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recurrent neural network

1,907 papers

RNN

Papers

Is attention required for ICL? Exploring the Relationship Between Model Architecture and In-Context Learning Ability ICLR 2024 iTrendRNN: An Interpretable Trend-Aware RNN for Meteorological Spatiotemporal Prediction AAAI 2024 KEC_HAWKS@DravidianLangTech 2024 : Detecting Malayalam Fake News using Machine Learning Models EACL 2024 Lacuna Language Learning: Leveraging RNNs for Ranked Text Completion in Digitized Coptic Manuscripts ACL 2024 Learning Bidirectional Morphological Inflection like Humans COLING 2024 Learning flow functions of spiking systems L4DC 2024 Learning Hybrid Dynamics Models with Simulator-Informed Latent States AAAI 2024 Learning interpretable control inputs and dynamics underlying animal locomotion ICLR 2024 Learning locally interacting discrete dynamical systems: Towards data-efficient and scalable prediction L4DC 2024 Learning Residual Elastic Warps for Image Stitching Under Dirichlet Boundary Condition WACV 2024 Length independent PAC-Bayes bounds for Simple RNNs AISTATS 2024 Leveraging Low-Rank and Sparse Recurrent Connectivity for Robust Closed-Loop Control ICLR 2024 Lower Bounds on the Expressivity of Recurrent Neural Language Models NAACL 2024 Memory of recurrent networks: Do we compute it right? JMLR 2024 MemoryPrompt: A Light Wrapper to Improve Context Tracking in Pre-trained Language Models COLING 2024 Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy NeurIPS 2024 Modeling Bilingual Sentence Processing: Evaluating RNN and Transformer Architectures for Cross-Language Structural Priming EMNLP 2024 MSA-DPCRN: A Multi-Scale Asymmetric Dual-Path Convolution Recurrent Network with Attentional Feature Fusion for Acoustic Echo Cancellation Interspeech 2024 NeuralSolver: Learning Algorithms For Consistent and Efficient Extrapolation Across General Tasks NeurIPS 2024 Non-convolutional graph neural networks. NeurIPS 2024 Non-Euclidean Monotone Operator Theory and Applications JMLR 2024 Not so griddy: Internal representations of RNNs path integrating more than one agent NeurIPS 2024 On Efficiently Representing Regular Languages as RNNs ACL 2024 On learning history-based policies for controlling Markov decision processes AISTATS 2024 On the Expressivity of Recurrent Neural Cascades AAAI 2024