Optimization & Theory

Expected Validation Performance and Estimation of a Random Variable’s Maximum EMNLP 2021 Explaining Convolutional Neural Networks through Attribution-Based Input Sampling and Block-Wise Feature Aggregation AAAI 2021 Exploiting & Refining Depth Distributions With Triangulation Light Curtains CVPR 2021 Exploratory Model Analysis Using Data-Driven Neuron Representations EMNLP 2021 Exploring Sparsity in Image Super-Resolution for Efficient Inference CVPR 2021 Exponentially Many Local Minima in Quantum Neural Networks ICML 2021 Extremely Low Footprint End-to-End ASR System for Smart Device Interspeech 2021 FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search ICCV 2021 Fast Algorithms for Stackelberg Prediction Game with Least Squares Loss ICML 2021 Fast and Accurate Model Scaling CVPR 2021 Fast and Compact Bilinear Pooling by Shifted Random Maclaurin AAAI 2021 Fast and Memory Efficient Differentially Private-SGD via JL Projections NeurIPS 2021 Fast Axiomatic Attribution for Neural Networks NeurIPS 2021 Fast Certified Robust Training with Short Warmup NeurIPS 2021 Faster Depth-Adaptive Transformers AAAI 2021 Faster Policy Learning with Continuous-Time Gradients L4DC 2021 FastIF: Scalable Influence Functions for Efficient Model Interpretation and Debugging EMNLP 2021 FastSeq: Make Sequence Generation Faster ACL 2021 Fast Training of Provably Robust Neural Networks by SingleProp AAAI 2021 FBNetV3: Joint Architecture-Recipe Search Using Predictor Pretraining CVPR 2021 Federated Learning with Sparsification-Amplified Privacy and Adaptive Optimization IJCAI 2021 Findings of the WMT 2021 Shared Task on Efficient Translation EMNLP 2021 Finetuning Pretrained Transformers into RNNs EMNLP 2021 Formalizing Generalization and Adversarial Robustness of Neural Networks to Weight Perturbations NeurIPS 2021 FP-NAS: Fast Probabilistic Neural Architecture Search CVPR 2021