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Model Architecture

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Papers

Hyena Hierarchy: Towards Larger Convolutional Language Models ICML 2023 HyPe: Better Pre-trained Language Model Fine-tuning with Hidden Representation Perturbation ACL 2023 Hyperblock Floating Point: Generalised Quantization Scheme for Gradient and Inference Computation WACV 2023 Hypernetwork-based Meta-Learning for Low-Rank Physics-Informed Neural Networks NeurIPS 2023 HyperPosePDF - Hypernetworks Predicting the Probability Distribution on SO(3) WACV 2023 Hyperspherical Quantization: Toward Smaller and More Accurate Models WACV 2023 Idempotent Learned Image Compression with Right-Inverse NeurIPS 2023 IIEU: Rethinking Neural Feature Activation from Decision-Making ICCV 2023 Implicit Convolutional Kernels for Steerable CNNs NeurIPS 2023 Implicit Memory Transformer for Computationally Efficient Simultaneous Speech Translation ACL 2023 Implicit Stochastic Gradient Descent for Training Physics-Informed Neural Networks AAAI 2023 Improving Consistency for Text Summarization with Energy Functions EMNLP 2023 Improving Deep Regression with Ordinal Entropy ICLR 2023 Improving Dynamic HDR Imaging with Fusion Transformer AAAI 2023 Improving Gradient Computation for Differentiable Physics Simulation with Contacts L4DC 2023 Improving Robotic Tactile Localization Super-resolution via Spatiotemporal Continuity Learning and Overlapping Air Chambers AAAI 2023 Improving Table Structure Recognition With Visual-Alignment Sequential Coordinate Modeling CVPR 2023 Improving Visual Prompt Tuning for Self-supervised Vision Transformers ICML 2023 InfoCD: A Contrastive Chamfer Distance Loss for Point Cloud Completion NeurIPS 2023 Information Magnitude Based Dynamic Sub-sampling for Speech-to-text Interspeech 2023 In-Hand 3D Object Scanning From an RGB Sequence CVPR 2023 Inherently Interpretable Multi-Label Classification Using Class-Specific Counterfactuals MIDL 2023 Inherent Redundancy in Spiking Neural Networks ICCV 2023 INO: Invariant Neural Operators for Learning Complex Physical Systems with Momentum Conservation AISTATS 2023 Input uncertainty propagation through trained neural networks ICML 2023