Papers
Learning Semantic-aware Normalization for Generative Adversarial Networks
Heliang Zheng, Jianlong Fu, Yanhong Zeng et al.
Adversarial Crowdsourcing Through Robust Rank-One Matrix Completion
Qianqian Ma, Alex Olshevsky
Weisfeiler and Leman go sparse: Towards scalable higher-order graph embeddings
Christopher Morris, Gaurav Rattan, Petra Mutzel
MOReL: Model-Based Offline Reinforcement Learning
Rahul Kidambi, Aravind Rajeswaran, Praneeth Netrapalli et al.
Hard Negative Mixing for Contrastive Learning
Yannis Kalantidis, Mert Bulent Sariyildiz, Noe Pion et al.
Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning
Zhongzheng Ren, Raymond Yeh, Alexander Schwing
A General Method for Robust Learning from Batches
Ayush Jain, Alon Orlitsky
Minimax Optimal Nonparametric Estimation of Heterogeneous Treatment Effects
Zijun Gao, Yanjun Han
First-Order Methods for Large-Scale Market Equilibrium Computation
Yuan Gao, Christian Kroer
Delta-STN: Efficient Bilevel Optimization for Neural Networks using Structured Response Jacobians
Juhan Bae, Roger B Grosse
Uncertainty-Aware Learning for Zero-Shot Semantic Segmentation
Ping Hu, Stan Sclaroff, Kate Saenko
AOT: Appearance Optimal Transport Based Identity Swapping for Forgery Detection
Hao Zhu, Chaoyou Fu, Qianyi Wu et al.
Strongly Incremental Constituency Parsing with Graph Neural Networks
Kaiyu Yang, Jia Deng
The Convex Relaxation Barrier, Revisited: Tightened Single-Neuron Relaxations for Neural Network Verification
Christian Tjandraatmadja, Ross Anderson, Joey Huchette et al.
Fast Transformers with Clustered Attention
Apoorv Vyas, Angelos Katharopoulos, François Fleuret
Curriculum By Smoothing
Samarth Sinha, Animesh Garg, Hugo Larochelle
Neural Unsigned Distance Fields for Implicit Function Learning
Julian Chibane, Mohamad Aymen mir, Gerard Pons-Moll
H-Mem: Harnessing synaptic plasticity with Hebbian Memory Networks
Thomas Limbacher, Robert A. Legenstein
Distributed Training with Heterogeneous Data: Bridging Median- and Mean-Based Algorithms
Xiangyi Chen, Tiancong Chen, Haoran Sun et al.
Duality-Induced Regularizer for Tensor Factorization Based Knowledge Graph Completion
Zhanqiu Zhang, Jianyu Cai, Jie Wang
High-contrast “gaudy” images improve the training of deep neural network models of visual cortex
Benjamin Cowley, Jonathan W Pillow
Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning
Tianren Zhang, Shangqi Guo, Tian Tan et al.
Quantile Propagation for Wasserstein-Approximate Gaussian Processes
Rui Zhang, Christian Walder, Edwin V. Bonilla et al.
Robust Federated Learning: The Case of Affine Distribution Shifts
Amirhossein Reisizadeh, Farzan Farnia, Ramtin Pedarsani et al.