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Model Architecture

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Papers

Tactile Image-to-Image Disentanglement of Contact Geometry from Motion-Induced Shear CoRL 2021 TALEP at CMCL 2021 Shared Task: Non Linear Combination of Low and High-Level Features for Predicting Eye-Tracking Data NAACL 2021 TAN-NTM: Topic Attention Networks for Neural Topic Modeling ACL 2021 TB-Net: A Three-Stream Boundary-Aware Network for Fine-Grained Pavement Disease Segmentation WACV 2021 Tempered Sigmoid Activations for Deep Learning with Differential Privacy AAAI 2021 Temporal Modulation Network for Controllable Space-Time Video Super-Resolution CVPR 2021 Tensor Normal Training for Deep Learning Models NeurIPS 2021 Terra: Imperative-Symbolic Co-Execution of Imperative Deep Learning Programs NeurIPS 2021 The Heterogeneity Hypothesis: Finding Layer-Wise Differentiated Network Architectures CVPR 2021 The Intrinsic Dimension of Images and Its Impact on Learning ICLR 2021 The Laughing Machine: Predicting Humor in Video WACV 2021 The Neural Tangent Link Between CNN Denoisers and Non-Local Filters CVPR 2021 The Spectrum of Fisher Information of Deep Networks Achieving Dynamical Isometry AISTATS 2021 THOR, Trace-based Hardware-driven Layer-Oriented Natural Gradient Descent Computation AAAI 2021 Tighter Risk Certificates for Neural Networks JMLR 2021 TöRF: Time-of-Flight Radiance Fields for Dynamic Scene View Synthesis NeurIPS 2021 Towards Better Robust Generalization with Shift Consistency Regularization ICML 2021 Towards Certifying L-infinity Robustness using Neural Networks with L-inf-dist Neurons ICML 2021 Towards Efficient Tensor Decomposition-Based DNN Model Compression With Optimization Framework CVPR 2021 Towards Extremely Compact RNNs for Video Recognition With Fully Decomposed Hierarchical Tucker Structure CVPR 2021 Towards Mixed-Precision Quantization of Neural Networks via Constrained Optimization ICCV 2021 Towards Sentiment and Emotion aided Multi-modal Speech Act Classification in Twitter NAACL 2021 Towards Stable and Robust AdderNets NeurIPS 2021 Towards Trustworthy Predictions from Deep Neural Networks with Fast Adversarial Calibration AAAI 2021 Towards Visually Explaining Video Understanding Networks With Perturbation WACV 2021