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Neural Networks

11300 directly classified papers

Papers per year

Papers

byteSizedLLM@DravidianLangTech 2024: Fake News Detection in Dravidian Languages - Unleashing the Power of Custom Subword Tokenization with Subword2Vec and BiLSTM EACL 2024
Sig-Networks Toolkit: Signature Networks for Longitudinal Language Modelling EACL 2024
Untrained Neural Nets for Snapshot Compressive Imaging: Theory and Algorithms NIPS 2024
KEC_HAWKS@DravidianLangTech 2024 : Detecting Malayalam Fake News using Machine Learning Models EACL 2024
Uncovering the Handwritten Text in the Margins: End-to-end Handwritten Text Detection and Recognition EACL 2024
Understanding the Generalization Benefits of Late Learning Rate Decay AISTATS 2024
TECHSSN at SemEval-2024 Task 10: LSTM-based Approach for Emotion Detection in Multilingual Code-Mixed Conversations SEMEVAL 2024
Nonlinear spiked covariance matrices and signal propagation in deep neural networks COLT 2024
Infusing Self-Consistency into Density Functional Theory Hamiltonian Prediction via Deep Equilibrium Models NIPS 2024
Construction of a Multiple-DOF Underactuated Gripper with Force-Sensing via Deep Learning RSS 2024
TueSents at SemEval-2024 Task 8: Predicting the Shift from Human Authorship to Machine-generated Output in a Mixed Text SEMEVAL 2024
Harmonics of Learning: Universal Fourier Features Emerge in Invariant Networks COLT 2024
Topological Expressivity of ReLU Neural Networks COLT 2024
Learning sum of diverse features: computational hardness and efficient gradient-based training for ridge combinations COLT 2024
A deep learning approach for distributed aggregative optimization with users’ Feedback L4DC 2024
Improving Equivariant Model Training via Constraint Relaxation NIPS 2024
NN-Defined Modulator: Reconfigurable and Portable Software Modulator on IoT Gateways NSDI 2024
Depth Separation in Norm-Bounded Infinite-Width Neural Networks COLT 2024
Localization vs. Semantics: Visual Representations in Unimodal and Multimodal Models EACL 2024
Towards bio-inspired control of aerial vehicle: Distributed aerodynamic parameters for state prediction L4DC 2024
System-level safety guard: Safe tracking control through uncertain neural network dynamics models L4DC 2024
PlanNetX: Learning an efficient neural network planner from MPC for longitudinal control L4DC 2024
Verification of neural reachable tubes via scenario optimization and conformal prediction L4DC 2024
Generalizing CNNs to graphs with learnable neighborhood quantization NIPS 2024
Mixing classifiers to alleviate the accuracy-robustness trade-off L4DC 2024