Embrace the Gap: VAEs Perform Independent Mechanism Analysis (Englisch)
- Neue Suche nach: Reizinger, Patrik
- Neue Suche nach: Gresele, Luigi
- Neue Suche nach: Brady, Jack
- Neue Suche nach: von Kügelgen, Julius
- Neue Suche nach: Zietlow, Dominik
- Neue Suche nach: Schölkopf, Bernhard
- Neue Suche nach: Martius, Georg
- Neue Suche nach: Brendel, Wieland
- Neue Suche nach: Besserve, Michel
- Neue Suche nach: Reizinger, Patrik
- Neue Suche nach: Gresele, Luigi
- Neue Suche nach: Brady, Jack
- Neue Suche nach: von Kügelgen, Julius
- Neue Suche nach: Zietlow, Dominik
- Neue Suche nach: Schölkopf, Bernhard
- Neue Suche nach: Martius, Georg
- Neue Suche nach: Brendel, Wieland
- Neue Suche nach: Besserve, Michel
In:
36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 16 of 50
; 12040-12057
;
2023
- Aufsatz (Konferenz) / Print
-
Titel:Embrace the Gap: VAEs Perform Independent Mechanism Analysis
-
Beteiligte:Reizinger, Patrik ( Autor:in ) / Gresele, Luigi ( Autor:in ) / Brady, Jack ( Autor:in ) / von Kügelgen, Julius ( Autor:in ) / Zietlow, Dominik ( Autor:in ) / Schölkopf, Bernhard ( Autor:in ) / Martius, Georg ( Autor:in ) / Brendel, Wieland ( Autor:in ) / Besserve, Michel ( Autor:in )
-
Kongress:NeurIPS ; 36. ; 2022 ; New Orleans, La.; Online
-
Erschienen in:
-
Verlag:
- Neue Suche nach: Curran Associates, Inc.
-
Erscheinungsort:Red Hook, NY
-
Erscheinungsdatum:2023
-
Medientyp:Aufsatz (Konferenz)
-
Format:Print
-
Sprache:Englisch
-
Datenquelle:
Die Inhaltsverzeichnisse werden automatisch erzeugt und basieren auf den im Index des TIB-Portals verfügbaren Einzelnachweisen der enthaltenen Beiträge. Die Anzeige der Inhaltsverzeichnisse kann daher unvollständig oder lückenhaft sein.
- 11547
-
Neural Collapse with Normalized Features: A Geometric Analysis over the Riemannian ManifoldYaras, Can / Wang, Peng / Zhu, Zhihui / Balzano, Laura / Qu, Qing et al. | 2023
- 11561
-
Conformalized Fairness via Quantile RegressionLiu, Meichen / Ding, Lei / Yu, Dengdeng / Liu, Wulong / Kong, Linglong / Jiang, Bei et al. | 2023
- 11573
-
Efficient Methods for Non-stationary Online LearningZhao, Peng / Xie, Yan-Feng / Zhang, Lijun / Zhou, Zhi-Hua et al. | 2023
- 11586
-
Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested SubspacesPapenmeier, Leonard / Nardi, Luigi / Poloczek, Matthias et al. | 2023
- 11602
-
ACIL: Analytic Class-Incremental Learning with Absolute Memorization and Privacy ProtectionZHUANG, HUIPING / Weng, Zhenyu / Wei, Hongxin / XIE, RENCHUNZI / Toh, Kar-Ann / Lin, Zhiping et al. | 2023
- 11615
-
MsSVT: Mixed-scale Sparse Voxel Transformer for 3D Object Detection on Point CloudsDong, Shaocong / Ding, Lihe / Wang, Haiyang / Xu, Tingfa / Xu, Xinli / Wang, Jie / Bian, Ziyang / Wang, Ying / Li, Jianan et al. | 2023
- 11629
-
Deterministic Langevin Monte Carlo with Normalizing Flows for Bayesian InferenceGrumitt, Richard / Dai, Biwei / Seljak, Uros et al. | 2023
- 11642
-
Evolution of Neural Tangent Kernels under Benign and Adversarial TrainingLoo, Noel / Hasani, Ramin / Amini, Alexander / Rus, Daniela et al. | 2023
- 11658
-
Zero-Sum Stochastic Stackelberg GamesGoktas, Denizalp / Zhao, Sadie / Greenwald, Amy et al. | 2023
- 11673
-
Evaluating Out-of-Distribution Performance on Document Image ClassifiersLarson, Stefan / Lim, Yi Yang Gordon / Ai, Yutong / Kuang, David / Leach, Kevin et al. | 2023
- 11686
-
Distributed Learning of Conditional Quantiles in the Reproducing Kernel Hilbert SpaceLian, Heng et al. | 2023
- 11697
-
Spatial Mixture-of-ExpertsDryden, Nikoli / Hoefler, Torsten et al. | 2023
- 11714
-
Amortized Mixing Coupling Processes for ClusteringLiu, Huafeng / Jing, Liping et al. | 2023
- 11726
-
Hilbert Distillation for Cross-Dimensionality NetworksQin, Dian / Wang, Haishuai / Liu, Zhe / XU, HONGJIA / Zhou, Sheng / Bu, Jiajun et al. | 2023
- 11739
-
Provably Efficient Offline Multi-agent Reinforcement Learning via Strategy-wise BonusCui, Qiwen / Du, Simon S et al. | 2023
- 11752
-
A Best-of-Both-Worlds Algorithm for Bandits with Delayed FeedbackMasoudian, Saeed / Zimmert, Julian / Seldin, Yevgeny et al. | 2023
- 11763
-
LIFT: Language-Interfaced Fine-Tuning for Non-language Machine Learning TasksDinh, Tuan / Zeng, Yuchen / Zhang, Ruisu / Lin, Ziqian / Gira, Michael / Rajput, Shashank / Sohn, Jy-yong / Papailiopoulos, Dimitris / Lee, Kangwook et al. | 2023
- 11785
-
Capturing Failures of Large Language Models via Human Cognitive BiasesJones, Erik / Steinhardt, Jacob et al. | 2023
- 11800
-
Template based Graph Neural Network with Optimal Transport DistancesVincent-Cuaz, Cédric / Flamary, Rémi / Corneli, Marco / Vayer, Titouan / Courty, Nicolas et al. | 2023
- 11815
-
Knowledge Distillation Improves Graph Structure Augmentation for Graph Neural NetworksWu, Lirong / Lin, Haitao / Huang, Yufei / Li, Stan Z. et al. | 2023
- 11828
-
Learning Invariant Graph Representations for Out-of-Distribution GeneralizationLi, Haoyang / Zhang, Ziwei / Wang, Xin / Zhu, Wenwu et al. | 2023
- 11842
-
A Quadrature Rule combining Control Variates and Adaptive Importance SamplingLeluc, Rémi / Portier, François / Segers, Johan / Zhuman, Aigerim et al. | 2023
- 11854
-
GAL: Gradient Assisted Learning for Decentralized Multi-Organization CollaborationsDiao, Enmao / Ding, Jie / Tarokh, Vahid et al. | 2023
- 11869
-
Direct Advantage EstimationPan, Hsiao-Ru / Gürtler, Nico / Neitz, Alexander / Schölkopf, Bernhard et al. | 2023
- 11881
-
Honor of Kings Arena: an Environment for Generalization in Competitive Reinforcement LearningWei, Hua / Chen, Jingxiao / Ji, Xiyang / Qin, Hongyang / Deng, Minwen / Li, Siqin / Wang, Liang / Zhang, Weinan / Yu, Yong / Linc, Liu et al. | 2023
- 11893
-
On the Symmetries of Deep Learning Models and their Internal RepresentationsGodfrey, Charles / Brown, Davis / Emerson, Tegan / Kvinge, Henry et al. | 2023
- 11906
-
TabNAS: Rejection Sampling for Neural Architecture Search on Tabular DatasetsYang, Chengrun / Bender, Gabriel / Liu, Hanxiao / Kindermans, Pieter-Jan / Udell, Madeleine / Lu, Yifeng / Le, Quoc V / Huang, Da et al. | 2023
- 11918
-
Embed and Emulate: Learning to estimate parameters of dynamical systems with uncertainty quantificationJiang, Ruoxi / Willett, Rebecca et al. | 2023
- 11934
-
A Differentiable Semantic Metric Approximation in Probabilistic Embedding for Cross-Modal RetrievalLi, Hao / Song, Jingkuan / Gao, Lianli / Zeng, Pengpeng / Zhang, Haonan / Li, Gongfu et al. | 2023
- 11947
-
Friendly Noise against Adversarial Noise: A Powerful Defense against Data Poisoning AttackLiu, Tian Yu / Yang, Yu / Mirzasoleiman, Baharan et al. | 2023
- 11960
-
Dict-TTS: Learning to Pronounce with Prior Dictionary Knowledge for Text-to-SpeechJiang, Ziyue / Su, Zhe / Zhao, Zhou / Yang, Qian / Ren, Yi / Liu, Jinglin / 叶, 振辉 et al. | 2023
- 11975
-
AZ-whiteness test: a test for signal uncorrelation on spatio-temporal graphsZambon, Daniele / Alippi, Cesare et al. | 2023
- 11987
-
ViSioNS: Visual Search in Natural Scenes BenchmarkTravi, Fermín / Ruarte, Gonzalo / Bujia, Gaston / Kamienkowski, Juan Esteban et al. | 2023
- 12001
-
Value Function Decomposition for Iterative Design of Reinforcement Learning AgentsMacGlashan, James / Archer, Evan / Devlic, Alisa / Seno, Takuma / Sherstan, Craig / Wurman, Peter / Stone, Peter et al. | 2023
- 12014
-
HandMeThat: Human-Robot Communication in Physical and Social EnvironmentsWan, Yanming / Mao, Jiayuan / Tenenbaum, Josh et al. | 2023
- 12027
-
Task-Agnostic Graph ExplanationsXie, Yaochen / Katariya, Sumeet / Tang, Xianfeng / Huang, Edward / Rao, Nikhil / Subbian, Karthik / Ji, Shuiwang et al. | 2023
- 12040
-
Embrace the Gap: VAEs Perform Independent Mechanism AnalysisReizinger, Patrik / Gresele, Luigi / Brady, Jack / von Kügelgen, Julius / Zietlow, Dominik / Schölkopf, Bernhard / Martius, Georg / Brendel, Wieland / Besserve, Michel et al. | 2023
- 12058
-
Dataset Inference for Self-Supervised ModelsDziedzic, Adam / Duan, Haonan / Kaleem, Muhammad Ahmad / Dhawan, Nikita / Guan, Jonas / Cattan, Yannis / Boenisch, Franziska / Papernot, Nicolas et al. | 2023
- 12071
-
Statistically Meaningful Approximation: a Case Study on Approximating Turing Machines with TransformersWei, Colin / Chen, Yining / Ma, Tengyu et al. | 2023
- 12084
-
Improved Feature Distillation via Projector EnsembleChen, Yudong / Wang, Sen / Liu, Jiajun / Xu, Xuwei / de Hoog, Frank / Huang, Zi et al. | 2023
- 12096
-
Does GNN Pretraining Help Molecular Representation?Sun, Ruoxi / Dai, Hanjun / Yu, Adams Wei et al. | 2023
- 12110
-
ULNeF: Untangled Layered Neural Fields for Mix-and-Match Virtual Try-OnSantesteban, Igor / Otaduy, Miguel / Thuerey, Nils / Casas, Dan et al. | 2023
- 12126
-
Introspective Learning : A Two-Stage approach for Inference in Neural NetworksPrabhushankar, Mohit / AlRegib, Ghassan et al. | 2023
- 12141
-
Bayesian Active Learning with Fully Bayesian Gaussian ProcessesRiis, Christoffer / Antunes, Francisco / Hüttel, Frederik / Lima Azevedo, Carlos / Pereira, Francisco et al. | 2023
- 12154
-
E-MAPP: Efficient Multi-Agent Reinforcement Learning with Parallel Program GuidanceChang, Can / Mu, Ni / Wu, Jiajun / Pan, Ling / Xu, Huazhe et al. | 2023
- 12169
-
In Defense of the Unitary Scalarization for Deep Multi-Task LearningKurin, Vitaly / De Palma, Alessandro / Kostrikov, Ilya / Whiteson, Shimon / Mudigonda, Pawan K et al. | 2023
- 12184
-
Flexible Neural Image Compression via Code EditingGao, Chenjian / Xu, Tongda / He, Dailan / Wang, Yan / Qin, Hongwei et al. | 2023
- 12197
-
Homomorphic Matrix CompletionLiu, Xiao-Yang / Li, Zechu (Steven) / Wang, Xiaodong et al. | 2023
- 12211
-
Spending Thinking Time Wisely: Accelerating MCTS with Virtual ExpansionsYe, Weirui / Abbeel, Pieter / Gao, Yang et al. | 2023
- 12225
-
Intrinsic dimensionality estimation using Normalizing FlowsHorvat, Christian / Pfister, Jean-Pascal et al. | 2023
- 12237
-
Moment Distributionally Robust Tree Structured PredictionLi, Yeshu / Saeed, Danyal / Zhang, Xinhua / Ziebart, Brian / Gimpel, Kevin et al. | 2023
- 12253
-
Minimax Optimal Fixed-Budget Best Arm Identification in Linear BanditsYang, Junwen / Tan, Vincent et al. | 2023
- 12267
-
Tempo: Accelerating Transformer-Based Model Training through Memory Footprint ReductionAndoorveedu, Muralidhar / Zhu, Zhanda / Zheng, Bojian / Pekhimenko, Gennady et al. | 2023
- 12283
-
I2DFormer: Learning Image to Document Attention for Zero-Shot Image ClassificationNaeem, Muhammad Ferjad / Xian, Yongqin / Gool, Luc V / Tombari, Federico et al. | 2023
- 12295
-
Benchmarking Heterogeneous Treatment Effect Models through the Lens of InterpretabilityCrabbé, Jonathan / Curth, Alicia / Bica, Ioana / van der Schaar, Mihaela et al. | 2023
- 12310
-
AD-DROP: Attribution-Driven Dropout for Robust Language Model Fine-TuningYang, Tao / Deng, JInghao / Quan, Xiaojun / Wang, Qifan / Nie, Shaoliang et al. | 2023
- 12325
-
Reinforced Genetic Algorithm for Structure-based Drug DesignFu, Tianfan / Gao, Wenhao / Coley, Connor / Sun, Jimeng et al. | 2023