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Recurrent Neural Networks

675 papers

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Papers

Reconstruction of the Complete Vocal Tract Contour Through Acoustic to Articulatory Inversion Using Real-Time MRI Data Interspeech 2025 Recurrent Neural Goodness-of-Fit Test for Time Series AISTATS 2025 RNNs are not Transformers (Yet): The Key Bottleneck on In-Context Retrieval ICLR 2025 Scaling up the State Size of RNN LLMs for Long-Context Scenarios ACL 2025 Speaker Separation for an Unknown Number of Speakers with Encoder-Decoder-Based Contextual Information Module Interspeech 2025 SpecTokenizer: A Lightweight Streaming Codec in the Compressed Spectrum Domain Interspeech 2025 SupraDoRAL: Automatic Word Prominence Detection Using Suprasegmental Dependencies of Representations with Acoustic and Linguistic Context Interspeech 2025 SyntaxMind at SemEval-2025 Task 11: BERT Base Multi-label Emotion Detection Using Gated Recurrent Unit SemEval 2025 Universality of Real Minimal Complexity Reservoir AAAI 2025 Unlocking the Power of LSTM for Long Term Time Series Forecasting AAAI 2025 xLSTM-SENet: xLSTM for Single-Channel Speech Enhancement Interspeech 2025 You Shall Know a Word’s Difficulty by the Family It Keeps: Word Family Features in Personalised Word Difficulty Classifiers for L2 Spanish ACL 2025 Adaptive neural network based control approach for building energy control under changing environmental conditions L4DC 2024 Almost-Linear RNNs Yield Highly Interpretable Symbolic Codes in Dynamical Systems Reconstruction NeurIPS 2024 Controlled maximal variability along with reliable performance in recurrent neural networks NeurIPS 2024 Efficient Recurrent Off-Policy RL Requires a Context-Encoder-Specific Learning Rate NeurIPS 2024 GRU-M: A Joint Impute and Learn Approach for Sequential Prediction under Missing Data ACML 2024 LMUFormer: Low Complexity Yet Powerful Spiking Model With Legendre Memory Units ICLR 2024 Not so griddy: Internal representations of RNNs path integrating more than one agent NeurIPS 2024 PGN: The RNN's New Successor is Effective for Long-Range Time Series Forecasting NeurIPS 2024 Power Grid Anomaly Detection via Hybrid LSTM-GIN Model (Student Abstract) AAAI 2024 Quantum Recurrent Architectures for Text Classification EMNLP 2024 RTFS-Net: Recurrent Time-Frequency Modelling for Efficient Audio-Visual Speech Separation ICLR 2024 Sampling-Resilient Multi-Object Tracking AAAI 2024 Scaling Laws for Linear Complexity Language Models EMNLP 2024