier Features in Transformer Training NeurIPS 2024 Understanding Bias in Large-Scale Visual Datasets NeurIPS 2024