Papers
On the Expressive Power of Overlapping Architectures of Deep Learning
Or Sharir, Amnon Shashua
On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups
Risi Kondor, Shubhendu Trivedi
On the Global Convergence of Gradient Descent for Over-parameterized Models using Optimal Transport
Lénaïc Chizat, Francis Bach
On the Help of Bounded Shot Verifiers, Comparators and Standardisers
for Learnability in Inductive Inference
Ziyuan Gao, Sanjay Jain, Frank Stephan et al.
On the Impact of Various Types of Noise on Neural Machine Translation
Huda Khayrallah, Philipp Koehn
On the Implicit Bias of Dropout
Poorya Mianjy, Raman Arora, Rene Vidal
On the Importance of Label Quality for Semantic Segmentation
Aleksandar Zlateski, Ronnachai Jaroensri, Prafull Sharma et al.
On the importance of single directions for generalization
Ari S. Morcos, David G.T. Barrett, Neil C. Rabinowitz et al.
On the Information Bottleneck Theory of Deep Learning
Andrew Michael Saxe, Yamini Bansal, Joel Dapello et al.
On the insufficiency of existing momentum schemes for Stochastic Optimization
Rahul Kidambi, Praneeth Netrapalli, Prateek Jain et al.
On the interaction between Autonomous Mobility-on-Demand systems and the power network: models and coordination algorithms
Federico Rossi, Ramon Iglesias, Mahnoosh Alizadeh et al.
On the Limitations of First-Order Approximation in GAN Dynamics
Jerry Li, Aleksander Madry, John Peebles et al.
On the Limitations of Unsupervised Bilingual Dictionary Induction
Anders Søgaard, Sebastian Ruder, Ivan Vulić
On the Local Hessian in Back-propagation
Huishuai Zhang, Wei Chen, Tie-Yan Liu
On the Local Minima of the Empirical Risk
Chi Jin, Lydia T. Liu, Rong Ge et al.
On the Logical Properties of the Description Logic DL^N (Extended abstract)
Piero A. Bonatti, Luigi Sauro
On the Optimization of Deep Networks: Implicit Acceleration by Overparameterization
Sanjeev Arora, Nadav Cohen, Elad Hazan
On the Practical Computational Power of Finite Precision RNNs for Language Recognition
Gail Weiss, Yoav Goldberg, Eran Yahav
On the regularization of Wasserstein GANs
Henning Petzka, Asja Fischer, Denis Lukovnikov
On the Relation between Linguistic Typology and (Limitations of) Multilingual Language Modeling
Daniela Gerz, Ivan Vulić, Edoardo Maria Ponti et al.
On the Relationship between Data Efficiency and Error for Uncertainty Sampling
Stephen Mussmann, Percy Liang
On the Relationship between Glottal Pulse Shape and Its Spectrum: Correlations of Open Quotient, Pulse Skew and Peak Flow with Source Harmonic Amplitudes
Christer Gobl, Andy Murphy, Irena Yanushevskaya et al.
On the Relative Expressiveness of Bayesian and Neural Networks
Arthur Choi, Adnan Darwiche
On the Robustness of Semantic Segmentation Models to Adversarial Attacks
Anurag Arnab, Ondrej Miksik, Philip H.S. Torr