Papers
Game Design for Eliciting Distinguishable Behavior
Fan Yang, Liu Leqi, Yifan Wu et al.
Hamiltonian descent for composite objectives
Brendan O'Donoghue, Chris J. Maddison
A New Defense Against Adversarial Images: Turning a Weakness into a Strength
Shengyuan Hu, Tao Yu, Chuan Guo et al.
Making AI Forget You: Data Deletion in Machine Learning
Antonio Ginart, Melody Guan, Gregory Valiant et al.
Equitable Stable Matchings in Quadratic Time
Nikolaos Tziavelis, Ioannis Giannakopoulos, Katerina Doka et al.
Online Normalization for Training Neural Networks
Vitaliy Chiley, Ilya Sharapov, Atli Kosson et al.
Quantum Embedding of Knowledge for Reasoning
Dinesh Garg, Shajith Ikbal, Santosh K. Srivastava et al.
Learning Nonsymmetric Determinantal Point Processes
Mike Gartrell, Victor-Emmanuel Brunel, Elvis Dohmatob et al.
Dynamics of stochastic gradient descent for two-layer neural networks in the teacher-student setup
Sebastian Goldt, Madhu Advani, Andrew M Saxe et al.
Time-series Generative Adversarial Networks
Jinsung Yoon, Daniel Jarrett, Mihaela van der Schaar
Asymptotic Guarantees for Learning Generative Models with the Sliced-Wasserstein Distance
Kimia Nadjahi, Alain Durmus, Umut Simsekli et al.
Iterative Least Trimmed Squares for Mixed Linear Regression
Yanyao Shen, Sujay Sanghavi
Superset Technique for Approximate Recovery in One-Bit Compressed Sensing
Larkin Flodin, Venkata Gandikota, Arya Mazumdar
Goal-conditioned Imitation Learning
Yiming Ding, Carlos Florensa, Pieter Abbeel et al.
Planning with Goal-Conditioned Policies
Soroush Nasiriany, Vitchyr Pong, Steven Lin et al.
Search-Guided, Lightly-Supervised Training of Structured Prediction Energy Networks
Amirmohammad Rooshenas, Dongxu Zhang, Gopal Sharma et al.
Efficiently Learning Fourier Sparse Set Functions
Andisheh Amrollahi, Amir Zandieh, Michael Kapralov et al.
ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks
Jiasen Lu, Dhruv Batra, Devi Parikh et al.
Catastrophic Forgetting Meets Negative Transfer: Batch Spectral Shrinkage for Safe Transfer Learning
Xinyang Chen, Sinan Wang, Bo Fu et al.
Transfer Learning via Minimizing the Performance Gap Between Domains
Boyu Wang, Jorge Mendez, Mingbo Cai et al.
Input Similarity from the Neural Network Perspective
Guillaume Charpiat, Nicolas Girard, Loris Felardos et al.
Implicit Regularization of Accelerated Methods in Hilbert Spaces
Nicolò Pagliana, Lorenzo Rosasco
A Necessary and Sufficient Stability Notion for Adaptive Generalization
Moshe Shenfeld, Katrina Ligett
Rethinking Kernel Methods for Node Representation Learning on Graphs
Yu Tian, Long Zhao, Xi Peng et al.
Surround Modulation: A Bio-inspired Connectivity Structure for Convolutional Neural Networks
Hosein Hasani, Mahdieh Soleymani, Hamid Aghajan