Papers
Backpropagation with Callbacks: Foundations for Efficient and Expressive Differentiable Programming
Fei Wang, James Decker, Xilun Wu et al.
Efficient Anomaly Detection via Matrix Sketching
Vatsal Sharan, Parikshit Gopalan, Udi Wieder
Analysis of Krylov Subspace Solutions of Regularized Non-Convex Quadratic Problems
Yair Carmon, John C. Duchi
Adversarial Risk and Robustness: General Definitions and Implications for the Uniform Distribution
Dimitrios Diochnos, Saeed Mahloujifar, Mohammad Mahmoody
Causal Inference and Mechanism Clustering of A Mixture of Additive Noise Models
Shoubo Hu, Zhitang Chen, Vahid Partovi Nia et al.
Depth-Limited Solving for Imperfect-Information Games
Noam Brown, Tuomas Sandholm, Brandon Amos
ATOMO: Communication-efficient Learning via Atomic Sparsification
Hongyi Wang, Scott Sievert, Shengchao Liu et al.
Training Deep Neural Networks with 8-bit Floating Point Numbers
Naigang Wang, Jungwook Choi, Daniel Brand et al.
The promises and pitfalls of Stochastic Gradient Langevin Dynamics
Nicolas Brosse, Alain Durmus, Eric Moulines
Gradient Sparsification for Communication-Efficient Distributed Optimization
Jianqiao Wangni, Jialei Wang, Ji Liu et al.
Contamination Attacks and Mitigation in Multi-Party Machine Learning
Jamie Hayes, Olga Ohrimenko
Provable Gaussian Embedding with One Observation
Ming Yu, Zhuoran Yang, Tuo Zhao et al.
Differentially Private k-Means with Constant Multiplicative Error
Uri Stemmer, Haim Kaplan
Unorganized Malicious Attacks Detection
Ming Pang, Wei Gao, Min Tao et al.
Hamiltonian Variational Auto-Encoder
Anthony L Caterini, Arnaud Doucet, Dino Sejdinovic
Chain of Reasoning for Visual Question Answering
Chenfei Wu, Jinlai Liu, Xiaojie Wang et al.
Deepcode: Feedback Codes via Deep Learning
Hyeji Kim, Yihan Jiang, Sreeram Kannan et al.
The Convergence of Sparsified Gradient Methods
Dan Alistarh, Torsten Hoefler, Mikael Johansson et al.
Modular Networks: Learning to Decompose Neural Computation
Louis Kirsch, Julius Kunze, David Barber
Q-learning with Nearest Neighbors
Devavrat Shah, Qiaomin Xie
Diverse Ensemble Evolution: Curriculum Data-Model Marriage
Tianyi Zhou, Shengjie Wang, Jeff A. Bilmes
Interpreting Neural Network Judgments via Minimal, Stable, and Symbolic Corrections
Xin Zhang, Armando Solar-Lezama, Rishabh Singh
Distributed k-Clustering for Data with Heavy Noise
Shi Li, Xiangyu Guo
Extracting Relationships by Multi-Domain Matching
Yitong Li, michael Murias, geraldine Dawson et al.