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Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1251
Linear-Sample Learning of Low-Rank Distributions
In Poster Session 7
Ayush Jain · Alon Orlitsky
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1320
Glance and Focus: a Dynamic Approach to Reducing Spatial Redundancy in Image Classification
In Poster Session 7
Yulin Wang · Kangchen Lv · Rui Huang · Shiji Song · Le Yang · Gao Huang
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1724
Multi-label classification: do Hamming loss and subset accuracy really conflict with each other?
In Poster Session 7
Guoqiang Wu · Jun Zhu
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1725
Generalization Bound of Gradient Descent for Non-Convex Metric Learning
In Poster Session 7
MINGZHI DONG · Xiaochen Yang · Rui Zhu · Yujiang Wang · Jing-Hao Xue
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1726
On the Optimal Weighted $\ell_2$ Regularization in Overparameterized Linear Regression
In Poster Session 7
Denny Wu · Ji Xu
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1727
Learning to Approximate a Bregman Divergence
In Poster Session 7
Ali Siahkamari · XIDE XIA · Venkatesh Saligrama · David Castañón · Brian Kulis
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1728
Spectra of the Conjugate Kernel and Neural Tangent Kernel for linear-width neural networks
In Poster Session 7
Zhou Fan · Zhichao Wang
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1729
Deep learning versus kernel learning: an empirical study of loss landscape geometry and the time evolution of the Neural Tangent Kernel
In Poster Session 7
Stanislav Fort · Gintare Karolina Dziugaite · Mansheej Paul · Sepideh Kharaghani · Daniel Roy · Surya Ganguli
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1730
Learning to solve TV regularised problems with unrolled algorithms
In Poster Session 7
Hamza Cherkaoui · Jeremias Sulam · Thomas Moreau
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1731
Projection Efficient Subgradient Method and Optimal Nonsmooth Frank-Wolfe Method
In Poster Session 7
Kiran Thekumparampil · Prateek Jain · Praneeth Netrapalli · Sewoong Oh
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1732
Neural Networks Learning and Memorization with (almost) no Over-Parameterization
In Poster Session 7
Amit Daniely
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1733
From Boltzmann Machines to Neural Networks and Back Again
In Poster Session 7
Surbhi Goel · Adam Klivans · Frederic Koehler
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1734
Learning Some Popular Gaussian Graphical Models without Condition Number Bounds
In Poster Session 7
Jonathan Kelner · Frederic Koehler · Raghu Meka · Ankur Moitra
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1735
Fixed-Support Wasserstein Barycenters: Computational Hardness and Fast Algorithm
In Poster Session 7
Tianyi Lin · Nhat Ho · Xi Chen · Marco Cuturi · Michael Jordan
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1736
Projection Robust Wasserstein Distance and Riemannian Optimization
In Poster Session 7
Tianyi Lin · Chenyou Fan · Nhat Ho · Marco Cuturi · Michael Jordan
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1737
Theoretical Insights Into Multiclass Classification: A High-dimensional Asymptotic View
In Poster Session 7
Christos Thrampoulidis · Samet Oymak · Mahdi Soltanolkotabi
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1738
Minimax Bounds for Generalized Linear Models
In Poster Session 7
Kuan-Yun Lee · Thomas Courtade
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1739
Generalization bound of globally optimal non-convex neural network training: Transportation map estimation by infinite dimensional Langevin dynamics
In Poster Session 7
Taiji Suzuki
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1740
Deep reconstruction of strange attractors from time series
In Poster Session 7
William Gilpin
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1741
STEER : Simple Temporal Regularization For Neural ODE
In Poster Session 7
Arnab Ghosh · Harkirat Singh Behl · Emilien Dupont · Philip Torr · Vinay Namboodiri
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1742
Learning Manifold Implicitly via Explicit Heat-Kernel Learning
In Poster Session 7
Yufan Zhou · Changyou Chen · Jinhui Xu
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1743
Better Set Representations For Relational Reasoning
In Poster Session 7
Qian Huang · Horace He · Abhay Singh · Yan Zhang · Ser Nam Lim · Austin Benson
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1744
Intra Order-preserving Functions for Calibration of Multi-Class Neural Networks
In Poster Session 7
Amir Rahimi · Amirreza Shaban · Ching-An Cheng · Richard I Hartley · Byron Boots
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1745
Model Inversion Networks for Model-Based Optimization
In Poster Session 7
Aviral Kumar · Sergey Levine
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1746
Variational Amodal Object Completion
In Poster Session 7
Huan Ling · David Acuna · Karsten Kreis · Seung Wook Kim · Sanja Fidler
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1747
Low Distortion Block-Resampling with Spatially Stochastic Networks
In Poster Session 7
Sarah Hong · Martin Arjovsky · Darryl Barnhart · Ian Thompson
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1748
Understanding Deep Architecture with Reasoning Layer
In Poster Session 7
Xinshi Chen · Yufei Zhang · Christoph Reisinger · Le Song
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1749
AdaTune: Adaptive Tensor Program Compilation Made Efficient
In Poster Session 7
Menghao Li · Minjia Zhang · Chi Wang · Mingqin Li
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1750
CircleGAN: Generative Adversarial Learning across Spherical Circles
In Poster Session 7
Woohyeon Shim · Minsu Cho
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1751
SoftFlow: Probabilistic Framework for Normalizing Flow on Manifolds
In Poster Session 7
Hyeongju Kim · Hyeonseung Lee · Woo Hyun Kang · Joun Yeop Lee · Nam Soo Kim
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1752
Improved Techniques for Training Score-Based Generative Models
In Poster Session 7
Yang Song · Stefano Ermon
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1753
UDH: Universal Deep Hiding for Steganography, Watermarking, and Light Field Messaging
In Poster Session 7
Chaoning Zhang · Philipp Benz · Adil Karjauv · Geng Sun · In So Kweon
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1754
Deep Archimedean Copulas
In Poster Session 7
Chun Kai Ling · Fei Fang · J. Zico Kolter
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1755
Constraining Variational Inference with Geometric Jensen-Shannon Divergence
In Poster Session 7
Jacob Deasy · Nikola Simidjievski · Pietro Lió
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1756
CO-Optimal Transport
In Poster Session 7
Titouan Vayer · Ievgen Redko · Rémi Flamary · Nicolas Courty
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1757
OTLDA: A Geometry-aware Optimal Transport Approach for Topic Modeling
In Poster Session 7
Viet Huynh · He Zhao · Dinh Phung
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1758
Robust Recursive Partitioning for Heterogeneous Treatment Effects with Uncertainty Quantification
In Poster Session 7
Hyun-Suk Lee · Yao Zhang · William Zame · Cong Shen · Jang-Won Lee · Mihaela van der Schaar
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1759
Computing Valid p-value for Optimal Changepoint by Selective Inference using Dynamic Programming
In Poster Session 7
Vo Nguyen Le Duy · Hiroki Toda · Ryota Sugiyama · Ichiro Takeuchi
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1760
Improved Variational Bayesian Phylogenetic Inference with Normalizing Flows
In Poster Session 7
Cheng Zhang
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1761
HM-ANN: Efficient Billion-Point Nearest Neighbor Search on Heterogeneous Memory
In Poster Session 7
Jie Ren · Minjia Zhang · Dong Li
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1762
Noise-Contrastive Estimation for Multivariate Point Processes
In Poster Session 7
Hongyuan Mei · Tom Wan · Jason Eisner
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1763
Adaptive Learned Bloom Filter (Ada-BF): Efficient Utilization of the Classifier with Application to Real-Time Information Filtering on the Web
In Poster Session 7
Zhenwei Dai · Anshumali Shrivastava
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1764
Nimble: Lightweight and Parallel GPU Task Scheduling for Deep Learning
In Poster Session 7
Woosuk Kwon · Gyeong-In Yu · Eunji Jeong · Byung-Gon Chun
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1765
Baxter Permutation Process
In Poster Session 7
Masahiro Nakano · Akisato Kimura · Takeshi Yamada · Naonori Ueda
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1766
A mathematical theory of cooperative communication
In Poster Session 7
Pei Wang · Junqi Wang · Pushpi Paranamana · Patrick Shafto
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1767
All your loss are belong to Bayes
In Poster Session 7
Christian Walder · Richard Nock
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1768
The Potts-Ising model for discrete multivariate data
In Poster Session 7
Zahra Razaee · Arash Amini
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1769
Bidirectional Convolutional Poisson Gamma Dynamical Systems
In Poster Session 7
wenchao chen · Chaojie Wang · Bo Chen · Yicheng Liu · Hao Zhang · Mingyuan Zhou
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1770
Variational Bayesian Unlearning
In Poster Session 7
Quoc Phong Nguyen · Bryan Kian Hsiang Low · Patrick Jaillet
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1771
Theory-Inspired Path-Regularized Differential Network Architecture Search
In Poster Session 7
Pan Zhou · Caiming Xiong · Richard Socher · Steven Chu Hong Hoi
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1772
Cream of the Crop: Distilling Prioritized Paths For One-Shot Neural Architecture Search
In Poster Session 7
Houwen Peng · Hao Du · Hongyuan Yu · QI LI · Jing Liao · Jianlong Fu
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1773
Differentiable Neural Architecture Search in Equivalent Space with Exploration Enhancement
In Poster Session 7
Miao Zhang · Huiqi Li · Shirui Pan · Xiaojun Chang · Zongyuan Ge · Steven Su
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1774
AutoBSS: An Efficient Algorithm for Block Stacking Style Search
In Poster Session 7
Yikang Zhang · Jian Zhang · Zhao Zhong
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1775
Semi-Supervised Neural Architecture Search
In Poster Session 7
Renqian Luo · Xu Tan · Rui Wang · Tao Qin · Enhong Chen · Tie-Yan Liu
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1776
Does Unsupervised Architecture Representation Learning Help Neural Architecture Search?
In Poster Session 7
Shen Yan · Yu Zheng · Wei Ao · Xiao Zeng · Mi Zhang
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1777
A Study on Encodings for Neural Architecture Search
In Poster Session 7
Colin White · Willie Neiswanger · Sam Nolen · Yash Savani
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1778
Evolving Normalization-Activation Layers
In Poster Session 7
Hanxiao Liu · Andy Brock · Karen Simonyan · Quoc V Le
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1779
Interstellar: Searching Recurrent Architecture for Knowledge Graph Embedding
In Poster Session 7
Yongqi Zhang · Quanming Yao · Lei Chen
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1780
Auto Learning Attention
In Poster Session 7
Benteng Ma · Jing Zhang · Yong Xia · Dacheng Tao
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1781
Transferable Graph Optimizers for ML Compilers
In Poster Session 7
Yanqi Zhou · Sudip Roy · Amirali Abdolrashidi · Daniel Wong · Peter Ma · Qiumin Xu · Hanxiao Liu · Phitchaya Phothilimtha · Shen Wang · Anna Goldie · Azalia Mirhoseini · James Laudon
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1782
Adapting Neural Architectures Between Domains
In Poster Session 7
Yanxi Li · Zhaohui Yang · Yunhe Wang · Chang Xu
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1783
Revisiting Parameter Sharing for Automatic Neural Channel Number Search
In Poster Session 7
Jiaxing Wang · Haoli Bai · Jiaxiang Wu · Xupeng Shi · Junzhou Huang · Irwin King · Michael R Lyu · Jian Cheng
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1784
Neuron-level Structured Pruning using Polarization Regularizer
In Poster Session 7
Tao Zhuang · Zhixuan Zhang · Yuheng Huang · Xiaoyi Zeng · Kai Shuang · Xiang Li
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1785
HAWQ-V2: Hessian Aware trace-Weighted Quantization of Neural Networks
In Poster Session 7
Zhen Dong · Zhewei Yao · Daiyaan Arfeen · Amir Gholami · Michael Mahoney · Kurt Keutzer
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1786
MCUNet: Tiny Deep Learning on IoT Devices
In Poster Session 7
Ji Lin · Wei-Ming Chen · Yujun Lin · john cohn · Chuang Gan · Song Han
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1788
Compressing Images by Encoding Their Latent Representations with Relative Entropy Coding
In Poster Session 7
Gergely Flamich · Marton Havasi · José Miguel Hernández-Lobato
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1790
Bi-level Score Matching for Learning Energy-based Latent Variable Models
In Poster Session 7
Fan Bao · Chongxuan LI · Kun Xu · Hang Su · Jun Zhu · Bo Zhang
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1791
NVAE: A Deep Hierarchical Variational Autoencoder
In Poster Session 7
Arash Vahdat · Jan Kautz
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1792
Reciprocal Adversarial Learning via Characteristic Functions
In Poster Session 7
Shengxi Li · Zeyang Yu · Min Xiang · Danilo Mandic
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1793
Stochastic Stein Discrepancies
In Poster Session 7
Jackson Gorham · Anant Raj · Lester Mackey
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1794
Hierarchical Gaussian Process Priors for Bayesian Neural Network Weights
In Poster Session 7
Theofanis Karaletsos · Thang Bui
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1795
Incorporating Interpretable Output Constraints in Bayesian Neural Networks
In Poster Session 7
Wanqian Yang · Lars Lorch · Moritz Graule · Himabindu Lakkaraju · Finale Doshi-Velez
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1796
Quantile Propagation for Wasserstein-Approximate Gaussian Processes
In Poster Session 7
Rui Zhang · Christian Walder · Edwin Bonilla · Marian-Andrei Rizoiu · Lexing Xie
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1797
Mixed Hamiltonian Monte Carlo for Mixed Discrete and Continuous Variables
In Poster Session 7
Guangyao Zhou
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1798
Walsh-Hadamard Variational Inference for Bayesian Deep Learning
In Poster Session 7
Simone Rossi · Sebastien Marmin · Maurizio Filippone
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1799
f-Divergence Variational Inference
In Poster Session 7
Neng Wan · Dapeng Li · NAIRA HOVAKIMYAN
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1800
Flexible mean field variational inference using mixtures of non-overlapping exponential families
In Poster Session 7
Jeffrey Spence
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1801
On the Ergodicity, Bias and Asymptotic Normality of Randomized Midpoint Sampling Method
In Poster Session 7
Ye He · Krishnakumar Balasubramanian · Murat Erdogdu
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1802
Improving Online Rent-or-Buy Algorithms with Sequential Decision Making and ML Predictions
In Poster Session 7
Shom Banerjee
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1803
Community detection using fast low-cardinality semidefinite programming

In Poster Session 7
Po-Wei Wang · J. Zico Kolter
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1804
Online Optimization with Memory and Competitive Control
In Poster Session 7
Guanya Shi · Yiheng Lin · Soon-Jo Chung · Yisong Yue · Adam Wierman
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1805
Simple and Fast Algorithm for Binary Integer and Online Linear Programming
In Poster Session 7
Xiaocheng Li · Chunlin Sun · Yinyu Ye
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1806
A Single Recipe for Online Submodular Maximization with Adversarial or Stochastic Constraints
In Poster Session 7
Omid Sadeghi · Prasanna Raut · Maryam Fazel
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1807
Online Convex Optimization Over Erdos-Renyi Random Networks
In Poster Session 7
Jinlong Lei · Peng Yi · Yiguang Hong · Jie Chen · Guodong Shi
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1808
Thunder: a Fast Coordinate Selection Solver for Sparse Learning
In Poster Session 7
Shaogang Ren · Weijie Zhao · Ping Li
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1809
Deterministic Approximation for Submodular Maximization over a Matroid in Nearly Linear Time
In Poster Session 7
Kai Han · zongmai Cao · Shuang Cui · Benwei Wu
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1810
The Primal-Dual method for Learning Augmented Algorithms
In Poster Session 7
Etienne Bamas · Andreas Maggiori · Ola Svensson
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1812
Fully Dynamic Algorithm for Constrained Submodular Optimization
In Poster Session 7
Silvio Lattanzi · Slobodan Mitrović · Ashkan Norouzi-Fard · Jakub Tarnawski · Morteza Zadimoghaddam
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1813
Submodular Maximization Through Barrier Functions
In Poster Session 7
Ashwinkumar Badanidiyuru · Amin Karbasi · Ehsan Kazemi · Jan Vondrak
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1814
Improved Algorithms for Online Submodular Maximization via First-order Regret Bounds
In Poster Session 7
Nicholas Harvey · Christopher Liaw · Tasuku Soma
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1815
Robust Sequence Submodular Maximization
In Poster Session 7
Gamal Sallam · Zizhan Zheng · Jie Wu · Bo Ji
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1816
Continuous Submodular Maximization: Beyond DR-Submodularity
In Poster Session 7
Moran Feldman · Amin Karbasi
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1817
Efficient Online Learning of Optimal Rankings: Dimensionality Reduction via Gradient Descent
In Poster Session 7
Dimitris Fotakis · Thanasis Lianeas · Georgios Piliouras · Stratis Skoulakis
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1818
Towards More Practical Adversarial Attacks on Graph Neural Networks
In Poster Session 7
Jiaqi Ma · Shuangrui Ding · Qiaozhu Mei
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1819
Boundary thickness and robustness in learning models
In Poster Session 7
Yaoqing Yang · Rajiv Khanna · Yaodong Yu · Amir Gholami · Kurt Keutzer · Joseph Gonzalez · Kannan Ramchandran · Michael Mahoney
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1820
Exploiting weakly supervised visual patterns to learn from partial annotations
In Poster Session 7
Kaustav Kundu · Joseph Tighe
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1821
Dual T: Reducing Estimation Error for Transition Matrix in Label-noise Learning
In Poster Session 7
Yu Yao · Tongliang Liu · Bo Han · Mingming Gong · Jiankang Deng · Gang Niu · Masashi Sugiyama
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1822
Part-dependent Label Noise: Towards Instance-dependent Label Noise
In Poster Session 7
Xiaobo Xia · Tongliang Liu · Bo Han · Nannan Wang · Mingming Gong · Haifeng Liu · Gang Niu · Dacheng Tao · Masashi Sugiyama
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1823
Digraph Inception Convolutional Networks
In Poster Session 7
Zekun Tong · Yuxuan Liang · Changsheng Sun · Xinke Li · David Rosenblum · Andrew Lim
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1824
What Neural Networks Memorize and Why: Discovering the Long Tail via Influence Estimation
In Poster Session 7
Vitaly Feldman · Chiyuan Zhang
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1825
Self-Adaptive Training: beyond Empirical Risk Minimization
In Poster Session 7
Lang Huang · Chao Zhang · Hongyang Zhang
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1826
Debugging Tests for Model Explanations
In Poster Session 7
Julius Adebayo · Michael Muelly · Ilaria Liccardi · Been Kim
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1827
Point process models for sequence detection in high-dimensional neural spike trains
In Poster Session 7
Alex Williams · Anthony Degleris · Yixin Wang · Scott Linderman
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1828
Lamina-specific neuronal properties promote robust, stable signal propagation in feedforward networks
In Poster Session 7
Dongqi Han · Erik De Schutter · Sungho Hong
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1829
Reconstructing Perceptive Images from Brain Activity by Shape-Semantic GAN
In Poster Session 7
Tao Fang · Yu Qi · Gang Pan
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1830
High-contrast “gaudy” images improve the training of deep neural network models of visual cortex
In Poster Session 7
Benjamin Cowley · Jonathan Pillow
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1832
Weakly-Supervised Reinforcement Learning for Controllable Behavior
In Poster Session 7
Lisa Lee · Benjamin Eysenbach · Russ Salakhutdinov · Shixiang (Shane) Gu · Chelsea Finn
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1833
Predictive Information Accelerates Learning in RL
In Poster Session 7
Kuang-Huei Lee · Ian Fischer · Anthony Liu · Yijie Guo · Honglak Lee · John Canny · Sergio Guadarrama
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1834
The route to chaos in routing games: When is price of anarchy too optimistic?
In Poster Session 7
Thiparat Chotibut · Fryderyk Falniowski · Michał Misiurewicz · Georgios Piliouras
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1835
Graph Meta Learning via Local Subgraphs
In Poster Session 7
Kexin Huang · Marinka Zitnik
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1836
Graph Information Bottleneck
In Poster Session 7
Tailin Wu · Hongyu Ren · Pan Li · Jure Leskovec
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1837
Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous GNNs
In Poster Session 7
Hao Tang · Zhiao Huang · Jiayuan Gu · Bao-Liang Lu · Hao Su
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1838
Tree! I am no Tree! I am a low dimensional Hyperbolic Embedding
In Poster Session 7
Rishi Sonthalia · Anna Gilbert
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1839
Scalable Graph Neural Networks via Bidirectional Propagation
In Poster Session 7
Ming Chen · Zhewei Wei · Bolin Ding · Yaliang Li · Ye Yuan · Xiaoyong Du · Ji-Rong Wen
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1840
Neural Message Passing for Multi-Relational Ordered and Recursive Hypergraphs
In Poster Session 7
Naganand Yadati
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1841
A graph similarity for deep learning
In Poster Session 7
Seongmin Ok
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1842
Implicit Graph Neural Networks
In Poster Session 7
Fangda Gu · Heng Chang · Wenwu Zhu · Somayeh Sojoudi · Laurent El Ghaoui
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1843
Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs
In Poster Session 7
Dasol Hwang · Jinyoung Park · Sunyoung Kwon · KyungMin Kim · Jung-Woo Ha · Hyunwoo Kim
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1844
Disentangling Human Error from Ground Truth in Segmentation of Medical Images
In Poster Session 7
Le Zhang · Ryutaro Tanno · Mou-Cheng Xu · Chen Jin · Joseph Jacob · Olga Cicarrelli · Frederik Barkhof · Daniel Alexander
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1845
Graph Policy Network for Transferable Active Learning on Graphs
In Poster Session 7
Shengding Hu · Zheng Xiong · Meng Qu · Xingdi Yuan · Marc-Alexandre Côté · Zhiyuan Liu · Jian Tang
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1846
Open Graph Benchmark: Datasets for Machine Learning on Graphs
In Poster Session 7
Weihua Hu · Matthias Fey · Marinka Zitnik · Yuxiao Dong · Hongyu Ren · Bowen Liu · Michele Catasta · Jure Leskovec
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1847
Factorizable Graph Convolutional Networks
In Poster Session 7
Yiding Yang · Zunlei Feng · Mingli Song · Xinchao Wang
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1848
Graduated Assignment for Joint Multi-Graph Matching and Clustering with Application to Unsupervised Graph Matching Network Learning
In Poster Session 7
Runzhong Wang · Junchi Yan · Xiaokang Yang
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1849
Natural Graph Networks
In Poster Session 7
Pim de Haan · Taco Cohen · Max Welling
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1850
Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks
In Poster Session 7
Kenta Oono · Taiji Suzuki
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1851
Ridge Rider: Finding Diverse Solutions by Following Eigenvectors of the Hessian
In Poster Session 7
Jack Parker-Holder · Luke Metz · Cinjon Resnick · Hengyuan Hu · Adam Lerer · Alistair Letcher · Alexander Peysakhovich · Aldo Pacchiano · Jakob Foerster
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1852
Sinkhorn Natural Gradient for Generative Models
In Poster Session 7
Zebang Shen · Zhenfu Wang · Alejandro Ribeiro · Hamed Hassani
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1853
Nonconvex Sparse Graph Learning under Laplacian Constrained Graphical Model
In Poster Session 7
Jiaxi Ying · José Vinícius de Miranda Cardoso · Daniel Palomar
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1854
How many samples is a good initial point worth in Low-rank Matrix Recovery?
In Poster Session 7
Jialun Zhang · Richard Y Zhang
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1855
Effective Dimension Adaptive Sketching Methods for Faster Regularized Least-Squares Optimization
In Poster Session 7
Jonathan Lacotte · Mert Pilanci
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1856
Faster Randomized Infeasible Interior Point Methods for Tall/Wide Linear Programs
In Poster Session 7
Agniva Chowdhury · Palma London · Haim Avron · Petros Drineas
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1857
Debiasing Distributed Second Order Optimization with Surrogate Sketching and Scaled Regularization
In Poster Session 7
Michal Derezinski · Burak Bartan · Mert Pilanci · Michael Mahoney
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1858
Tight last-iterate convergence rates for no-regret learning in multi-player games
In Poster Session 7
Noah Golowich · Sarath Pattathil · Constantinos Daskalakis
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1859
A General Large Neighborhood Search Framework for Solving Integer Linear Programs
In Poster Session 7
Jialin Song · ravi lanka · Yisong Yue · Bistra Dilkina
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1860
Sinkhorn Barycenter via Functional Gradient Descent
In Poster Session 7
Zebang Shen · Zhenfu Wang · Alejandro Ribeiro · Hamed Hassani
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1861
Improved Analysis of Clipping Algorithms for Non-convex Optimization
In Poster Session 7
Bohang Zhang · Jikai Jin · Cong Fang · Liwei Wang
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1862
A Continuous-Time Mirror Descent Approach to Sparse Phase Retrieval
In Poster Session 7
Fan Wu · Patrick Rebeschini
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1863
Federated Accelerated Stochastic Gradient Descent
In Poster Session 7
Honglin Yuan · Tengyu Ma
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1864
AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients
In Poster Session 7
Juntang Zhuang · Tommy Tang · Yifan Ding · Sekhar C Tatikonda · Nicha Dvornek · Xenophon Papademetris · James Duncan
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1865
SGD with shuffling: optimal rates without component convexity and large epoch requirements
In Poster Session 7
Kwangjun Ahn · Chulhee Yun · Suvrit Sra
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1866
No-Regret Learning and Mixed Nash Equilibria: They Do Not Mix
In Poster Session 7
Emmanouil-Vasileios Vlatakis-Gkaragkounis · Lampros Flokas · Thanasis Lianeas · Panayotis Mertikopoulos · Georgios Piliouras
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1867
Generalized Leverage Score Sampling for Neural Networks
In Poster Session 7
Jason Lee · Ruoqi Shen · Zhao Song · Mengdi Wang · zheng Yu
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1868
Passport-aware Normalization for Deep Model Protection
In Poster Session 7
Jie Zhang · Dongdong Chen · Jing Liao · Weiming Zhang · Gang Hua · Nenghai Yu
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1869
Model Rubik’s Cube: Twisting Resolution, Depth and Width for TinyNets
In Poster Session 7
Kai Han · Yunhe Wang · Qiulin Zhang · Wei Zhang · Chunjing XU · Tong Zhang
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1870
Neural Networks Fail to Learn Periodic Functions and How to Fix It
In Poster Session 7
Liu Ziyin · Tilman Hartwig · Masahito Ueda
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1871
Finite Versus Infinite Neural Networks: an Empirical Study
In Poster Session 7
Jaehoon Lee · Samuel Schoenholz · Jeffrey Pennington · Ben Adlam · Lechao Xiao · Roman Novak · Jascha Sohl-Dickstein
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1872
Understanding Approximate Fisher Information for Fast Convergence of Natural Gradient Descent in Wide Neural Networks
In Poster Session 7
Ryo Karakida · Kazuki Osawa
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1873
Collegial Ensembles
In Poster Session 7
Etai Littwin · Ben Myara · Sima Sabah · Joshua Susskind · Shuangfei Zhai · Oren Golan
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1874
Accelerating Training of Transformer-Based Language Models with Progressive Layer Dropping
In Poster Session 7
Minjia Zhang · Yuxiong He
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1875
Top-k Training of GANs: Improving GAN Performance by Throwing Away Bad Samples
In Poster Session 7
Samarth Sinha · Zhengli Zhao · Anirudh Goyal · Colin A Raffel · Augustus Odena
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1876
Towards Theoretically Understanding Why Sgd Generalizes Better Than Adam in Deep Learning
In Poster Session 7
Pan Zhou · Jiashi Feng · Chao Ma · Caiming Xiong · Steven Chu Hong Hoi · Weinan E
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1877
A Generalized Neural Tangent Kernel Analysis for Two-layer Neural Networks
In Poster Session 7
Zixiang Chen · Yuan Cao · Quanquan Gu · Tong Zhang
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1878
Delta-STN: Efficient Bilevel Optimization for Neural Networks using Structured Response Jacobians
In Poster Session 7
Juhan Bae · Roger Grosse
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1879
Coresets for Robust Training of Deep Neural Networks against Noisy Labels
In Poster Session 7
Baharan Mirzasoleiman · Kaidi Cao · Jure Leskovec
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1880
Learning Deep Attribution Priors Based On Prior Knowledge
In Poster Session 7
Ethan Weinberger · Joseph Janizek · Su-In Lee
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1881
Estimating Training Data Influence by Tracing Gradient Descent
In Poster Session 7
Garima Pruthi · Frederick Liu · Satyen Kale · Mukund Sundararajan
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1882
Escaping Saddle-Point Faster under Interpolation-like Conditions
In Poster Session 7
Abhishek Roy · Krishnakumar Balasubramanian · Saeed Ghadimi · Prasant Mohapatra
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1883
Learning Loss for Test-Time Augmentation
In Poster Session 7
Ildoo Kim · Younghoon Kim · Sungwoong Kim
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1884
Towards Crowdsourced Training of Large Neural Networks using Decentralized Mixture-of-Experts
In Poster Session 7
Max Ryabinin · Anton Gusev
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1885
MMA Regularization: Decorrelating Weights of Neural Networks by Maximizing the Minimal Angles
In Poster Session 7
Zhennan Wang · Canqun Xiang · Wenbin Zou · Chen Xu
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1886
The Dilemma of TriHard Loss and an Element-Weighted TriHard Loss for Person Re-Identification
In Poster Session 7
Yihao Lv · Youzhi Gu · Liu Xinggao
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1887
Is normalization indispensable for training deep neural network?
In Poster Session 7
Jie Shao · Kai Hu · Changhu Wang · Xiangyang Xue · Bhiksha Raj
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1888
SCOP: Scientific Control for Reliable Neural Network Pruning
In Poster Session 7
Yehui Tang · Yunhe Wang · Yixing Xu · Dacheng Tao · Chunjing XU · Chao Xu · Chang Xu
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1889
Train-by-Reconnect: Decoupling Locations of Weights from Their Values
In Poster Session 7
Yushi Qiu · Reiji Suda
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1890
Deep Metric Learning with Spherical Embedding
In Poster Session 7
Dingyi Zhang · Yingming Li · Zhongfei Zhang
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1891
Kernel Based Progressive Distillation for Adder Neural Networks
In Poster Session 7
Yixing Xu · Chang Xu · Xinghao Chen · Wei Zhang · Chunjing XU · Yunhe Wang
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1892
Top-KAST: Top-K Always Sparse Training
In Poster Session 7
Siddhant Jayakumar · Razvan Pascanu · Jack Rae · Simon Osindero · Erich Elsen
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1893
Task-Oriented Feature Distillation
In Poster Session 7
Linfeng Zhang · Yukang Shi · Zuoqiang Shi · Kaisheng Ma · Chenglong Bao
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1894
Rotated Binary Neural Network
In Poster Session 7
Mingbao Lin · Rongrong Ji · Zihan Xu · Baochang Zhang · Yan Wang · Yongjian Wu · Feiyue Huang · Chia-Wen Lin
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1895
Agree to Disagree: Adaptive Ensemble Knowledge Distillation in Gradient Space
In Poster Session 7
Shangchen Du · Shan You · Xiaojie Li · Jianlong Wu · Fei Wang · Chen Qian · Changshui Zhang
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1896
Sparse Weight Activation Training
In Poster Session 7
Md Aamir Raihan · Tor Aamodt
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1897
Recurrent Quantum Neural Networks
In Poster Session 7
Johannes Bausch
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1898
Efficient Variational Inference for Sparse Deep Learning with Theoretical Guarantee
In Poster Session 7
Jincheng Bai · Qifan Song · Guang Cheng
[ Paper ]