representation learning

Relational Classification of Biological Cells in Microscopy Images AAAI 2021 Relational Learning to Capture the Dynamics and Sparsity of Knowledge Graphs AAAI 2021 Relative Flatness and Generalization NeurIPS 2021 Representation Balancing Offline Model-based Reinforcement Learning ICLR 2021 Representation Learning Beyond Linear Prediction Functions NeurIPS 2021 Representation Learning for Event-based Visuomotor Policies NeurIPS 2021 Representation learning for improved interpretability and classification accuracy of clinical factors from EEG ICLR 2021 Representation Learning From Videos In-the-Wild: An Object-Centric Approach WACV 2021 Representation Learning on Spatial Networks NeurIPS 2021 Representation Learning Through Latent Canonicalizations WACV 2021 Representation Learning to Classify and Detect Adversarial Attacks Against Speaker and Speech Recognition Systems Interspeech 2021 Representation Learning via Global Temporal Alignment and Cycle-Consistency CVPR 2021 Representation Learning via Invariant Causal Mechanisms ICLR 2021 Representation Matters: Offline Pretraining for Sequential Decision Making ICML 2021 Representations of Meaning in Neural Networks for NLP: a Thesis Proposal NAACL 2021 Representing Hyperbolic Space Accurately using Multi-Component Floats NeurIPS 2021 Repurposing GANs for One-Shot Semantic Part Segmentation CVPR 2021 Residual2Vec: Debiasing graph embedding with random graphs NeurIPS 2021 Residual Attention: A Simple but Effective Method for Multi-Label Recognition ICCV 2021 ResNEsts and DenseNEsts: Block-based DNN Models with Improved Representation Guarantees NeurIPS 2021 ReSSL: Relational Self-Supervised Learning with Weak Augmentation NeurIPS 2021 Rethinking 360deg Image Visual Attention Modelling With Unsupervised Learning. ICCV 2021 Rethinking Denoised Auto-Encoding in Language Pre-Training EMNLP 2021 Rethinking Graph Regularization for Graph Neural Networks AAAI 2021 Rethinking the Truly Unsupervised Image-to-Image Translation ICCV 2021