Papers
Correlation clustering with local objectives
Sanchit Kalhan, Konstantin Makarychev, Timothy Zhou
Defending Neural Backdoors via Generative Distribution Modeling
Ximing Qiao, Yukun Yang, Hai Li
Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs
Jonas Kubilius, Martin Schrimpf, Kohitij Kar et al.
Towards Automatic Concept-based Explanations
Amirata Ghorbani, James Wexler, James Y Zou et al.
A Polynomial Time Algorithm for Log-Concave Maximum Likelihood via Locally Exponential Families
Brian Axelrod, Ilias Diakonikolas, Alistair Stewart et al.
Towards Understanding the Importance of Shortcut Connections in Residual Networks
Tianyi Liu, Minshuo Chen, Mo Zhou et al.
Neural Networks with Cheap Differential Operators
Ricky T. Q. Chen, David K. Duvenaud
Shallow RNN: Accurate Time-series Classification on Resource Constrained Devices
Don Dennis, Durmus Alp Emre Acar, Vikram Mandikal et al.
Group Retention when Using Machine Learning in Sequential Decision Making: the Interplay between User Dynamics and Fairness
Xueru Zhang, Mohammadmahdi Khaliligarekani, Cem Tekin et al.
Exponential Family Estimation via Adversarial Dynamics Embedding
Bo Dai, Zhen Liu, Hanjun Dai et al.
Communication-efficient Distributed SGD with Sketching
Nikita Ivkin, Daniel Rothchild, Enayat Ullah et al.
Addressing Failure Prediction by Learning Model Confidence
Charles Corbière, Nicolas THOME, Avner Bar-Hen et al.
Rethinking Deep Neural Network Ownership Verification: Embedding Passports to Defeat Ambiguity Attacks
Lixin Fan, Kam Woh Ng, Chee Seng Chan
Guided Similarity Separation for Image Retrieval
Chundi Liu, Guangwei Yu, Maksims Volkovs et al.
Adversarial training for free!
Ali Shafahi, Mahyar Najibi, Mohammad Amin Ghiasi et al.
Comparison Against Task Driven Artificial Neural Networks Reveals Functional Properties in Mouse Visual Cortex
Jianghong Shi, Eric Shea-Brown, Michael Buice
Efficiently escaping saddle points on manifolds
Christopher Criscitiello, Nicolas Boumal
Fast Structured Decoding for Sequence Models
Zhiqing Sun, Zhuohan Li, Haoqing Wang et al.
Fast Efficient Hyperparameter Tuning for Policy Gradient Methods
Supratik Paul, Vitaly Kurin, Shimon Whiteson
Unsupervised Co-Learning on G-Manifolds Across Irreducible Representations
Yifeng Fan, Tingran Gao, Zhizhen Jane Zhao
Near Neighbor: Who is the Fairest of Them All?
Sariel Har-Peled, Sepideh Mahabadi
DATA: Differentiable ArchiTecture Approximation
Jianlong Chang, xinbang zhang, Yiwen Guo et al.
Wasserstein Weisfeiler-Lehman Graph Kernels
Matteo Togninalli, Elisabetta Ghisu, Felipe Llinares-López et al.