Domain Knowledge Based Brain Tumor Segmentation and Overall Survival Prediction. Learning Semantic Annotations for Tabular Data. Training convolutional neural networks with cheap convolutions and online distillation. Working women and caste in India: A study of social disadvantage using feature attribution. Bayesian Loss for Crowd Count Estimation …

CEDR: Contextualized Embeddings for Document Ranking. $Σ$-net: Ensembled Iterative Deep Neural Networks for Accelerated Parallel MR Image Reconstruction. DADA: Depth-aware Domain Adaptation in Semantic Segmentation. Cost-sensitive Regularization for Label Confusion-aware Event Detection. Semi-Supervised Learning by Disentangling and Self-Ensembling …

Deep Network Classification by Scattering and Homotopy Dictionary Learning. Multi-source Distilling Domain Adaptation. Forget Me Not: Reducing Catastrophic Forgetting for Domain Adaptation in Reading Comprehension. Stokes Inversion based on Convolutional Neural Networks. When Low Resource NLP Meets Unsupervised Language Model: Meta-pretraining Then …

Kernel Graph Attention Network for Fact Verification. Learning Individual Styles of Conversational Gesture. Improving Adversarial Robustness via Guided Complement Entropy. Simple Applications of BERT for Ad Hoc Document Retrieval. Memeify: A Large-Scale Meme Generation System. Object-Oriented Dynamics Learning through Multi-Level Abstraction. Scala …

Powering Hidden Markov Model by Neural Network based Generative Models. BlockSwap: Fisher-guided Block Substitution for Network Compression on a Budget. Deeper Text Understanding for IR with Contextual Neural Language Modeling. CullNet: Calibrated and Pose Aware Confidence Scores for Object Pose Estimation. Modular Universal Reparameterization: Dee …

Social Influence-based Attentive Mavens Mining and Aggregative Representation Learning for Group Recommendation. Integrating Behavior Cloning and Reinforcement Learning for Improved Performance in Sparse Reward Environments. A Specialized Evolutionary Strategy Using Mean Absolute Error Random Sampling to Design Recurrent Neural Networks. Performanc …

SISUA: Semi-Supervised Generative Autoencoder for Single Cell Data. Learning Procedural Abstractions and Evaluating Discrete Latent Temporal Structure. FaceForensics++: Learning to Detect Manipulated Facial Images. Bayesian Adaptive Superpixel Segmentation. Direct Optimization through \arg \max for Discrete Variational Auto-Encoder. Deep Metric Lea …