Co-occurring keywords · papers mentioning both
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