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Learning Depth from Single Monocular Images Using Deep Convolutional Neural Fields
Fayao Liu, Chunhua Shen, ... (+2 more)
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Fast Inference from Transformers via Speculative Decoding
Yaniv Leviathan, Matan Kalman, Yossi Matias
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BAM: Bottleneck Attention Module
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Adafactor: Adaptive Learning Rates with Sublinear Memory Cost
Noam Shazeer, Mitchell Stern
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SCNN: An Accelerator for Compressed-sparse Convolutional Neural Networks
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signSGD: Compressed Optimisation for Non-Convex Problems
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All One Needs to Know about Fog Computing and Related Edge Computing Paradigms: A Complete Survey
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Brent Mittelstadt
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Out-of-Distribution Generalization via Risk Extrapolation (REx)
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Atlas: Few-shot Learning with Retrieval Augmented Language Models
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Toward Controlled Generation of Text
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MASS: Masked Sequence to Sequence Pre-training for Language Generation
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On Deep Multi-View Representation Learning: Objectives and Optimization
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Beyond English-Centric Multilingual Machine Translation
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Texture Networks: Feed-forward Synthesis of Textures and Stylized Images
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Robust Adversarial Reinforcement Learning
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