{"total":27,"rows":[{"id":"2412.06464","title":"Gated Delta Networks: Improving Mamba2 with Delta Rule","created":"2024-12-09","cited_by_count":532,"area":null},{"id":"2404.07904","title":"HGRN2: Gated Linear RNNs with State Expansion","created":"2024-04-11","cited_by_count":127,"area":null},{"id":"2311.04823","title":"Hierarchically Gated Recurrent Neural Network for Sequence Modeling","created":"2023-11-08","cited_by_count":102,"area":null},{"id":"2501.12352","title":"Test-time regression: a unifying framework for designing sequence models with associative memory","created":"2025-01-21","cited_by_count":74,"area":null},{"id":"2101.09336","title":"A Comprehensive Survey on Hardware-Aware Neural Architecture Search","created":"2021-01-22","cited_by_count":61,"area":null},{"id":"2503.02130","title":"Forgetting Transformer: Softmax Attention with a Forget Gate","created":"2025-03-03","cited_by_count":53,"area":null},{"id":"2506.05233","title":"MesaNet: Sequence Modeling by Locally Optimal Test-Time Training","created":"2025-06-05","cited_by_count":47,"area":null},{"id":"2508.15884","title":"Jet-Nemotron: Efficient Language Model with Post Neural Architecture Search","created":"2025-08-21","cited_by_count":41,"area":null},{"id":"2110.07034","title":"How Does Momentum Benefit Deep Neural Networks Architecture Design? A Few Case Studies","created":"2021-10-13","cited_by_count":10,"area":null},{"id":"2105.05944","title":"Slower is Better: Revisiting the Forgetting Mechanism in LSTM for Slower Information Decay","created":"2021-05-12","cited_by_count":7,"area":null},{"id":"2401.08318","title":"OpenDPD: An Open-Source End-to-End Learning & Benchmarking Framework for Wideband Power Amplifier Modeling and Digital Pre-Distortion","created":"2024-01-16","cited_by_count":7,"area":null},{"id":"2410.06577","title":"Rodimus*: Breaking the Accuracy-Efficiency Trade-Off with Efficient Attentions","created":"2024-10-09","cited_by_count":6,"area":null},{"id":"2111.03282","title":"Recurrent Neural Networks for Learning Long-term Temporal Dependencies with Reanalysis of Time Scale Representation","created":"2021-11-05","cited_by_count":4,"area":null},{"id":"2106.01001","title":"Warming up recurrent neural networks to maximise reachable multistability greatly improves learning","created":"2021-06-02","cited_by_count":3,"area":null},{"id":"2101.04283","title":"A Brief Survey of Associations Between Meta-Learning and General AI","created":"2021-01-12","cited_by_count":2,"area":null},{"id":"2108.13055","title":"Efficient Visual Recognition with Deep Neural Networks: A Survey on Recent Advances and New Directions","created":"2021-08-30","cited_by_count":2,"area":null},{"id":"2109.13090","title":"Oscillatory Fourier Neural Network: A Compact and Efficient Architecture for Sequential Processing","created":"2021-09-14","cited_by_count":2,"area":null},{"id":"2508.12121","title":"Time-Scale Coupling Between States and Parameters in Recurrent Neural Networks","created":"2025-08-16","cited_by_count":2,"area":null},{"id":"2108.00527","title":"Gates Are Not What You Need in RNNs","created":"2021-08-01","cited_by_count":1,"area":null},{"id":"2302.12856","title":"Machine Learning based prediction of Glucose Levels in Type 1 Diabetes Patients with the use of Continuous Glucose Monitoring Data","created":"2023-02-24","cited_by_count":1,"area":null},{"id":"2505.06250","title":"DeltaDPD: Exploiting Dynamic Temporal Sparsity in Recurrent Neural Networks for Energy-Efficient Wideband Digital Predistortion","created":"2025-04-29","cited_by_count":1,"area":null},{"id":"2506.11305","title":"Don't Pay Attention","created":"2025-06-12","cited_by_count":1,"area":null},{"id":"2510.01213","title":"JaneEye: A 12-nm 2K-FPS 18.9-$\\mu$J/Frame Event-based Eye Tracking Accelerator","created":"2025-09-18","cited_by_count":1,"area":null},{"id":"2604.27063","title":"Learning to Forget: Continual Learning with Adaptive Weight Decay","created":"2026-04-29","cited_by_count":1,"area":null},{"id":"2208.03473","title":"Learning Human Cognitive Appraisal Through Reinforcement Memory Unit","created":"2022-08-06","cited_by_count":0,"area":null},{"id":"2210.01348","title":"Fast Saturating Gate for Learning Long Time Scales with Recurrent Neural Networks","created":"2022-10-04","cited_by_count":0,"area":null},{"id":"2211.12715","title":"Embedding Compression for Text Classification Using Dictionary Screening","created":"2022-11-23","cited_by_count":0,"area":null}],"next_cursor":null}