output
20062020
most citedSlimmable Neural Networks

235 citations

39 papers

cs.LG2020★ 2 cited

Adaptive Learning of Rank-One Models for Efficient Pairwise Sequence Alignment

Govinda M. Kamath, Tavor Z. Baharav, Ilan Shomorony

Pairwise alignment of DNA sequencing data is a ubiquitous task in bioinformatics and typically represents a heavy computational burden. State-of-the-art approaches to speed up this…

cs.IT2020★ 2 cited

Deepcode and Modulo-SK are Designed for Different Settings

Hyeji Kim, Yihan Jiang, Sreeram Kannan +2

We respond to [1] which claimed that "Modulo-SK scheme outperforms Deepcode [2]". We demonstrate that this statement is not true: the two schemes are designed and evaluated for ent…

stat.ML2020★ 23 cited

Picasso: A Sparse Learning Library for High Dimensional Data Analysis in R and Python

Jason Ge, Xingguo Li, Haoming Jiang +4

We describe a new library named picasso, which implements a unified framework of pathwise coordinate optimization for a variety of sparse learning problems (e.g., sparse linear reg…

cs.LG2020★ 8 cited

On implicit regularization: Morse functions and applications to matrix factorization

Mohamed Ali Belabbas

In this paper, we revisit implicit regularization from the ground up using notions from dynamical systems and invariant subspaces of Morse functions. The key contributions are a ne…

cs.CL2020★ 9 cited

Adaptive Parameterization for Neural Dialogue Generation

Hengyi Cai, Hongshen Chen, Cheng Zhang +3

Neural conversation systems generate responses based on the sequence-to-sequence (SEQ2SEQ) paradigm. Typically, the model is equipped with a single set of learned parameters to gen…

eess.SY2020★ 2 cited

Geometric Motion Planning for Affine Control Systems with Indefinite Boundary Conditions and Free Terminal Time

Shenyu Liu, Yinai Fan, Mohamed-Ali Belabbas

The problem of motion planning for affine control systems consists of designing control inputs that drive a system from a well-defined initial to final states in a desired amount o…