Papers
Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs
Timur Garipov, Pavel Izmailov, Dmitrii Podoprikhin et al.
LoST? Appearance-Invariant Place Recognition for Opposite Viewpoints using Visual Semantics
Sourav Garg, Niko Suenderhauf, Michael Milford
Lost in Translation: Analysis of Information Loss During Machine Translation Between Polysynthetic and Fusional Languages
Manuel Mager, Elisabeth Mager, Alfonso Medina-Urrea et al.
Loud and Shouted Speech Perception at Variable Distances in a Forest
Julien Meyer, Fanny Meunier, Laure Dentel et al.
Lower Bounds for Higher-Order Convex Optimization
Naman Agarwal, Elad Hazan
Low-Latency Neural Speech Translation
Jan Niehues, Ngoc-Quan Pham, Thanh-Le Ha et al.
Low-Latency Video Semantic Segmentation
Yule Li, Jianping Shi, Dahua Lin
Low-rank Interaction with Sparse Additive Effects Model for Large Data Frames
Geneviève Robin, Hoi-To Wai, Julie Josse et al.
Low-rank passthrough neural networks
Antonio Valerio Miceli Barone
Low-Rank Tucker Decomposition of Large Tensors Using TensorSketch
Osman Asif Malik, Stephen Becker
Low Resource Acoustic-to-articulatory Inversion Using Bi-directional Long Short Term Memory
Aravind Illa, Prasanta Kumar Ghosh
Low-resource Cross-lingual Event Type Detection via Distant Supervision with Minimal Effort
Aldrian Obaja Muis, Naoki Otani, Nidhi Vyas et al.
Low-Resource Machine Transliteration Using Recurrent Neural Networks of Asian Languages
Ngoc Tan Le, Fatiha Sadat
Low-resource named entity recognition via multi-source projection: Not quite there yet?
Jan Vium Enghoff, Søren Harrison, Željko Agić
Low-Resource Speech-to-Text Translation
Sameer Bansal, Herman Kamper, Karen Livescu et al.
Low-Shot Learning From Imaginary Data
Yu-Xiong Wang, Ross Girshick, Martial Hebert et al.
Low-shot Learning via Covariance-Preserving Adversarial Augmentation Networks
Hang Gao, Zheng Shou, Alireza Zareian et al.
Low-Shot Learning With Imprinted Weights
Hang Qi, Matthew Brown, David G. Lowe
Low-Shot Learning With Large-Scale Diffusion
Matthijs Douze, Arthur Szlam, Bharath Hariharan et al.
LP Heuristics over Conjunctions: Compilation, Convergence, Nogood Learning
Marcel Steinmetz, Joerg Hoffmann
LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks
Dongqing Zhang, Jiaolong Yang, Dongqiangzi Ye et al.
LRMM: Learning to Recommend with Missing Modalities
Cheng Wang, Mathias Niepert, Hui Li
LSDSCC: a Large Scale Domain-Specific Conversational Corpus for Response Generation with Diversity Oriented Evaluation Metrics
Zhen Xu, Nan Jiang, Bingquan Liu et al.
LSQ++: Lower running time and higher recall in multi-codebook quantization
Julieta Martinez, Shobhit Zakhmi, Holger H. Hoos et al.