Optimization & Theory

FracBits: Mixed Precision Quantization via Fractional Bit-Widths AAAI 2021 Fractal Structure and Generalization Properties of Stochastic Optimization Algorithms NeurIPS 2021 FrameExit: Conditional Early Exiting for Efficient Video Recognition CVPR 2021 Frivolous Units: Wider Networks Are Not Really That Wide AAAI 2021 From Label Smoothing to Label Relaxation AAAI 2021 FVC: A New Framework Towards Deep Video Compression in Feature Space CVPR 2021 General Instance Distillation for Object Detection CVPR 2021 Generalization in NLI: Ways (Not) To Go Beyond Simple Heuristics EMNLP 2021 Generalization Performance of Multi-pass Stochastic Gradient Descent with Convex Loss Functions JMLR 2021 Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection CVPR 2021 General Low-rank Matrix Optimization: Geometric Analysis and Sharper Bounds NeurIPS 2021 Generating Deep Networks Explanations with Robust Attribution Alignment ACML 2021 Generic Neural Architecture Search via Regression NeurIPS 2021 Generic Perceptual Loss for Modeling Structured Output Dependencies CVPR 2021 Geometric Value Iteration: Dynamic Error-Aware KL Regularization for Reinforcement Learning ACML 2021 Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances ICML 2021 Global Optimality Beyond Two Layers: Training Deep ReLU Networks via Convex Programs ICML 2021 GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs OSDI 2021 Goten: GPU-Outsourcing Trusted Execution of Neural Network Training AAAI 2021 GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training ICML 2021 Graph-Free Knowledge Distillation for Graph Neural Networks IJCAI 2021 Greedy Search Algorithm for Mixed Precision in Post-Training Quantization of Convolutional Neural Network Inspired by Submodular Optimization ACML 2021 GrooMeD-NMS: Grouped Mathematically Differentiable NMS for Monocular 3D Object Detection CVPR 2021 Group Whitening: Balancing Learning Efficiency and Representational Capacity CVPR 2021 GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding ICLR 2021