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Poster
Fri Jul 17 12:00 AM -- 12:45 AM & Fri Jul 17 11:00 AM -- 11:45 AM (KST) @ Virtual
An Imitation Learning Approach for Cache Replacement
In Poster Session 43
Evan Liu · Milad Hashemi · Kevin Swersky · Parthasarathy Ranganathan · Junwhan Ahn
[ Slides] 
Poster
Fri Jul 17 12:00 AM -- 12:45 AM & Fri Jul 17 11:00 AM -- 11:45 AM (KST) @ Virtual
Coresets for Data-efficient Training of Machine Learning Models
In Poster Session 43
Baharan Mirzasoleiman · Jeff Bilmes · Jure Leskovec
[ Slides] 
Poster
Fri Jul 17 12:00 AM -- 12:45 AM & Fri Jul 17 12:00 PM -- 12:45 PM (KST)
Parameter-free, Dynamic, and Strongly-Adaptive Online Learning
In Poster Session 43
Ashok Cutkosky
Poster
Fri Jul 17 12:00 AM -- 12:45 AM & Fri Jul 17 11:00 AM -- 11:45 AM (KST)
SGD Learns One-Layer Networks in WGANs
In Poster Session 43
Qi Lei · Jason Lee · Alexandros Dimakis · Constantinos Daskalakis
Poster
Fri Jul 17 12:00 AM -- 12:45 AM & Fri Jul 17 11:00 AM -- 11:45 AM (KST)
Domain Aggregation Networks for Multi-Source Domain Adaptation
In Poster Session 43
Junfeng Wen · Russell Greiner · Dale Schuurmans
Poster
Fri Jul 17 12:00 AM -- 12:45 AM & Fri Jul 17 11:00 AM -- 11:45 AM (KST)
Emergence of Separable Manifolds in Deep Language Representations
In Poster Session 43
Jonathan Mamou · Hang Le · Miguel A del Rio Fernandez · Cory Stephenson · Hanlin Tang · Yoon Kim · SueYeon Chung
Poster
Fri Jul 17 12:00 AM -- 12:45 AM & Fri Jul 17 11:00 AM -- 11:45 AM (KST)
Collapsed Amortized Variational Inference for Switching Nonlinear Dynamical Systems
In Poster Session 43
Zhe Dong · Bryan Seybold · Kevin Murphy · Hung Bui
Poster
Fri Jul 17 12:00 AM -- 12:45 AM & Fri Jul 17 12:00 PM -- 12:45 PM (KST)
Model Fusion with Kullback--Leibler Divergence
In Poster Session 43
Sebastian Claici · Mikhail Yurochkin · Soumya Ghosh · Justin Solomon
Poster
Fri Jul 17 12:00 AM -- 12:45 AM & Fri Jul 17 11:00 AM -- 11:45 AM (KST)
Momentum-Based Policy Gradient Methods
In Poster Session 43
Feihu Huang · Shangqian Gao · Jian Pei · Heng Huang
Poster
Fri Jul 17 12:00 AM -- 12:45 AM & Fri Jul 17 11:00 AM -- 11:45 AM (KST) @ Virtual
Non-convex Learning via Replica Exchange Stochastic Gradient MCMC
In Poster Session 43
Wei Deng · Qi Feng · Liyao Gao · Faming Liang · Guang Lin
[ Slides] 
Poster
Fri Jul 17 12:00 AM -- 12:45 AM & Fri Jul 17 11:00 AM -- 11:45 AM (KST) @ Virtual
Principled learning method for Wasserstein distributionally robust optimization with local perturbations
In Poster Session 43
Yongchan Kwon · Wonyoung Kim · Joong-Ho (Johann) Won · Myunghee Cho Paik
[ Slides] 
Poster
Fri Jul 17 12:00 AM -- 12:45 AM & Fri Jul 17 11:00 AM -- 11:45 AM (KST) @ Virtual
Minimax Pareto Fairness: A Multi Objective Perspective
In Poster Session 43
Natalia Martinez Gil · Martin Bertran · Guillermo Sapiro
[ Slides] 
Poster
Fri Jul 17 12:00 AM -- 12:45 AM & Fri Jul 17 11:00 AM -- 11:45 AM (KST)
Certified Data Removal from Machine Learning Models
In Poster Session 43
Chuan Guo · Tom Goldstein · Awni Hannun · Laurens van der Maaten
Poster
Fri Jul 17 12:00 AM -- 12:45 AM & Fri Jul 17 11:00 AM -- 11:45 AM (KST)
One-shot Distributed Ridge Regression in High Dimensions
In Poster Session 43
Yue Sheng · Edgar Dobriban
Poster
Fri Jul 17 12:00 AM -- 12:45 AM & Fri Jul 17 11:00 AM -- 11:45 AM (KST)
Cost-Effective Interactive Attention Learning with Neural Attention Processes
In Poster Session 43
Jay Heo · Junhyeon Park · Hyewon Jeong · Kwang Joon Kim · Juho Lee · Eunho Yang · Sung Ju Hwang
Poster
Fri Jul 17 12:00 AM -- 12:45 AM & Fri Jul 17 11:00 AM -- 11:45 AM (KST)
The Performance Analysis of Generalized Margin Maximizers on Separable Data
In Poster Session 43
Fariborz Salehi · Ehsan Abbasi · Babak Hassibi
Poster
Fri Jul 17 12:00 AM -- 12:45 AM & Fri Jul 17 11:00 AM -- 11:45 AM (KST) @ Virtual
Visual Grounding of Learned Physical Models
In Poster Session 43
Yunzhu Li · Toru Lin · Kexin Yi · Daniel Bear · Daniel Yamins · Jiajun Wu · Josh Tenenbaum · Antonio Torralba
[ Slides] 
Poster
Fri Jul 17 12:00 AM -- 12:45 AM & Fri Jul 17 11:00 AM -- 11:45 AM (KST)
Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs
In Poster Session 43
Meng Qu · Tianyu Gao · Louis-Pascal Xhonneux · Jian Tang
Poster
Fri Jul 17 12:00 AM -- 12:45 AM & Fri Jul 17 12:00 PM -- 12:45 PM (KST) @ Virtual
One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control
In Poster Session 43
Wenlong Huang · Igor Mordatch · Deepak Pathak
[ Slides] 
Poster
Fri Jul 17 12:00 AM -- 12:45 AM & Fri Jul 17 11:00 AM -- 11:45 AM (KST)
Generalized and Scalable Optimal Sparse Decision Trees
In Poster Session 43
Jimmy Lin · Chudi Zhong · Diane Hu · Cynthia Rudin · Margo Seltzer
Poster
Fri Jul 17 12:00 AM -- 12:45 AM & Fri Jul 17 11:00 AM -- 11:45 AM (KST)
Gradient Temporal-Difference Learning with Regularized Corrections
In Poster Session 43
Sina Ghiassian · Andrew Patterson · Shivam Garg · Dhawal Gupta · Adam White · Martha White
Poster
Fri Jul 17 12:00 AM -- 12:45 AM & Fri Jul 17 11:00 AM -- 11:45 AM (KST) @ Virtual
UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training
In Poster Session 43
Hangbo Bao · Li Dong · Furu Wei · Wenhui Wang · Nan Yang · Xiaodong Liu · Yu Wang · Jianfeng Gao · Songhao Piao · Ming Zhou · Hsiao-Wuen Hon
[ Slides] 
Poster
Fri Jul 17 12:00 AM -- 12:45 AM & Fri Jul 17 11:00 AM -- 11:45 AM (KST)
Generalization and Representational Limits of Graph Neural Networks
In Poster Session 43
Vikas K Garg · Stefanie Jegelka · Tommi Jaakkola
Poster
Fri Jul 17 12:00 AM -- 12:45 AM & Fri Jul 17 11:00 AM -- 11:45 AM (KST)
Learning Human Objectives by Evaluating Hypothetical Behavior
In Poster Session 43
Siddharth Reddy · Anca Dragan · Sergey Levine · Shane Legg · Jan Leike
Poster
Fri Jul 17 12:00 AM -- 12:45 AM & Fri Jul 17 11:00 AM -- 11:45 AM (KST)
High-dimensional Robust Mean Estimation via Gradient Descent
In Poster Session 43
Yu Cheng · Ilias Diakonikolas · Rong Ge · Mahdi Soltanolkotabi
Poster
Fri Jul 17 12:00 AM -- 12:45 AM & Fri Jul 17 11:00 AM -- 11:45 AM (KST)
Learning Mixtures of Graphs from Epidemic Cascades
In Poster Session 43
Jessica Hoffmann · Soumya Basu · Surbhi Goel · Constantine Caramanis
Poster
Fri Jul 17 12:00 AM -- 12:45 AM & Fri Jul 17 12:00 PM -- 12:45 PM (KST) @ Virtual
Provably Convergent Two-Timescale Off-Policy Actor-Critic with Function Approximation
In Poster Session 43
Shangtong Zhang · Bo Liu · Hengshuai Yao · Shimon Whiteson
[ Slides] 
Poster
Fri Jul 17 12:00 AM -- 12:45 AM & Fri Jul 17 11:00 AM -- 11:45 AM (KST)
AR-DAE: Towards Unbiased Neural Entropy Gradient Estimation
In Poster Session 43
Jae Hyun Lim · Aaron Courville · Christopher Pal · Chin-Wei Huang
Poster
Fri Jul 17 12:00 AM -- 12:45 AM & Fri Jul 17 11:00 AM -- 11:45 AM (KST)
Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks
In Poster Session 43
Zhishuai Guo · Mingrui Liu · Zhuoning Yuan · Li Shen · Wei Liu · Tianbao Yang
Poster
Fri Jul 17 12:00 AM -- 12:45 AM & Fri Jul 17 11:00 AM -- 11:45 AM (KST)
Optimizing Data Usage via Differentiable Rewards
In Poster Session 43
Xinyi Wang · Hieu Pham · Paul Michel · Antonios Anastasopoulos · Jaime Carbonell · Graham Neubig
Poster
Fri Jul 17 12:00 AM -- 12:45 AM & Fri Jul 17 11:00 AM -- 11:45 AM (KST) @ Virtual
Beyond Synthetic Noise: Deep Learning on Controlled Noisy Labels
In Poster Session 43
Lu Jiang · Di Huang · Mason Liu · Weilong Yang
[ Slides] 
Poster
Fri Jul 17 12:00 AM -- 12:45 AM & Fri Jul 17 11:00 AM -- 11:45 AM (KST)
Defense Through Diverse Directions
In Poster Session 43
Christopher Bender · Yang Li · Yifeng Shi · Michael K. Reiter · Junier Oliva
Poster
Fri Jul 17 12:00 AM -- 12:45 AM & Fri Jul 17 11:00 AM -- 11:45 AM (KST)
Sparse Sinkhorn Attention
In Poster Session 43
Yi Tay · Dara Bahri · Liu Yang · Don Metzler · Da-Cheng Juan
Poster
Fri Jul 17 12:00 AM -- 12:45 AM & Fri Jul 17 11:00 AM -- 11:45 AM (KST)
Progressive Identification of True Labels for Partial-Label Learning
In Poster Session 43
Jiaqi Lv · Miao Xu · LEI FENG · Gang Niu · Xin Geng · Masashi Sugiyama