Optimization & Theory

Layer-Wise Searching for 1-Bit Detectors CVPR 2021 Learnable Companding Quantization for Accurate Low-Bit Neural Networks CVPR 2021 Learned Bi-Resolution Image Coding using Generalized Octave Convolutions AAAI 2021 Learning Compact Metrics for MT EMNLP 2021 Learning Curves for Analysis of Deep Networks ICML 2021 Learning Deeper Non-Monotonic Networks by Softly Transferring Solution Space IJCAI 2021 Learning Dynamics Models with Stable Invariant Sets AAAI 2021 Learning explanations that are hard to vary ICLR 2021 Learning Frequency Domain Approximation for Binary Neural Networks NeurIPS 2021 Learning from Noisy Labels with Complementary Loss Functions AAAI 2021 Learning Generalized Intersection Over Union for Dense Pixelwise Prediction ICML 2021 Learning Graph Neural Networks with Approximate Gradient Descent AAAI 2021 Learning Modulated Loss for Rotated Object Detection AAAI 2021 Learning Neural Network Subspaces ICML 2021 Learning N:M Fine-grained Structured Sparse Neural Networks From Scratch ICLR 2021 Learning Omni-Frequency Region-adaptive Representations for Real Image Super-Resolution AAAI 2021 Learning Optical Flow From a Few Matches CVPR 2021 Learning Theory Can (Sometimes) Explain Generalisation in Graph Neural Networks NeurIPS 2021 Learning to Cascade: Confidence Calibration for Improving the Accuracy and Computational Cost of Cascade Inference Systems AAAI 2021 Learning to Recombine and Resample Data For Compositional Generalization ICLR 2021 Learning with Gradient Descent and Weakly Convex Losses AISTATS 2021 Learning with Retrospection AAAI 2021 LeeBERT: Learned Early Exit for BERT with cross-level optimization ACL 2021 LEGOEval: An Open-Source Toolkit for Dialogue System Evaluation via Crowdsourcing ACL 2021 Lightweight Adapter Tuning for Multilingual Speech Translation ACL 2021