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• DIBS: Diversity Inducing Information Bottleneck in Model Ensembles

  Samarth Sinha, Homanga Bharadhwaj, Anirudh Goyal, Hugo Larochelle, Animesh Garg, Florian Shkurti

  9666-9674

  2021-05-18

• Judgment Prediction via Injecting Legal Knowledge into Neural Networks

  Leilei Gan, Kun Kuang, Yi Yang, Fei Wu

  12866-12874

  2021-05-18

• Assumed Density Filtering Methods for Learning Bayesian Neural Networks

  Soumya Ghosh, Francesco Delle Fave, Jonathan Yedidia

  2016-02-21

• Hierarchical Attention Network with Correction for Cross-Domain User Association

  Wenlong Liu, Ze Wang, Chenlong Wu, Yude Bai, Ji Zhang

  15351-15359

  2026-03-14

• THink: Inferring Cognitive Status from Subtle Behaviors

  Randall Davis, David J. Libon, Rhoda Au, David Pitman, Dana L. Penney

  2898-2905

  2014-07-27

• Inferring Prototypes for Multi-Label Few-Shot Image Classification with Word Vector Guided Attention

  Kun Yan, Chenbin Zhang, Jun Hou, Ping Wang, Zied Bouraoui, Shoaib Jameel, Steven Schockaert

  2991-2999

  2022-06-28

• From Behavioral Theories to Econometrics: Inferring Preferences of Human Agents from Data on Repeated Interactions

  Gali Noti

  5637-5646

  2021-05-18

• Attr2Style: A Transfer Learning Approach for Inferring Fashion Styles via Apparel Attributes

  Rajdeep H Banerjee, Abhinav Ravi, Ujjal Kr Dutta

  15255-15261

  2021-05-18

• Unified Embedding Alignment with Missing Views Inferring for Incomplete Multi-View Clustering

  Jie Wen, Zheng Zhang, Yong Xu, Bob Zhang, Lunke Fei, Hong Liu

  5393-5400

  2019-07-17

• Inferring Camouflaged Objects by Texture-Aware Interactive Guidance Network

  Jinchao Zhu, Xiaoyu Zhang, Shuo Zhang, Junnan Liu

  3599-3607

  2021-05-18

• Inferring Multiple Tissue Properties from Magnetic Resonance Fingerprinting Images

  Naren Nallapareddy, Soumya Ray

  12587-12593

  2022-06-28

• I See What You See: Inferring Sensor and Policy Models of Human Real-World Motor Behavior

  Felix Schmitt, Hans-Joachim Bieg, Michael Herman, Constantin Rothkopf

  2017-02-12

• Local Justice and Machine Learning: Modeling and Inferring Dynamic Ethical Preferences toward Allocations

  Violet (Xinying) Chen, Joshua Williams, Derek Leben, Hoda Heidari

  5956-5964

  2023-06-26

• Relieving Universal Label Noise for Unsupervised Visible-Infrared Person Re-Identification by Inferring from Neighbors

  Xiao Teng, Long Lan, Dingyao Chen, Kele Xu, Nan Yin

  7356-7364

  2025-04-11

• Seeing the Unseen Network: Inferring Hidden Social Ties from Respondent-Driven Sampling

  Lin Chen, Forrest Crawford, Amin Karbasi

  2016-02-21

• Inferring Multi-Dimensional Ideal Points for US Supreme Court Justices

  Mohammad Islam, K. S. M. Hossain, Siddharth Krishnan, Naren Ramakrishnan

  2016-02-20

• Zero-shot Recommendation: Towards Class Semantic Relation Learning for Inferring Labels of Unseen Micro-videos

  Junyang Chen, Huan Wang, Yirui Wu, Qiuzhen Lin, Yunfeng Diao, Junkai Ji

  20163-20171

  2026-03-14

• Inferring Latent User Properties from Texts Published in Social Media

  Svitlana Volkova, Yoram Bachrach, Michael Armstrong, Vijay Sharma

  2015-03-04

• Relating Romanized Comments to News Articles by Inferring Multi-Glyphic Topical Correspondence

  Goutham Tholpadi, Mrinal Das, Trapit Bansal, Chiranjib Bhattacharyya

  2015-02-09

• Find Objects and Focus on Highlights: Mining Object Semantics for Video Highlight Detection via Graph Neural Networks

  Yingying Zhang, Junyu Gao, Xiaoshan Yang, Chang Liu, Yan Li, Changsheng Xu

  12902-12909

  2020-04-03

• Theoretically Principled Deep RL Acceleration via Nearest Neighbor Function Approximation

  Junhong Shen, Lin F. Yang

  9558-9566

  2021-05-18

• 3D Visibility-Aware Generalizable Neural Radiance Fields for Interacting Hands

  Xuan Huang, Hanhui Li, Zejun Yang, Zhisheng Wang, Xiaodan Liang

  2400-2408

  2024-03-24

• ReGANIE: Rectifying GAN Inversion Errors for Accurate Real Image Editing

  Bingchuan Li, Tianxiang Ma, Peng Zhang, Miao Hua, Wei Liu, Qian He, Zili Yi

  1269-1277

  2023-06-26

• CcDPM: A Continuous Conditional Diffusion Probabilistic Model for Inverse Design

  Yanxuan Zhao, Peng Zhang, Guopeng Sun, Zhigong Yang, Jianqiang Chen, Yueqing Wang

  17033-17041

  2024-03-24

• SPD-DDPM: Denoising Diffusion Probabilistic Models in the Symmetric Positive Definite Space

  Yunchen Li, Zhou Yu, Gaoqi He, Yunhang Shen, Ke Li, Xing Sun, Shaohui Lin

  13709-13717

  2024-03-24