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Neural Tangent Kernel: Convergence and Generalization in Neural Networks
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Multimodal Machine Learning: A Survey and Taxonomy
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Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics
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Scalability in Perception for Autonomous Driving: Waymo Open Dataset
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Using Deep Learning for Image-Based Plant Disease Detection
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HellaSwag: Can a Machine Really Finish Your Sentence?
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Geometric deep learning: going beyond Euclidean data
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End-to-End Training of Deep Visuomotor Policies
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Colorful Image Colorization
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Deep CORAL: Correlation Alignment for Deep Domain Adaptation
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Pointer Sentinel Mixture Models
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Deep learning in agriculture: A survey
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Optimization Methods for Large-Scale Machine Learning
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Large Language Models Encode Clinical Knowledge
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Generative Adversarial Networks: An Overview
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Neural Graph Collaborative Filtering
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Deep Image Prior
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Towards Smart and Reconfigurable Environment: Intelligent Reflecting Surface Aided Wireless Network
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Residual Attention Network for Image Classification
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Convolutional Networks on Graphs for Learning Molecular Fingerprints
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Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings
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SciBERT: A Pretrained Language Model for Scientific Text
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Generative Adversarial Imitation Learning
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CodeBERT: A Pre-Trained Model for Programming and Natural Languages
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Multi-view Convolutional Neural Networks for 3D Shape Recognition
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DeBERTa: Decoding-enhanced BERT with Disentangled Attention
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Convolutional Sequence to Sequence Learning
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In Defense of the Triplet Loss for Person Re-Identification
Alexander Hermans, Lucas Beyer, Bastian Leibe
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Glow: Generative Flow with Invertible 1x1 Convolutions
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HuggingFace's Transformers: State-of-the-art Natural Language Processing
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Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World
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Conditional Image Synthesis With Auxiliary Classifier GANs
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Relational inductive biases, deep learning, and graph networks
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A Closer Look at Spatiotemporal Convolutions for Action Recognition
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Complex Embeddings for Simple Link Prediction
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Efficient Processing of Deep Neural Networks: A Tutorial and Survey
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MixMatch: A Holistic Approach to Semi-Supervised Learning
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A Brief Survey of Deep Reinforcement Learning
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Understanding Black-box Predictions via Influence Functions
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Wireless Communications with Unmanned Aerial Vehicles: Opportunities and Challenges
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Generative Adversarial Text to Image Synthesis
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A Call for Clarity in Reporting BLEU Scores
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Pointer Networks
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Automatic differentiation in machine learning: a survey
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fairseq: A Fast, Extensible Toolkit for Sequence Modeling
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FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
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