USC has a substantial presence at NeurIPS, the world’s largest machine learning conference.
Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation (Spotlight)
Risto Vuorio (University of Michigan); Shao-Hua Sun (USC); Hexiang Hu (USC); Joseph J Lim (USC)
DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction (Poster)
Qiangeng Xu (USC); Weiyue Wang (USC); Duygu Ceylan (Adobe Research); Radomir Mech (Adobe Systems Incorporated); Ulrich Neumann (USC)
Exact Rate-Distortion in Autoencoders via Echo Noise (Poster)
Rob Brekelmans (USC); Daniel Moyer (USC); Aram Galstyan (USC Information Sciences Institute); Greg Ver Steeg (USC Information Sciences Institute)
End to end learning and optimization on graphs (Poster)
Bryan Wilder (Harvard University); Eric Ewing (USC); Bistra Dilkina (USC); Milind Tambe (USC)
Deep RGB-D Canonical Correlation Analysis For Sparse Depth Completion (Poster)
Yiqi Zhong (USC); Cho Ying Wu (USC); Suya You (US Army Research Laboratory); Ulrich Neumann (USC)
Reducing the variance in online optimization by transporting past gradients (Spotlight)
Sebastien MR Arnold (USC); Pierre-Antoine Manzagol (Google); Reza Babanezhad (University of British Columbia); Ioannis Mitliagkas (Mila & University of Montreal); Nicolas Le Roux (Google)
Equipping Experts/Bandits with Long-term Memory (Poster)
Kai Zheng (Peking University); Haipeng Luo (USC); Ilias Diakonikolas (University of Wisconsin-Madison); Liwei Wang (Peking University)
Effective End-to-end Unsupervised Outlier Detection via Inlier Priority of Discriminative Network (Poster)
Siqi Wang (National University of Defense Technology); Yijie Zeng (Nanyang Technological University); Xinwang Liu (National University of Defense Technology); En Zhu (National University of Defense Technology); Jianping Yin (Dongguan University of Technology); Chuanfu Xu (National University of Defense Technology); Marius Kloft (USC)
Hypothesis Set Stability and Generalization (Poster)
Dylan Foster (MIT); Spencer Greenberg (Spark Wave); Satyen Kale (Google); Haipeng Luo (USC); Mehryar Mohri (Google / Courant Institute of Mathematical Sciences, NYU); Karthik Sridharan (Cornell University)
PointDAN: A Multi-Scale 3D Domain Adaption Network for Point Cloud Representation (Poster)
Can Qin (Northeastern University); Haoxuan You (Tsinghua University); Lichen Wang (Northeastern University); C.-C. Jay Kuo (USC); YUN FU (Northeastern University)
A Polynomial Time Algorithm for Log-Concave Maximum Likelihood via Locally Exponential Families (Poster)
Brian Axelrod (Stanford); Ilias Diakonikolas (University of Wisconsin-Madison); Alistair Stewart (USC); Anastasios Sidiropoulos (University of Illinois at Chicago); Gregory Valiant (Stanford University)
Learning to Infer Implicit Surfaces without 3D Supervision (Poster)
Shichen Liu (USC); Shunsuke Saito (University of Southern California); Weikai Chen (USC Institute for Creative Technology); Hao Li (Pinscreen/USC/USC ICT)
Contextual Bandits with Cross-Learning (Poster)
Santiago Balseiro (Columbia University); Negin Golrezaei (USC); Mohammad Mahdian (Google); Vahab Mirrokni (Google); Jon Schneider (Google Research)
Regularization Matters: Generalization and Optimization of Neural Nets v.s. their Induced Kernel (Spotlight)
Colin Wei (Stanford University); Jason Lee (USC); Qiang Liu (UT Austin); Tengyu Ma (Stanford)
Dynamic Incentive-Aware Learning: Robust Pricing in Contextual Auctions (Poster)
Negin Golrezaei (MIT); Adel Javanmard (USC); Vahab Mirrokni (Google)
Outlier-Robust High-Dimensional Sparse Estimation via Iterative Filtering (Poster)
Ilias Diakonikolas (University of Wisconsin-Madison); Daniel M Kane (UCSD); Sushrut Karmalkar (The University of Texas at Austin); Eric Price (University of Texas at Austin); Alistair Stewart (USC)
Neural Temporal-Difference Learning Converges to Global Optima (Poster)
Qi Cai (Northwestern University); Zhuoran Yang (Princeton.edu); Jason Lee (USC); Zhaoran Wang (Northwestern)
Convergence of Adversarial Training in Overparametrized Neural Networks (Spotlight)
Ruiqi Gao (Peking University); Tianle Cai (Peking University); Haochuan Li (MIT); Cho-Jui Hsieh (UCLA); Liwei Wang (Peking University); Jason Lee (USC)
Deep Multi-State Dynamic Recurrent Neural Networks Operating on Wavelet Based Neural Features for Robust Brain Machine Interfaces (Poster)
Benyamin Allahgholizadeh Haghi (California Institute of Technology); Spencer Kellis (California Institute of Technology); Sahil Shah (California Institute of Technology); Maitreyi Ashok (California Institute of Technology); Luke Bashford (California Institute of Technology); Daniel Kramer (USC); Brian Lee (USC); Charles Liu (USC); Richard Andersen (California Institute of Technology); Azita Emami (California Institute of Technology)
Model Selection for Contextual Bandits (Spotlight)
Dylan Foster (MIT); Akshay Krishnamurthy (Microsoft); Haipeng Luo (USC)
Solving a Class of Non-Convex Min-Max Games Using Iterative First Order Methods (Poster)
Maher Nouiehed (American University of Beirut); Maziar Sanjabi (USC); Tianjian Huang (USC); Jason Lee (USC); Meisam Razaviyayn (USC)
Fast structure learning with modular regularization (Spotlight)
Greg Ver Steeg (USC Information Sciences Institute); Hrayr Harutyunyan (USC Information Sciences Institute); Daniel Moyer (USC Information Sciences Institute); Aram Galstyan (USC Information Sciences Institute)
Exploring Algorithmic Fairness in Robust Graph Covering Problems (Poster)
Aida Rahmattalabi (USC); Phebe Vayanos (USC); Anthony Fulginiti (University of Denver); Eric Rice (University of Southern California); Bryan Wilder (Harvard University); Amulya Yadav (Pennsylvania State University); Milind Tambe (USC)
Published on December 9th, 2019
Last updated on May 16th, 2024
