- #WALKING PAPERS ILLUSION OFFLINE#
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Gemma Elyse Moran, Dhanya Sridhar, Yixin Wang, David Blei, October 2022 Identifiable Deep Generative Models via Sparse Decoding.Wenshuo Guo, Serena Lutong Wang, Peng Ding, Yixin Wang, Michael Jordan, October 2022 Multi-Source Causal Inference Using Control Variates under Outcome Selection Bias.Jary Pomponi, Simone Scardapane, Aurelio Uncini, October 2022 Centroids Matching: an efficient Continual Learning approach operating in the embedding space.Junpei Komiyama, Gustavo Malkomes, Bolong Cheng, Michael McCourt, October 2022
#WALKING PAPERS ILLUSION OFFLINE#
Bridging Offline and Online Experimentation: Constraint Active Search for Deployed Performance Optimization.Mélanie Bernhardt, Fabio De Sousa Ribeiro, Ben Glocker, October 2022 Failure Detection in Medical Image Classification: A Reality Check and Benchmarking Testbed.Saptarshi Saha, Utpal Garain, October 2022
On Noise Abduction for Answering Counterfactual Queries: A Practical Outlook.Using unsupervised learning to detect broken symmetries, with relevance to searches for parity violation in nature.Practicality of generalization guarantees for unsupervised domain adaptation with neural networksĪdam Breitholtz, Fredrik Daniel Johansson, October 2022.Margarita Vinaroz, Mijung Park, October 2022 Differentially Private Stochastic Expectation Propagation.Marco Virgolin, Solon P Pissis, October 2022 Jinhua Zhu, Yingce Xia, Chang Liu, Lijun Wu, Shufang Xie, Yusong Wang, Tong Wang, Tao Qin, Wengang Zhou, Houqiang Li, Haiguang Liu, Tie-Yan Liu, October 2022 Direct Molecular Conformation Generation.Reasonable Effectiveness of Random Weighting: A Litmus Test for Multi-Task Learningīaijiong Lin, Feiyang YE, Yu Zhang, Ivor Tsang, October 2022.
Titouan Vayer, Romain Tavenard, Laetitia Chapel, Rémi Flamary, Nicolas Courty, Yann Soullard, October 2022
#WALKING PAPERS ILLUSION SERIES#
Time Series Alignment with Global Invariances. Nikola Jovanović, Mislav Balunovic, Maximilian Baader, Martin Vechev, October 2022 A Simple Convergence Proof of Adam and AdagradĪlexandre Défossez, Leon Bottou, Francis Bach, Nicolas Usunier, October 2022. INR-V: A Continuous Representation Space for Video-based Generative Tasksīipasha Sen, Aditya Agarwal, Vinay P Namboodiri, C.V. Riyasat Ohib, Nicolas Gillis, Niccolo Dalmasso, Sameena Shah, Vamsi K. Explicit Group Sparse Projection with Applications to Deep Learning and NMF. Luca Weihs, Amanda Yuile, Renée Baillargeon, Cynthia Fisher, Gary Marcus, Roozbeh Mottaghi, Aniruddha Kembhavi, October 2022 Benchmarking Progress to Infant-Level Physical Reasoning in AI. Distributed Stochastic Algorithms for High-rate Streaming Principal Component Analysis. James Langley, Miguel Monteiro, Charles Jones, Nick Pawlowski, Ben Glocker, October 2022 
Structured Uncertainty in the Observation Space of Variational Autoencoders. Leo Schwinn, Doina Precup, Bjoern Eskofier, Dario Zanca, October 2022 Behind the Machine’s Gaze: Neural Networks with Biologically-inspired Constraints Exhibit Human-like Visual Attention. Rulin Shao, Zhouxing Shi, Jinfeng Yi, Pin-Yu Chen, Cho-Jui Hsieh, November 2022 On the Adversarial Robustness of Vision Transformers. Prateek Gupta, Elias Boutros Khalil, Didier Chételat, Maxime Gasse, Andrea Lodi, Yoshua Bengio, M. Srivatsan Krishnan, Max Lam, Sharad Chitlangia, Zishen Wan, Gabriel Barth-maron, Aleksandra Faust, Vijay Janapa Reddi, November 2022ĭimitar Iliev Dimitrov, Mislav Balunovic, Nikola Konstantinov, Martin Vechev, November 2022 QuaRL: Quantization for Fast and Environmentally Sustainable Reinforcement Learning. Kaichen zhou, Lanqing HONG, Shoukang Hu, Fengwei Zhou, Binxin Ru, Jiashi Feng, Zhenguo Li, November 2022 DHA: End-to-End Joint Optimization of Data Augmentation Policy, Hyper-parameter and Architecture.
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