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Neural Networks

11300 directly classified papers

Papers per year

Papers

Pre-training Neural Transducer-based Streaming Voice Conversion for Faster Convergence and Alignment-free Training INTERSPEECH 2024
Exposing the Deception: Uncovering More Forgery Clues for Deepfake Detection AAAI 2024
FAIR-FER: A Latent Alignment Approach for Mitigating Bias in Facial Expression Recognition (Student Abstract) AAAI 2024
Audio Mamba: Selective State Spaces for Self-Supervised Audio Representations INTERSPEECH 2024
LaMAR: Laplacian Pyramid for Multimodal Adaptive Super Resolution (Student Abstract) AAAI 2024
PARIS: Pseudo-AutoRegressIve Siamese Training for Online Speech Separation INTERSPEECH 2024
IncepSeqNet: Advancing Signal Classification with Multi-Shape Augmentation (Student Abstract) AAAI 2024
Convolutional Spectral Kernel Learning with Generalization Guarantees (Abstract Reprint) AAAI 2024
Quantile-Regression-Ensemble: A Deep Learning Algorithm for Downscaling Extreme Precipitation AAAI 2024
Post-trained Convolution Networks for Single Image Super-resolution (Abstract Reprint) AAAI 2024
How Do Neural Spoofing Countermeasures Detect Partially Spoofed Audio? INTERSPEECH 2024
Exploring Token Pruning in Vision State Space Models NIPS 2024
Structured flexibility in recurrent neural networks via neuromodulation NIPS 2024
Not so griddy: Internal representations of RNNs path integrating more than one agent NIPS 2024
A Pre-convolved Representation for Plug-and-Play Neural Illumination Fields AAAI 2024
DCV2I: A Practical Approach for Supporting Geographers’ Visual Interpretation in Dune Segmentation with Deep Vision Models AAAI 2024
A provable control of sensitivity of neural networks through a direct parameterization of the overall bi-Lipschitzness NIPS 2024
SCTNet: Single-Branch CNN with Transformer Semantic Information for Real-Time Segmentation AAAI 2024
Multiscale Low-Frequency Memory Network for Improved Feature Extraction in Convolutional Neural Networks AAAI 2024
A Recipe for Charge Density Prediction NIPS 2024
Point Deformable Network with Enhanced Normal Embedding for Point Cloud Analysis AAAI 2024
Integrating Plutchik’s Theory with Mixture of Experts for Enhancing Emotion Classification EMNLP 2024
A differentiable first-order rule learner for inductive logic programming (Abstract Reprint) IJCAI 2024
NeuralSolver: Learning Algorithms For Consistent and Efficient Extrapolation Across General Tasks NIPS 2024
Groningen Team A at SemEval-2024 Task 8: Human/Machine Authorship Attribution Using a Combination of Probabilistic and Linguistic Features SEMEVAL 2024