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Neural Networks

629 directly classified papers

Papers per year

Papers

DeRF: Decomposed Radiance Fields CVPR 2021
Video Rescaling Networks With Joint Optimization Strategies for Downscaling and Upscaling CVPR 2021
Activate or Not: Learning Customized Activation CVPR 2021
Memory-Efficient Network for Large-Scale Video Compressive Sensing CVPR 2021
Truth-Conditional Captions for Time Series Data EMNLP 2021
Learn to Copy from the Copying History: Correlational Copy Network for Abstractive Summarization EMNLP 2021
Plan-then-Generate: Controlled Data-to-Text Generation via Planning EMNLP 2021
Understanding Mention Detector-Linker Interaction in Neural Coreference Resolution EMNLP 2021
Large-Scale Wasserstein Gradient Flows NIPS 2021
Fitting summary statistics of neural data with a differentiable spiking network simulator NIPS 2021
Model, sample, and epoch-wise descents: exact solution of gradient flow in the random feature model NIPS 2021
NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction NIPS 2021
Neural Sparse Voxel Fields NIPS 2020
Variational Learning of Bayesian Neural Networks via Bayesian Dark Knowledge IJCAI 2020
PeTra: A Sparsely Supervised Memory Model for People Tracking ACL 2020
Inference-only sub-character decomposition improves translation of unseen logographic characters AACL 2020
Handling Black Swan Events in Deep Learning with Diversely Extrapolated Neural Networks IJCAI 2020
Label-Aware Neural Tangent Kernel: Toward Better Generalization and Local Elasticity NIPS 2020
Orderless Recurrent Models for Multi-Label Classification CVPR 2020
From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture Quality CVPR 2020
Differentiable Volumetric Rendering: Learning Implicit 3D Representations Without 3D Supervision CVPR 2020
Learning Rank-1 Diffractive Optics for Single-Shot High Dynamic Range Imaging CVPR 2020
Supervised Learning with Background Knowledge PGM 2020
Learning the Geometry of Wave-Based Imaging NIPS 2020
Coding Textual Inputs Boosts the Accuracy of Neural Networks EMNLP 2020