Neural Network Optimization

Enhancing NeRF akin to Enhancing LLMs: Generalizable NeRF Transformer with Mixture-of-View-Experts ICCV 2023 EPISODE: Episodic Gradient Clipping with Periodic Resampled Corrections for Federated Learning with Heterogeneous Data ICLR 2023 Equilibrium Point Learning ACML 2023 Estimator Meets Equilibrium Perspective: A Rectified Straight Through Estimator for Binary Neural Networks Training ICCV 2023 Evolutionary Neural Architecture Search for Multivariate Time Series Forecasting ACML 2023 Evolutionary Neural Architecture Search for Transformer in Knowledge Tracing NeurIPS 2023 Exact Gradient Computation for Spiking Neural Networks via Forward Propagation AISTATS 2023 Expected Gradients of Maxout Networks and Consequences to Parameter Initialization ICML 2023 Explicit Regularization in Overparametrized Models via Noise Injection AISTATS 2023 Exploiting Connections between Lipschitz Structures for Certifiably Robust Deep Equilibrium Models NeurIPS 2023 Exploring the Sensitivity of LLMs’ Decision-Making Capabilities: Insights from Prompt Variations and Hyperparameters EMNLP 2023 Extensible and Efficient Proxy for Neural Architecture Search ICCV 2023 Fast Adversarial Training with Smooth Convergence ICCV 2023 Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding EMNLP 2023 Fast Convergence in Learning Two-Layer Neural Networks with Separable Data AAAI 2023 Fast Saturating Gate for Learning Long Time Scales with Recurrent Neural Networks AAAI 2023 FBLNet: FeedBack Loop Network for Driver Attention Prediction ICCV 2023 Feature learning in deep classifiers through Intermediate Neural Collapse ICML 2023 Feature-Learning Networks Are Consistent Across Widths At Realistic Scales NeurIPS 2023 Feature learning via mean-field Langevin dynamics: classifying sparse parities and beyond NeurIPS 2023 Fed-LAMB: Layer-wise and Dimension-wise Locally Adaptive Federated Learning UAI 2023 Few-bit Backward: Quantized Gradients of Activation Functions for Memory Footprint Reduction ICML 2023 FIANCEE: Faster Inference of Adversarial Networks via Conditional Early Exits CVPR 2023 Finding the Pillars of Strength for Multi-Head Attention ACL 2023 Fine-tuning Happens in Tiny Subspaces: Exploring Intrinsic Task-specific Subspaces of Pre-trained Language Models ACL 2023