Papers
A Convex Relaxation Barrier to Tight Robustness Verification of Neural Networks
Hadi Salman, Greg Yang, Huan Zhang et al.
Sample Complexity of Learning Mixture of Sparse Linear Regressions
Akshay Krishnamurthy, Arya Mazumdar, Andrew McGregor et al.
Inverting Deep Generative models, One layer at a time
Qi Lei, Ajil Jalal, Inderjit S Dhillon et al.
Diffusion Improves Graph Learning
Johannes Gasteiger, Stefan Weißenberger, Stephan Günnemann
What the Vec? Towards Probabilistically Grounded Embeddings
Carl Allen, Ivana Balazevic, Timothy Hospedales
Nonlinear scaling of resource allocation in sensory bottlenecks
Laura Rose Edmondson, Alejandro Jimenez Rodriguez, Hannes P. Saal
DetNAS: Backbone Search for Object Detection
Yukang Chen, Tong Yang, Xiangyu Zhang et al.
Turbo Autoencoder: Deep learning based channel codes for point-to-point communication channels
Yihan Jiang, Hyeji Kim, Himanshu Asnani et al.
Learning Neural Networks with Adaptive Regularization
Han Zhao, Yao-Hung Hubert Tsai, Ruslan Salakhutdinov et al.
ANODEV2: A Coupled Neural ODE Framework
Tianjun Zhang, Zhewei Yao, Amir Gholami et al.
Neural Trust Region/Proximal Policy Optimization Attains Globally Optimal Policy
Boyi Liu, Qi Cai, Zhuoran Yang et al.
Structured and Deep Similarity Matching via Structured and Deep Hebbian Networks
Dina Obeid, Hugo Ramambason, Cengiz Pehlevan
Multi-Criteria Dimensionality Reduction with Applications to Fairness
Uthaipon Tantipongpipat, Samira Samadi, Mohit Singh et al.
Regularizing Trajectory Optimization with Denoising Autoencoders
Rinu Boney, Norman Di Palo, Mathias Berglund et al.
Efficient Smooth Non-Convex Stochastic Compositional Optimization via Stochastic Recursive Gradient Descent
Wenqing Hu, Chris Junchi Li, Xiangru Lian et al.
Augmented Neural ODEs
Emilien Dupont, Arnaud Doucet, Yee Whye Teh
Locality-Sensitive Hashing for f-Divergences: Mutual Information Loss and Beyond
Lin Chen, Hossein Esfandiari, Gang Fu et al.
Causal Regularization
Dominik Janzing
Generalization in multitask deep neural classifiers: a statistical physics approach
Anthony Ndirango, Tyler Lee
High-Quality Self-Supervised Deep Image Denoising
Samuli Laine, Tero Karras, Jaakko Lehtinen et al.
Batched Multi-armed Bandits Problem
Zijun Gao, Yanjun Han, Zhimei Ren et al.
MaCow: Masked Convolutional Generative Flow
Xuezhe Ma, Xiang Kong, Shanghang Zhang et al.
Likelihood-Free Overcomplete ICA and Applications In Causal Discovery
Chenwei DING, Mingming Gong, Kun Zhang et al.
Assessing Social and Intersectional Biases in Contextualized Word Representations
Yi Chern Tan, L. Elisa Celis
Multiclass Performance Metric Elicitation
Gaurush Hiranandani, Shant Boodaghians, Ruta Mehta et al.