Optimization & Theory

A Convergent and Dimension-Independent Min-Max Optimization Algorithm ICML 2022 Active Boundary Loss for Semantic Segmentation AAAI 2022 AdaBlock: SGD with Practical Block Diagonal Matrix Adaptation for Deep Learning AISTATS 2022 AdaFocus V2: End-to-End Training of Spatial Dynamic Networks for Video Recognition CVPR 2022 AdaInt: Learning Adaptive Intervals for 3D Lookup Tables on Real-Time Image Enhancement CVPR 2022 Adam Can Converge Without Any Modification On Update Rules NeurIPS 2022 AdapLeR: Speeding up Inference by Adaptive Length Reduction ACL 2022 Adaptable Adapters NAACL 2022 Adaptive Accelerated (Extra-)Gradient Methods with Variance Reduction ICML 2022 Adaptive Inertia: Disentangling the Effects of Adaptive Learning Rate and Momentum ICML 2022 Adaptive Label Smoothing with Self-Knowledge in Natural Language Generation EMNLP 2022 Adaptive Rectangle Loss for Speaker Verification Interspeech 2022 Adaptive Second Order Coresets for Data-efficient Machine Learning ICML 2022 ADD: Frequency Attention and Multi-View Based Knowledge Distillation to Detect Low-Quality Compressed Deepfake Images AAAI 2022 A Deep Learning-Based Face Mask Detector for Autonomous Nano-Drones (Student Abstract) AAAI 2022 A Deep Learning Dataloader with Shared Data Preparation NeurIPS 2022 A Differential Entropy Estimator for Training Neural Networks ICML 2022 Advancing Model Pruning via Bi-level Optimization NeurIPS 2022 Adversarial Branch Architecture Search for Unsupervised Domain Adaptation WACV 2022 Adversarial Unlearning: Reducing Confidence Along Adversarial Directions NeurIPS 2022 A Dynamical System Perspective for Lipschitz Neural Networks ICML 2022 AEGNN: Asynchronous Event-Based Graph Neural Networks CVPR 2022 A Fast Scale-Invariant Algorithm for Non-negative Least Squares with Non-negative Data NeurIPS 2022 AFDetV2: Rethinking the Necessity of the Second Stage for Object Detection from Point Clouds AAAI 2022 A Fourier Approach to Mixture Learning NeurIPS 2022