Papers
Multimodal Graph Networks for Compositional Generalization in Visual Question Answering
Raeid Saqur, Karthik Narasimhan
Triple descent and the two kinds of overfitting: where & why do they appear?
Stéphane d'Ascoli, Levent Sagun, Giulio Biroli
Learning Dynamic Belief Graphs to Generalize on Text-Based Games
Ashutosh Adhikari, Xingdi Yuan, Marc-Alexandre Côté et al.
Lamina-specific neuronal properties promote robust, stable signal propagation in feedforward networks
Dongqi Han, Erik De Schutter, Sungho Hong
Fourier Spectrum Discrepancies in Deep Network Generated Images
Tarik Dzanic, Karan Shah, Freddie Witherden
Learning to summarize with human feedback
Nisan Stiennon, Long Ouyang, Jeffrey Wu et al.
Normalizing Kalman Filters for Multivariate Time Series Analysis
Emmanuel de Bézenac, Syama Sundar Rangapuram, Konstantinos Benidis et al.
Adversarial Self-Supervised Contrastive Learning
Minseon Kim, Jihoon Tack, Sung Ju Hwang
Stateful Posted Pricing with Vanishing Regret via Dynamic Deterministic Markov Decision Processes
Yuval Emek, Ron Lavi, Rad Niazadeh et al.
Adversarial Weight Perturbation Helps Robust Generalization
Dongxian Wu, Shu-Tao Xia, Yisen Wang
Learning from Mixtures of Private and Public Populations
Raef Bassily, Shay Moran, Anupama Nandi
Hold me tight! Influence of discriminative features on deep network boundaries
Guillermo Ortiz-Jimenez, Apostolos Modas, Seyed-Mohsen Moosavi et al.
Logarithmic Pruning is All You Need
Laurent Orseau, Marcus Hutter, Omar Rivasplata
Toward the Fundamental Limits of Imitation Learning
Nived Rajaraman, Lin Yang, Jiantao Jiao et al.
Partial Optimal Tranport with applications on Positive-Unlabeled Learning
Laetitia Chapel, Mokhtar Z. Alaya, Gilles Gasso
Partially View-aligned Clustering
Zhenyu Huang, Peng Hu, Joey Tianyi Zhou et al.
What Neural Networks Memorize and Why: Discovering the Long Tail via Influence Estimation
Vitaly Feldman, Chiyuan Zhang
A/B Testing in Dense Large-Scale Networks: Design and Inference
Preetam Nandy, Kinjal Basu, Shaunak Chatterjee et al.
Modular Meta-Learning with Shrinkage
Yutian Chen, Abram L. Friesen, Feryal Behbahani et al.
Geometric All-way Boolean Tensor Decomposition
Changlin Wan, Wennan Chang, Tong Zhao et al.
Implicit Regularization and Convergence for Weight Normalization
Xiaoxia Wu, Edgar Dobriban, Tongzheng Ren et al.
Model-based Policy Optimization with Unsupervised Model Adaptation
Jian Shen, Han Zhao, Weinan Zhang et al.
Finding Second-Order Stationary Points Efficiently in Smooth Nonconvex Linearly Constrained Optimization Problems
Songtao Lu, Meisam Razaviyayn, Bo Yang et al.
Intra-Processing Methods for Debiasing Neural Networks
Yash Savani, Colin White, Naveen Sundar Govindarajulu
Network-to-Network Translation with Conditional Invertible Neural Networks
Robin Rombach, Patrick Esser, Bjorn Ommer