Transformers

TSP-Transformer: Task-Specific Prompts Boosted Transformer for Holistic Scene Understanding WACV 2024 TueCICL at SemEval-2024 Task 8: Resource-efficient approaches for machine-generated text detection SemEval 2024 TULIP: Transformer for Upsampling of LiDAR Point Clouds CVPR 2024 Twin-Merging: Dynamic Integration of Modular Expertise in Model Merging NeurIPS 2024 Two Approaches to Diachronic Normalization of Polish Texts EACL 2024 Two Issues with Chinese Spelling Correction and A Refinement Solution ACL 2024 Two Stones Hit One Bird: Bilevel Positional Encoding for Better Length Extrapolation ICML 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 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 Yield Prediction with Multimodal Molecular Features AAAI 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 Understanding Addition in Transformers ICLR 2024 Understanding and Minimising Outlier Features in Transformer Training NeurIPS 2024 Understanding Cross-Lingual Alignment—A Survey ACL 2024 Understanding Hyperbolic Metric Learning Through Hard Negative Sampling WACV 2024 Understanding Scaling Laws with Statistical and Approximation Theory for Transformer Neural Networks on Intrinsically Low-dimensional Data NeurIPS 2024 Understanding the Differences in Foundation Models: Attention, State Space Models, and Recurrent Neural Networks NeurIPS 2024