representation learning

DOBF: A Deobfuscation Pre-Training Objective for Programming Languages NeurIPS 2021 Do Different Tracking Tasks Require Different Appearance Models? NeurIPS 2021 Does It Happen? Multi-hop Path Structures for Event Factuality Prediction with Graph Transformer Networks EMNLP 2021 Does My Representation Capture X? Probe-Ably ACL 2021 Do Language Models Know the Way to Rome? EMNLP 2021 Domain Adaptation with Invariant Representation Learning: What Transformations to Learn? NeurIPS 2021 Domain Consensus Clustering for Universal Domain Adaptation CVPR 2021 Domain Generalization using Causal Matching ICML 2021 Domain Invariant Representation Learning with Domain Density Transformations NeurIPS 2021 Do RNN States Encode Abstract Phonological Alternations? NAACL 2021 Do Transformers Really Perform Badly for Graph Representation? NeurIPS 2021 Do Vision Transformers See Like Convolutional Neural Networks? NeurIPS 2021 Do Wide and Deep Networks Learn the Same Things? Uncovering How Neural Network Representations Vary with Width and Depth ICLR 2021 DRANet: Disentangling Representation and Adaptation Networks for Unsupervised Cross-Domain Adaptation CVPR 2021 Drop-DTW: Aligning Common Signal Between Sequences While Dropping Outliers NeurIPS 2021 Dual Adversarial Graph Neural Networks for Multi-label Cross-modal Retrieval AAAI 2021 Dual Contradistinctive Generative Autoencoder CVPR 2021 DualNet: Continual Learning, Fast and Slow NeurIPS 2021 Dynamically Disentangling Social Bias from Task-Oriented Representations with Adversarial Attack NAACL 2021 Dynamic Class Queue for Large Scale Face Recognition in the Wild CVPR 2021 Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data NeurIPS 2021 Dynamic Head: Unifying Object Detection Heads With Attentions CVPR 2021 Dynamic Popularity-Aware Contrastive Learning for Recommendation ACML 2021 ECG ODE-GAN: Learning Ordinary Differential Equations of ECG Dynamics via Generative Adversarial Learning AAAI 2021 ECS-Net: Improving Weakly Supervised Semantic Segmentation by Using Connections Between Class Activation Maps ICCV 2021