Papers
Chained Representation Cycling: Learning to Estimate 3D Human Pose and Shape by Cycling Between Representations
Nadine Rueegg, Christoph Lassner, Michael Black et al.
Linear Context Transform Block
Dongsheng Ruan, Jun Wen, Nenggan Zheng et al.
Generative Continual Concept Learning
Mohammad Rostami, Soheil Kolouri, Praveen Pilly et al.
Actionable Ethics through Neural Learning
Daniele Rossini, Danilo Croce, Sara Mancini et al.
Ensembles of Locally Independent Prediction Models
Andrew Ross, Weiwei Pan, Leo Celi et al.
On the Role of Weight Sharing During Deep Option Learning
Matthew Riemer, Ignacio Cases, Clemens Rosenbaum et al.
Fairness for Robust Log Loss Classification
Ashkan Rezaei, Rizal Fathony, Omid Memarrast et al.
Delay-Adaptive Distributed Stochastic Optimization
Zhaolin Ren, Zhengyuan Zhou, Linhai Qiu et al.
DARB: A Density-Adaptive Regular-Block Pruning for Deep Neural Networks
Ren Ao, Zhang Tao, Wang Yuhao et al.
Optimizing Nondecomposable Data Dependent Regularizers via Lagrangian Reparameterization Offers Significant Performance and Efficiency Gains
Sathya N. Ravi, Abhay Venkatesh, Glenn M. Fung et al.
Abstract Interpretation of Decision Tree Ensemble Classifiers
Francesco Ranzato, Marco Zanella
ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations
Ekagra Ranjan, Soumya Sanyal, Partha Talukdar
Synthesizing Action Sequences for Modifying Model Decisions
Goutham Ramakrishnan, Yun Chan Lee, Aws Albarghouthi
How Should an Agent Practice?
Janarthanan Rajendran, Richard Lewis, Vivek Veeriah et al.
A New Burrows Wheeler Transform Markov Distance
Edward Raff, Charles Nicholas, Mark McLean
Temporal Network Embedding with High-Order Nonlinear Information
Zhenyu Qiu, Wenbin Hu, Jia Wu et al.
Stochastic Approximate Gradient Descent via the Langevin Algorithm
Yixuan Qiu, Xiao Wang
Diversified Bayesian Nonnegative Matrix Factorization
Qiao Maoying, Yu Jun, Liu Tongliang et al.
CAG: A Real-Time Low-Cost Enhanced-Robustness High-Transferability Content-Aware Adversarial Attack Generator
Huy Phan, Yi Xie, Siyu Liao et al.
Generalized Hidden Parameter MDPs:Transferable Model-Based RL in a Handful of Trials
Christian Perez, Felipe Petroski Such, Theofanis Karaletsos
A Bayesian Approach for Estimating Causal Effects from Observational Data
Johan Pensar, Topi Talvitie, Antti Hyttinen et al.
Motif-Matching Based Subgraph-Level Attentional Convolutional Network for Graph Classification
Hao Peng, Jianxin Li, Qiran Gong et al.
Achieving Fairness in the Stochastic Multi-Armed Bandit Problem
Vishakha Patil, Ganesh Ghalme, Vineet Nair et al.
Unsupervised Attributed Multiplex Network Embedding
Chanyoung Park, Donghyun Kim, Jiawei Han et al.
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
Aldo Pareja, Giacomo Domeniconi, Jie Chen et al.