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Neural Network Optimization

3648 directly classified papers

Papers per year

Papers

Activating Self-Attention for Multi-Scene Absolute Pose Regression NIPS 2024
Local to Global: Learning Dynamics and Effect of Initialization for Transformers NIPS 2024
Ordered Momentum for Asynchronous SGD NIPS 2024
Counter-Current Learning: A Biologically Plausible Dual Network Approach for Deep Learning NIPS 2024
Learning to Warm-Start Fixed-Point Optimization Algorithms JMLR 2024
Enhancing Distantly Supervised Named Entity Recognition with Strong Label Guided Lottery Training COLING 2024
Deep Learning for Computing Convergence Rates of Markov Chains NIPS 2024
Improving Neural Network Generalization on Data-Limited Regression with Doubly-Robust Boosting AAAI 2024
Layer-Wise Representation Fusion for Compositional Generalization AAAI 2024
The Impact of Depth on Compositional Generalization in Transformer Language Models NAACL 2024
Dynamic Neural Regeneration: Enhancing Deep Learning Generalization on Small Datasets NIPS 2024
How Two-Layer Neural Networks Learn, One (Giant) Step at a Time JMLR 2024
On Convergence of Adam for Stochastic Optimization under Relaxed Assumptions NIPS 2024
Neural Network Approximation for Pessimistic Offline Reinforcement Learning AAAI 2024
Linear Transformers are Versatile In-Context Learners NIPS 2024
DSD²: Can We Dodge Sparse Double Descent and Compress the Neural Network Worry-Free? AAAI 2024
Exponential Hardness of Optimization from the Locality in Quantum Neural Networks AAAI 2024
Slicing Vision Transformer for Flexible Inference NIPS 2024
Understanding and Leveraging the Learning Phases of Neural Networks AAAI 2024
Explicit Eigenvalue Regularization Improves Sharpness-Aware Minimization NIPS 2024
PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion AAAI 2024
United We Stand: Using Epoch-Wise Agreement of Ensembles to Combat Overfit AAAI 2024
Why Do We Need Weight Decay in Modern Deep Learning? NIPS 2024
On Improving Error Resilience of Neural End-to-End Speech Coders INTERSPEECH 2024
Towards Explainable Monaural Speaker Separation with Auditory-based Training INTERSPEECH 2024