Model Architecture

AutoKeras: An AutoML Library for Deep Learning JMLR 2023 Automatic Attention Pruning: Improving and Automating Model Pruning using Attentions AISTATS 2023 AutoML for NLP EACL 2023 Balanced Column-Wise Block Pruning for Maximizing GPU Parallelism AAAI 2023 BALTO: fast tensor program optimization with diversity-based active learning ICLR 2023 Beam Tree Recursive Cells ICML 2023 Better Loss Landscape Visualization for Deep Neural Networks with Trajectory Information ACML 2023 Beyond Layout Embedding: Layout Attention with Gaussian Biases for Structured Document Understanding EMNLP 2023 Beyond Lipschitz Smoothness: A Tighter Analysis for Nonconvex Optimization ICML 2023 Beyond NaN: Resiliency of Optimization Layers in the Face of Infeasibility AAAI 2023 BiasBed - Rigorous Texture Bias Evaluation CVPR 2023 Bias in Pruned Vision Models: In-Depth Analysis and Countermeasures CVPR 2023 Bidirectionally Deformable Motion Modulation For Video-based Human Pose Transfer ICCV 2023 Bi-directional Masks for Efficient N:M Sparse Training ICML 2023 BigVGAN: A Universal Neural Vocoder with Large-Scale Training ICLR 2023 Binarized Spectral Compressive Imaging NeurIPS 2023 Binaural Sound Localization in Noisy Environments Using Frequency-Based Audio Vision Transformer (FAViT) Interspeech 2023 Bit Allocation using Optimization ICML 2023 Bit-Pruning: A Sparse Multiplication-Less Dot-Product ICLR 2023 Bit-Shrinking: Limiting Instantaneous Sharpness for Improving Post-Training Quantization CVPR 2023 Bitstream-Corrupted JPEG Images Are Restorable: Two-Stage Compensation and Alignment Framework for Image Restoration CVPR 2023 Black-Box Tuning of Vision-Language Models with Effective Gradient Approximation EMNLP 2023 Block and Subword-Scaling Floating-Point (BSFP) : An Efficient Non-Uniform Quantization For Low Precision Inference ICLR 2023 Blurred-Dilated Method for Adversarial Attacks NeurIPS 2023 Boosted Dynamic Neural Networks AAAI 2023