MP20-08 COMPUTER-GENERATED ASSESSMENT OF TECHNICAL SURGICAL SKILLS (CATS) von Osinsk, Thomas, Arpit, Devansh, Wshah, Safwan, Ghazi, Ahmed

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MOMENTUM CONTRASTIVE AUTOENCODER von Arpit, Devansh

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Width of Minima Reached by Stochastic Gradient Descent is Influenced by Learning Rate to Batch Size Ratio von Jastrzębski, Stanislaw, Kenton, Zachary, Arpit, Devansh, Ballas, Nicolas, Fischer, Asja, Bengio, Yoshua, Storkey, Amos

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Locality-constrained Low Rank Coding for face recognition von Arpit, D., Srivastava, G., Yun Fu

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The Benefits of Over-parameterization at Initialization in Deep ReLU Networks von Arpit, Devansh, Bengio, Yoshua

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Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization von Arpit, Devansh, Wang, Huan, Zhou, Yingbo, Xiong, Caiming

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Momentum Contrastive Autoencoder: Using Contrastive Learning for Latent Space Distribution Matching in WAE von Arpit, Devansh, Bhatnagar, Aadyot, Wang, Huan, Xiong, Caiming

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Learning Rich Nearest Neighbor Representations from Self-supervised Ensembles von Wallace, Bram, Arpit, Devansh, Wang, Huan, Xiong, Caiming

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NEURAL NETWORK BASED ANOMALY DETECTION FOR TIME-SERIES DATA von XIONG, Caiming, ARPIT, Devansh, WANG, Huan

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On the Unlikelihood of D-Separation von Feigenbaum, Itai, Wang, Huan, Heinecke, Shelby, Niebles, Juan Carlos, Yao, Weiran, Xiong, Caiming, Arpit, Devansh

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Causal Layering via Conditional Entropy von Feigenbaum, Itai, Arpit, Devansh, Wang, Huan, Heinecke, Shelby, Niebles, Juan Carlos, Yao, Weiran, Xiong, Caiming, Savarese, Silvio

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Editing Arbitrary Propositions in LLMs without Subject Labels von Feigenbaum, Itai, Arpit, Devansh, Wang, Huan, Heinecke, Shelby, Niebles, Juan Carlos, Yao, Weiran, Xiong, Caiming, Savarese, Silvio

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Ridge Regression based classifiers for large scale class imbalanced datasets von Arpit, D., Shuang Wu, Natarajan, P., Prasad, R., Natarajan, P.

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Predicting with High Correlation Features von Arpit, Devansh, Xiong, Caiming, Socher, Richard

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How to Initialize your Network? Robust Initialization for WeightNorm & ResNets von Arpit, Devansh, Campos, Victor, Bengio, Yoshua

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The Benefits of Over-parameterization at Initialization in Deep ReLU Networks von Devansh Arpit, Bengio, Yoshua

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NEURAL NETWORK BASED ANOMALY DETECTION FOR TIME-SERIES DATA von Arpit, Devansh, Xiong, Caiming, Wang, Huan

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NEURAL NETWORK BASED ANOMALY DETECTION FOR TIME-SERIES DATA von XIONG, Caiming, ARPIT, Devansh, WANG, Huan

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Neural Bayes: A Generic Parameterization Method for Unsupervised Representation Learning von Arpit, Devansh, Wang, Huan, Xiong, Caiming, Socher, Richard, Bengio, Yoshua

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TECHNIQUES FOR MACHINE LEARNING MODEL SELECTION FOR DOMAIN GENERALIZATION von Arpit, Devansh, Xiong, Caiming, Zhou, Yingbo, Wang, Huan

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