Papers
Searching for Efficient Multi-Scale Architectures for Dense Image Prediction
Liang-Chieh Chen, Maxwell Collins, Yukun Zhu et al.
Geometry Based Data Generation
Ofir Lindenbaum, Jay Stanley, Guy Wolf et al.
Fairness Through Computationally-Bounded Awareness
Michael Kim, Omer Reingold, Guy Rothblum
Group Equivariant Capsule Networks
Jan Eric Lenssen, Matthias Fey, Pascal Libuschewski
Unsupervised Image-to-Image Translation Using Domain-Specific Variational Information Bound
Hadi Kazemi, Sobhan Soleymani, Fariborz Taherkhani et al.
M-Walk: Learning to Walk over Graphs using Monte Carlo Tree Search
Yelong Shen, Jianshu Chen, Po-Sen Huang et al.
Beyond Log-concavity: Provable Guarantees for Sampling Multi-modal Distributions using Simulated Tempering Langevin Monte Carlo
Holden Lee, Andrej Risteski, Rong Ge
Context-aware Synthesis and Placement of Object Instances
Donghoon Lee, Sifei Liu, Jinwei Gu et al.
Community Exploration: From Offline Optimization to Online Learning
Xiaowei Chen, Weiran Huang, Wei Chen et al.
Explanations based on the Missing: Towards Contrastive Explanations with Pertinent Negatives
Amit Dhurandhar, Pin-Yu Chen, Ronny Luss et al.
Deep Homogeneous Mixture Models: Representation, Separation, and Approximation
Priyank Jaini, Pascal Poupart, Yaoliang Yu
Graphical Generative Adversarial Networks
Chongxuan LI, Max Welling, Jun Zhu et al.
Estimators for Multivariate Information Measures in General Probability Spaces
Arman Rahimzamani, Himanshu Asnani, Pramod Viswanath et al.
FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification
Yixiao Ge, Zhuowan Li, Haiyu Zhao et al.
Submodular Field Grammars: Representation, Inference, and Application to Image Parsing
Abram L. Friesen, Pedro M Domingos
Cooperative Learning of Audio and Video Models from Self-Supervised Synchronization
Bruno Korbar, Du Tran, Lorenzo Torresani
Sublinear Time Low-Rank Approximation of Distance Matrices
Ainesh Bakshi, David Woodruff
Blockwise Parallel Decoding for Deep Autoregressive Models
Mitchell Stern, Noam Shazeer, Jakob Uszkoreit
Global Geometry of Multichannel Sparse Blind Deconvolution on the Sphere
Yanjun Li, Yoram Bresler
Trading robust representations for sample complexity through self-supervised visual experience
Andrea Tacchetti, Stephen Voinea, Georgios Evangelopoulos
Deep Attentive Tracking via Reciprocative Learning
Shi Pu, Yibing Song, Chao Ma et al.
Scaling Gaussian Process Regression with Derivatives
David Eriksson, Kun Dong, Eric Lee et al.
Distributed Multi-Player Bandits - a Game of Thrones Approach
Ilai Bistritz, Amir Leshem
Out of the Box: Reasoning with Graph Convolution Nets for Factual Visual Question Answering
Medhini Narasimhan, Svetlana Lazebnik, Alexander Schwing