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Proceedings of the AAAI Conference on Artificial Intelligence
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Found 25136 items.
Decentralized Multi-Agent Linear Bandits with Safety Constraints
Sanae Amani, Christos Thrampoulidis
6627-6635
2021-05-18
Computing an Efficient Exploration Basis for Learning with Univariate Polynomial Features
Chaitanya Amballa, Manu K. Gupta, Sanjay P. Bhat
6636-6643
2021-05-18
Noise Estimation Using Density Estimation for Self-Supervised Multimodal Learning
Elad Amrani, Rami Ben-Ari, Daniel Rotman, Alex Bronstein
6644-6652
2021-05-18
An Enhanced Advising Model in Teacher-Student Framework using State Categorization
Daksh Anand, Vaibhav Gupta, Praveen Paruchuri, Balaraman Ravindran
6653-6660
2021-05-18
On Lipschitz Regularization of Convolutional Layers using Toeplitz Matrix Theory
Alexandre Araujo, Benjamin Negrevergne, Yann Chevaleyre, Jamal Atif
6661-6669
2021-05-18
The Tractability of SHAP-Score-Based Explanations for Classification over Deterministic and Decomposable Boolean Circuits
Marcelo Arenas, Pablo Barceló, Leopoldo Bertossi, Mikaël Monet
6670-6678
2021-05-18
TabNet: Attentive Interpretable Tabular Learning
Sercan Ö. Arik, Tomas Pfister
6679-6687
2021-05-18
Robust Model Compression Using Deep Hypotheses
Omri Armstrong, Ran Gilad-Bachrach
6688-6695
2021-05-18
Deep Radial-Basis Value Functions for Continuous Control
Kavosh Asadi, Neev Parikh, Ronald E. Parr, George D. Konidaris, Michael L. Littman
6696-6704
2021-05-18
DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation
Haoyue Bai, Rui Sun, Lanqing Hong, Fengwei Zhou, Nanyang Ye, Han-Jia Ye, S.-H. Gary Chan, Zhenguo Li
6705-6713
2021-05-18
Correlative Channel-Aware Fusion for Multi-View Time Series Classification
Yue Bai, Lichen Wang, Zhiqiang Tao, Sheng Li, Yun Fu
6714-6722
2021-05-18
Deterministic Mini-batch Sequencing for Training Deep Neural Networks
Subhankar Banerjee, Shayok Chakraborty
6723-6731
2021-05-18
Relative Variational Intrinsic Control
Kate Baumli, David Warde-Farley, Steven Hansen, Volodymyr Mnih
6732-6740
2021-05-18
A Theory of Independent Mechanisms for Extrapolation in Generative Models
Michel Besserve, Remy Sun, Dominik Janzing, Bernhard Schölkopf
6741-6749
2021-05-18
ExGAN: Adversarial Generation of Extreme Samples
Siddharth Bhatia, Arjit Jain, Bryan Hooi
6750-6758
2021-05-18
Ordinal Historical Dependence in Graphical Event Models with Tree Representations
Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian
6759-6767
2021-05-18
Characterizing the Loss Landscape in Non-Negative Matrix Factorization
Johan Bjorck, Anmol Kabra, Kilian Q. Weinberger, Carla Gomes
6768-6776
2021-05-18
Understanding Decoupled and Early Weight Decay
Johan Bjorck, Kilian Q. Weinberger, Carla Gomes
6777-6785
2021-05-18
Communication-Aware Collaborative Learning
Avrim Blum, Shelby Heinecke, Lev Reyzin
6786-6793
2021-05-18
Stochastic Precision Ensemble: Self-Knowledge Distillation for Quantized Deep Neural Networks
Yoonho Boo, Sungho Shin, Jungwook Choi, Wonyong Sung
6794-6802
2021-05-18
Fast Training of Provably Robust Neural Networks by SingleProp
Akhilan Boopathy, Lily Weng, Sijia Liu, Pin-Yu Chen, Gaoyuan Zhang, Luca Daniel
6803-6811
2021-05-18
Sample-Specific Output Constraints for Neural Networks
Mathis Brosowsky, Florian Keck, Olaf Dünkel, Marius Zöllner
6812-6821
2021-05-18
Fairness, Semi-Supervised Learning, and More: A General Framework for Clustering with Stochastic Pairwise Constraints
Brian Brubach, Darshan Chakrabarti, John P. Dickerson, Aravind Srinivasan, Leonidas Tsepenekas
6822-6830
2021-05-18
Improving Ensemble Robustness by Collaboratively Promoting and Demoting Adversarial Robustness
Anh Tuan Bui, Trung Le, He Zhao, Paul Montague, Olivier deVel, Tamas Abraham, Dinh Phung
6831-6839
2021-05-18
Cascade Size Distributions: Why They Matter and How to Compute Them Efficiently
Rebekka Burkholz, John Quackenbush
6840-6849
2021-05-18
5801 - 5825 of 25136 items
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