Representation Learning

On Inductive Biases for Heterogeneous Treatment Effect Estimation NeurIPS 2021 On learning and representing social meaning in NLP: a sociolinguistic perspective NAACL 2021 On Learning Sets of Symmetric Elements (Extended Abstract) IJCAI 2021 On learning sparse vectors from mixture of responses NeurIPS 2021 On Linear Identifiability of Learned Representations ICML 2021 Online Graph Dictionary Learning ICML 2021 Online Learning and Control of Complex Dynamical Systems from Sensory Input NeurIPS 2021 Online Limited Memory Neural-Linear Bandits with Likelihood Matching ICML 2021 On lp-hyperparameter Learning via Bilevel Nonsmooth Optimization JMLR 2021 On Memorization in Probabilistic Deep Generative Models NeurIPS 2021 On Perceptual Lossy Compression: The Cost of Perceptual Reconstruction and An Optimal Training Framework ICML 2021 On Pursuit of Designing Multi-modal Transformer for Video Grounding EMNLP 2021 On Scalar Embedding of Relative Positions in Attention Models AAAI 2021 On Semantic Similarity in Video Retrieval CVPR 2021 On the Approximation Power of Two-Layer Networks of Random ReLUs COLT 2021 On the Bottleneck of Graph Neural Networks and its Practical Implications ICLR 2021 On the Computational Modelling of Michif Verbal Morphology EACL 2021 On the cross-lingual transferability of multilingual prototypical models across NLU tasks ACL 2021 On the differences between BERT and MT encoder spaces and how to address them in translation tasks ACL 2021 On the Difficulty of Segmenting Words with Attention EMNLP 2021 On the Effect of Auxiliary Tasks on Representation Dynamics AISTATS 2021 On the Embeddings of Variables in Recurrent Neural Networks for Source Code NAACL 2021 On the evolution of syntactic information encoded by BERT’s contextualized representations EACL 2021 On the Faster Alternating Least-Squares for CCA AISTATS 2021 On-the-fly Rectification for Robust Large-Vocabulary Topic Inference ICML 2021