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• Knowledge Distillation via Constrained Variational Inference

  Ardavan Saeedi, Yuria Utsumi, Li Sun, Kayhan Batmanghelich, Li-wei Lehman

  8132-8140

  2022-06-28

• Hypergraph Modeling via Spectral Embedding Connection: Hypergraph Cut, Weighted Kernel k-Means, and Heat Kernel

  Shota Saito

  8141-8149

  2022-06-28

• Reverse Differentiation via Predictive Coding

  Tommaso Salvatori, Yuhang Song, Zhenghua Xu, Thomas Lukasiewicz, Rafal Bogacz

  8150-8158

  2022-06-28

• VACA: Designing Variational Graph Autoencoders for Causal Queries

  Pablo Sánchez-Martin, Miriam Rateike, Isabel Valera

  8159-8168

  2022-06-28

• Verification of Neural-Network Control Systems by Integrating Taylor Models and Zonotopes

  Christian Schilling, Marcelo Forets, Sebastián Guadalupe

  8169-8177

  2022-06-28

• Scaling Up Influence Functions

  Andrea Schioppa, Polina Zablotskaia, David Vilar, Artem Sokolov

  8179-8186

  2022-06-28

• Chaining Value Functions for Off-Policy Learning

  Simon Schmitt, John Shawe-Taylor, Hado van Hasselt

  8187-8195

  2022-06-28

• Graph Filtration Kernels

  Till Schulz, Pascal Welke, Stefan Wrobel

  8196-8203

  2022-06-28

• Neural Networks Classify through the Class-Wise Means of Their Representations

  Mohamed El Amine Seddik, Mohamed Tamaazousti

  8204-8211

  2022-06-28

• Neuro-Symbolic Inductive Logic Programming with Logical Neural Networks

  Prithviraj Sen, Breno W. S. R. de Carvalho, Ryan Riegel, Alexander Gray

  8212-8219

  2022-06-28

• Max-Margin Contrastive Learning

  Anshul Shah, Suvrit Sra, Rama Chellappa, Anoop Cherian

  8220-8230

  2022-06-28

• Learning to Transfer with von Neumann Conditional Divergence

  Ammar Shaker, Shujian Yu, Daniel Oñoro-Rubio

  8231-8239

  2022-06-28

• Online Apprenticeship Learning

  Lior Shani, Tom Zahavy, Shie Mannor

  8240-8248

  2022-06-28

• HoD-Net: High-Order Differentiable Deep Neural Networks and Applications

  Siyuan Shen, Tianjia Shao, Kun Zhou, Chenfanfu Jiang, Feng Luo, Yin Yang

  8249-8258

  2022-06-28

• Conditional Generative Model Based Predicate-Aware Query Approximation

  Nikhil Sheoran, Subrata Mitra, Vibhor Porwal, Siddharth Ghetia, Jatin Varshney, Tung Mai, Anup Rao, Vikas Maddukuri

  8259-8266

  2022-06-28

• Learning Bounded Context-Free-Grammar via LSTM and the Transformer: Difference and the Explanations

  Hui Shi, Sicun Gao, Yuandong Tian, Xinyun Chen, Jishen Zhao

  8267-8276

  2022-06-28

• Shape Prior Guided Attack: Sparser Perturbations on 3D Point Clouds

  Zhenbo Shi, Zhi Chen, Zhenbo Xu, Wei Yang, Zhidong Yu, Liusheng Huang

  8277-8285

  2022-06-28

• TRF: Learning Kernels with Tuned Random Features

  Alistair Shilton, Sunil Gupta, Santu Rana, Arun Kumar Venkatesh, Svetha Venkatesh

  8286-8294

  2022-06-28

• Estimation of Local Average Treatment Effect by Data Combination

  Kazuhiko Shinoda, Takahiro Hoshino

  8295-8303

  2022-06-28

• Constraint-Driven Explanations for Black-Box ML Models

  Aditya A. Shrotri, Nina Narodytska, Alexey Ignatiev, Kuldeep S Meel, Joao Marques-Silva, Moshe Y. Vardi

  8304-8314

  2022-06-28

• Noise-Robust Learning from Multiple Unsupervised Sources of Inferred Labels

  Amila Silva, Ling Luo, Shanika Karunasekera, Christopher Leckie

  8315-8323

  2022-06-28

• QUILT: Effective Multi-Class Classification on Quantum Computers Using an Ensemble of Diverse Quantum Classifiers

  Daniel Silver, Tirthak Patel, Devesh Tiwari

  8324-8332

  2022-06-28

• EqGNN: Equalized Node Opportunity in Graphs

  Uriel Singer, Kira Radinsky

  8333-8341

  2022-06-28

• ApproxIFER: A Model-Agnostic Approach to Resilient and Robust Prediction Serving Systems

  Mahdi Soleymani, Ramy E. Ali, Hessam Mahdavifar, A. Salman Avestimehr

  8342-8350

  2022-06-28

• Feature Importance Explanations for Temporal Black-Box Models

  Akshay Sood, Mark Craven

  8351-8360

  2022-06-28