Neural Networks

Learning to Remember More with Less Memorization ICLR 2019 Learning to Sample CVPR 2019 Learning to See Moving Objects in the Dark ICCV 2019 Learning To Solve Circuit-SAT: An Unsupervised Differentiable Approach ICLR 2019 Learning to Synthesize Motion Blur CVPR 2019 Learning to Transfer Relational Representations through Analogy AAAI 2019 Learning Transformation Synchronization CVPR 2019 Learning Video Representations From Correspondence Proposals CVPR 2019 Learning what and where to attend ICLR 2019 Learning with Noisy Labels for Sentence-level Sentiment Classification EMNLP 2019 Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting ICML 2019 Legendre Memory Units: Continuous-Time Representation in Recurrent Neural Networks NeurIPS 2019 LegoNet: Efficient Convolutional Neural Networks with Lego Filters ICML 2019 Lending Orientation to Neural Networks for Cross-View Geo-Localization CVPR 2019 Leveraging a Character, Word and Prosody Triplet for an ASR Error Robust and Agglutination Friendly Punctuation Approach Interspeech 2019 Leveraging exploration in off-policy algorithms via normalizing flows CoRL 2019 Leveraging Shape Completion for 3D Siamese Tracking CVPR 2019 LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning ICML 2019 Lifted Proximal Operator Machines AAAI 2019 Light Field Messaging With Deep Photographic Steganography CVPR 2019 Lijunyi at SemEval-2019 Task 9: An attention-based LSTM and ensemble of different models for suggestion mining from online reviews and forums SemEval 2019 Linearized Multi-Sampling for Differentiable Image Transformation ICCV 2019 Linguistic Versus Latent Relations for Modeling Coherent Flow in Paragraphs EMNLP 2019 LIP: Local Importance-Based Pooling ICCV 2019 Lipper: Speaker Independent Speech Synthesis Using Multi-View Lipreading AAAI 2019