Papers
Soft Contrastive Learning for Visual Localization
Janine Thoma, Danda Pani Paudel, Luc V. Gool
Belief-Dependent Macro-Action Discovery in POMDPs using the Value of Information
Genevieve Flaspohler, Nicholas A. Roy, John W. Fisher III
Hybrid Variance-Reduced SGD Algorithms For Minimax Problems with Nonconvex-Linear Function
Quoc Tran Dinh, Deyi Liu, Lam Nguyen
Fair Performance Metric Elicitation
Gaurush Hiranandani, Harikrishna Narasimhan, Sanmi Koyejo
Phase retrieval in high dimensions: Statistical and computational phase transitions
Antoine Maillard, Bruno Loureiro, Florent Krzakala et al.
A Decentralized Parallel Algorithm for Training Generative Adversarial Nets
Mingrui Liu, Wei Zhang, Youssef Mroueh et al.
The Smoothed Possibility of Social Choice
Lirong Xia
VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain
Jinsung Yoon, Yao Zhang, James Jordon et al.
Understanding Double Descent Requires A Fine-Grained Bias-Variance Decomposition
Ben Adlam, Jeffrey Pennington
Mix and Match: An Optimistic Tree-Search Approach for Learning Models from Mixture Distributions
Matthew Faw, Rajat Sen, Karthikeyan Shanmugam et al.
Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding
Victor Veitch, Anisha Zaveri
Learning Some Popular Gaussian Graphical Models without Condition Number Bounds
Jonathan Kelner, Frederic Koehler, Raghu Meka et al.
Discovering conflicting groups in signed networks
Ruo-Chun Tzeng, Bruno Ordozgoiti, Aristides Gionis
Robust, Accurate Stochastic Optimization for Variational Inference
Akash Kumar Dhaka, Alejandro Catalina, Michael R Andersen et al.
Provably Consistent Partial-Label Learning
Lei Feng, Jiaqi Lv, Bo Han et al.
SCOP: Scientific Control for Reliable Neural Network Pruning
Yehui Tang, Yunhe Wang, Yixing Xu et al.
Lipschitz Bounds and Provably Robust Training by Laplacian Smoothing
Vishaal Krishnan, Abed AlRahman Al Makdah, Fabio Pasqualetti
GAIT-prop: A biologically plausible learning rule derived from backpropagation of error
Nasir Ahmad, Marcel A. J. van Gerven, Luca Ambrogioni
General Transportability of Soft Interventions: Completeness Results
Juan Correa, Elias Bareinboim
SURF: A Simple, Universal, Robust, Fast Distribution Learning Algorithm
Yi Hao, Ayush Jain, Alon Orlitsky et al.
Discover, Hallucinate, and Adapt: Open Compound Domain Adaptation for Semantic Segmentation
KwanYong Park, Sanghyun Woo, Inkyu Shin et al.
Estimating Fluctuations in Neural Representations of Uncertain Environments
Sahand Farhoodi, Mark Plitt, Lisa Giocomo et al.
Incorporating BERT into Parallel Sequence Decoding with Adapters
Junliang Guo, Zhirui Zhang, Linli Xu et al.
Learning Compositional Rules via Neural Program Synthesis
Maxwell Nye, Armando Solar-Lezama, Josh Tenenbaum et al.