representation learning

Data-Efficient Language Shaped Few-shot Image Classification EMNLP 2021 Data Efficient Masked Language Modeling for Vision and Language EMNLP 2021 Debiasing Methods in Natural Language Understanding Make Bias More Accessible EMNLP 2021 De-Biasing Neural Networks With Estimated Offset for Class Imbalanced Learning WACV 2021 DebIE: A Platform for Implicit and Explicit Debiasing of Word Embedding Spaces EACL 2021 DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations ACL 2021 Decomposed Mutual Information Estimation for Contrastive Representation Learning ICML 2021 Decoupling Global and Local Representations via Invertible Generative Flows ICLR 2021 Decoupling Representation Learning from Reinforcement Learning ICML 2021 Decoupling Value and Policy for Generalization in Reinforcement Learning ICML 2021 Deep Fusion Clustering Network AAAI 2021 Deep Graph Spectral Evolution Networks for Graph Topological Evolution AAAI 2021 Deep kernels with probabilistic embeddings for small-data learning UAI 2021 Deep Mutual Information Maximin for Cross-Modal Clustering AAAI 2021 Deep Reinforcement Learning amidst Continual Structured Non-Stationarity ICML 2021 Deep Structural Contrastive Subspace Clustering ACML 2021 Deep Unsupervised Anomaly Detection WACV 2021 Denoising Word Embeddings by Averaging in a Shared Space ACL 2021 DER: Dynamically Expandable Representation for Class Incremental Learning CVPR 2021 Deriving Contextualised Semantic Features from BERT (and Other Transformer Model) Embeddings ACL 2021 Deriving Word Vectors from Contextualized Language Models using Topic-Aware Mention Selection ACL 2021 Details (Don't) Matter: Isolating Cluster Information in Deep Embedded Spaces IJCAI 2021 Detecting Individual Decision-Making Style: Exploring Behavioral Stylometry in Chess NeurIPS 2021 Detecting Moments and Highlights in Videos via Natural Language Queries NeurIPS 2021 Dialogue Response Generation via Contrastive Latent Representation Learning EMNLP 2021