Papers
Hierarchical Decision Making by Generating and Following Natural Language Instructions
Hengyuan Hu, Denis Yarats, Qucheng Gong et al.
Faster width-dependent algorithm for mixed packing and covering LPs
Digvijay Boob, Saurabh Sawlani, Di Wang
Breaking the Glass Ceiling for Embedding-Based Classifiers for Large Output Spaces
Chuan Guo, Ali Mousavi, Xiang Wu et al.
Uncertainty on Asynchronous Time Event Prediction
Marin Biloš, Bertrand Charpentier, Stephan Günnemann
Transfer Anomaly Detection by Inferring Latent Domain Representations
Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara
Offline Contextual Bayesian Optimization
Ian Char, Youngseog Chung, Willie Neiswanger et al.
Logarithmic Regret for Online Control
Naman Agarwal, Elad Hazan, Karan Singh
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