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Deep Learning

1397 directly classified papers

Papers per year

Papers

Dive into the Chasm: Probing the Gap between In- and Cross-Topic Generalization EACL 2024
The good, the bad and the ugly sides of data augmentation: An implicit spectral regularization perspective JMLR 2024
Nonasymptotic analysis of Stochastic Gradient Hamiltonian Monte Carlo under local conditions for nonconvex optimization JMLR 2024
AutoPSV: Automated Process-Supervised Verifier NIPS 2024
Get rich quick: exact solutions reveal how unbalanced initializations promote rapid feature learning NIPS 2024
Automatic Annotation Elaboration as Feedback to Sign Language Learners EACL 2024
Weighted Layer Averaging RoBERTa for Black-Box Machine-Generated Text Detection SEMEVAL 2024
Mast Kalandar at SemEval-2024 Task 8: On the Trail of Textual Origins: RoBERTa-BiLSTM Approach to Detect AI-Generated Text SEMEVAL 2024
Circuit Design and Efficient Simulation of Quantum Inner Product and Empirical Studies of Its Effect on Near-Term Hybrid Quantum-Classic Machine Learning CVPR 2024
Generalization and Stability of Interpolating Neural Networks with Minimal Width JMLR 2024
Nuclear Fusion Diamond Polishing Dataset NIPS 2024
Credal Deep Ensembles for Uncertainty Quantification NIPS 2024
SARAD: Spatial Association-Aware Anomaly Detection and Diagnosis for Multivariate Time Series NIPS 2024
Satformer: Accurate and Robust Traffic Data Estimation for Satellite Networks NIPS 2024
DOFEN: Deep Oblivious Forest ENsemble NIPS 2024
DASH: Warm-Starting Neural Network Training in Stationary Settings without Loss of Plasticity NIPS 2024
Building a corpus for the anonymization of Romanian jurisprudence EACL 2024
SEL-BALD: Deep Bayesian Active Learning with Selective Labels NIPS 2024
NoisyGL: A Comprehensive Benchmark for Graph Neural Networks under Label Noise NIPS 2024
Neural Network Reparametrization for Accelerated Optimization in Molecular Simulations NIPS 2024
Interpretable Mesomorphic Networks for Tabular Data NIPS 2024
ICE-Score: Instructing Large Language Models to Evaluate Code EACL 2024
Frequency Adaptive Normalization For Non-stationary Time Series Forecasting NIPS 2024
Equivariant Neural Diffusion for Molecule Generation NIPS 2024
A Layer-Wise Natural Gradient Optimizer for Training Deep Neural Networks NIPS 2024