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$$\texttt{pfl-research}$: simulation framework for accelerating research in Private Federated Learning$

Neural Information Processing Systems Foundation, Inc. (NeurIPS)

$\texttt{pfl-research}$: simulation framework for accelerating research in Private Federated Learning

Áine Cahill, Yi Sheng Chan, Mona Chitnis, Xiaojun Feng, Filip Granqvist, Vojta Jina, Natarajan Krishnaswami, Martin Pelikan, Congzheng Song, Rogier van Dalen p43403-43434 from Advances in Neural Information Processing Systems 37

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$$\texttt{TACO}$: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning$

Neural Information Processing Systems Foundation, Inc. (NeurIPS)

$\texttt{TACO}$: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning

Hal Daumé III, Furong Huang, Shuang Ma, Yanchao Sun, Xiyao Wang, Huazhe Xu, Jieyu Zhao, Ruijie Zheng p48203-48225 from Advances in Neural Information Processing Systems 36

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$$\text{Di}^2\text{Pose}$: Discrete Diffusion Model for Occluded 3D Human Pose Estimation$

Neural Information Processing Systems Foundation, Inc. (NeurIPS)

$\text{Di}^2\text{Pose}$: Discrete Diffusion Model for Occluded 3D Human Pose Estimation

Long Chen, Wei Liu, Chunping Wang, Weiquan Wang, Zhao Wang, Jun Xiao p98717-98741 from Advances in Neural Information Processing Systems 37

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$$\text{ID}^3$: Identity-Preserving-yet-Diversified Diffusion Models for Synthetic Face Recognition$

Neural Information Processing Systems Foundation, Inc. (NeurIPS)

$\text{ID}^3$: Identity-Preserving-yet-Diversified Diffusion Models for Synthetic Face Recognition

Ailin Deng, Shouhong Ding, Wenjie Feng, Bryan Hooi, Yuge Huang, Jiazhen Ji, Shen Li, Guodong Mu, Jiaying Wu, Miao Xiong, Jianqing Xu p77777-77798 from Advances in Neural Information Processing Systems 37

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$$\varepsilon$-fractional core stability in Hedonic Games.$

Neural Information Processing Systems Foundation, Inc. (NeurIPS)

$\varepsilon$-fractional core stability in Hedonic Games.

Simone Fioravanti, Michele Flammini, Bojana Kodric, Giovanna Varricchio p28723-28734 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

(Almost) Provable Error Bounds Under Distribution Shift via Disagreement Discrepancy

Saurabh Garg, Elan Rosenfeld p28761-28784 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

(Amplified) Banded Matrix Factorization: A unified approach to private training

Christopher A. Choquette-Choo, Arun Ganesh, Abhradeep Guha Thakurta, Ryan McKenna, H. Brendan McMahan, John Rush, Zheng Xu p74856-74889 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

(De-)Randomized Smoothing for Decision Stump Ensembles

Marc Fischer, Miklós Horváth, Mark Müller, Martin Vechev p3066-3081 from Advances in Neural Information Processing Systems 35

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

(FL)$^2$: Overcoming Few Labels in Federated Semi-Supervised Learning

Thanh-Long V. Le, Seungjoo Lee, Sung-Ju Lee, Jaemin Shin p43693-43714 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

(Optimal) Online Bipartite Matching with Degree Information

Anders Aamand, Justin Chen, Piotr Indyk p5724-5737 from Advances in Neural Information Processing Systems 35

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International Astronautical Federation (IAF)

(Re)claiming Damage: Can Fear and Anxiety Related to Space Technology Be Recovered Under the 1972 Liability Convention?

Iva Ramuš Cvetkovic p886-892 from IISL Colloquium on the Law of Outer Space

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

(S)GD over Diagonal Linear Networks: Implicit bias, Large Stepsizes and Edge of Stability

Mathieu Even, Nicolas Flammarion, Suriya Gunasekar, Scott Pesme p29406-29448 from Advances in Neural Information Processing Systems 36

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Paper

$\texttt{pfl-research}$: simulation framework for accelerating research in Private Federated Learning

$\texttt{TACO}$: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning

$\text{Di}^2\text{Pose}$: Discrete Diffusion Model for Occluded 3D Human Pose Estimation

$\text{ID}^3$: Identity-Preserving-yet-Diversified Diffusion Models for Synthetic Face Recognition

$\varepsilon$-fractional core stability in Hedonic Games.

(Almost) Provable Error Bounds Under Distribution Shift via Disagreement Discrepancy

(Amplified) Banded Matrix Factorization: A unified approach to private training

(De-)Randomized Smoothing for Decision Stump Ensembles

(FL)$^2$: Overcoming Few Labels in Federated Semi-Supervised Learning

(Optimal) Online Bipartite Matching with Degree Information

(Re)claiming Damage: Can Fear and Anxiety Related to Space Technology Be Recovered Under the 1972 Liability Convention?

(S)GD over Diagonal Linear Networks: Implicit bias, Large Stepsizes and Edge of Stability

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