Papers
Learning Deterministic Weighted Automata with Queries and Counterexamples
Gail Weiss, Yoav Goldberg, Eran Yahav
On Testing for Biases in Peer Review
Ivan Stelmakh, Nihar Shah, Aarti Singh
Learning Disentangled Representation for Robust Person Re-identification
Chanho Eom, Bumsub Ham
Cross-Modal Learning with Adversarial Samples
CHAO LI, Shangqian Gao, Cheng Deng et al.
Learning elementary structures for 3D shape generation and matching
Theo Deprelle, Thibault Groueix, Matthew Fisher et al.
Guided Meta-Policy Search
Russell Mendonca, Abhishek Gupta, Rosen Kralev et al.
ResNets Ensemble via the Feynman-Kac Formalism to Improve Natural and Robust Accuracies
Bao Wang, Zuoqiang Shi, Stanley Osher
Deep Signature Transforms
Patrick Kidger, Patric Bonnier, Imanol Perez Arribas et al.
Fast Decomposable Submodular Function Minimization using Constrained Total Variation
Senanayak Sesh Kumar Karri, Francis Bach, Thomas Pock
Deep Random Splines for Point Process Intensity Estimation of Neural Population Data
Gabriel Loaiza-Ganem, Sean Perkins, Karen Schroeder et al.
Fast Sparse Group Lasso
Yasutoshi Ida, Yasuhiro Fujiwara, Hisashi Kashima
Qsparse-local-SGD: Distributed SGD with Quantization, Sparsification and Local Computations
Debraj Basu, Deepesh Data, Can Karakus et al.
Compiler Auto-Vectorization with Imitation Learning
Charith Mendis, Cambridge Yang, Yewen Pu et al.
Learn, Imagine and Create: Text-to-Image Generation from Prior Knowledge
Tingting Qiao, Jing Zhang, Duanqing Xu et al.
Comparing Unsupervised Word Translation Methods Step by Step
Mareike Hartmann, Yova Kementchedjhieva, Anders Søgaard
Exact Combinatorial Optimization with Graph Convolutional Neural Networks
Maxime Gasse, Didier Chetelat, Nicola Ferroni et al.
Bandits with Feedback Graphs and Switching Costs
Raman Arora, Teodor Vanislavov Marinov, Mehryar Mohri
Kernel Truncated Randomized Ridge Regression: Optimal Rates and Low Noise Acceleration
Kwang-Sung Jun, Ashok Cutkosky, Francesco Orabona
Consistency-based Semi-supervised Learning for Object detection
Jisoo Jeong, Seungeui Lee, Jeesoo Kim et al.
Re-examination of the Role of Latent Variables in Sequence Modeling
Guokun Lai, Zihang Dai, Yiming Yang et al.
Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds
Bo Yang, Jianan Wang, Ronald Clark et al.
Social-BiGAT: Multimodal Trajectory Forecasting using Bicycle-GAN and Graph Attention Networks
Vineet Kosaraju, Amir Sadeghian, Roberto Martín-Martín et al.
Efficient Graph Generation with Graph Recurrent Attention Networks
Renjie Liao, Yujia Li, Yang Song et al.
Learning step sizes for unfolded sparse coding
Pierre Ablin, Thomas Moreau, Mathurin Massias et al.
Self-supervised GAN: Analysis and Improvement with Multi-class Minimax Game
Ngoc-Trung Tran, Viet-Hung Tran, Bao-Ngoc Nguyen et al.