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• Inferring Implicit Goals Across Differing Task Models

  Silvia Tulli, Stylianos Loukas Vasileiou, Mohamed CHETOUANI, Sarath Sreedharan

  17760-17768

  2026-03-14

• Inferring Nighttime Satellite Imagery from Human Mobility

  Brian Dickinson, Gourab Ghoshal, Xerxes Dotiwalla, Adam Sadilek, Henry Kautz

  394-402

  2020-04-03

• Inferring Robot Task Plans from Human Team Meetings: A Generative Modeling Approach with Logic-Based Prior

  Been Kim, Caleb Chacha, Julie Shah

  1394-1400

  2013-06-29

• Sensing Surface Patches in Volume Rendering for Inferring Signed Distance Functions

  Sijia Jiang, Tong Wu, Jing Hua, Zhizhong Han

  4066-4074

  2025-04-11

• Weakly-Supervised Temporal Action Localization by Inferring Salient Snippet-Feature

  Wulian Yun, Mengshi Qi, Chuanming Wang, Huadong Ma

  6908-6916

  2024-03-24

• Inferring Causal Directions in Errors-in-Variables Models

  Yulai Zhang, Guiming Luo

  2014-06-21

• VCapsBench: A Large-scale Fine-grained Benchmark for Video Caption Quality Evaluation

  Shi-Xue Zhang, Hongfa Wang, Duojun Huang, Xin Li, Xiaobin Zhu, Xu-Cheng Yin

  12726-12734

  2026-03-14

• Offline and Online Optical Flow Enhancement for Deep Video Compression

  Chuanbo Tang, Xihua Sheng, Zhuoyuan Li, Haotian Zhang, Li Li, Dong Liu

  5118-5126

  2024-03-24

• MCA: Moment Channel Attention Networks

  Yangbo Jiang, Zhiwei Jiang, Le Han, Zenan Huang, Nenggan Zheng

  2579-2588

  2024-03-24

• Beyond Monte Carlo Tree Search: Playing Go with Deep Alternative Neural Network and Long-Term Evaluation

  Jinzhuo Wang, Wenmin Wang, Ronggang Wang, Wen Gao

  2017-02-12

• Learning to Attack: Adversarial Transformation Networks

  Shumeet Baluja, Ian Fischer

  2018-04-29

• MetaStyle: Three-Way Trade-off among Speed, Flexibility, and Quality in Neural Style Transfer

  Chi Zhang, Yixin Zhu, Song-Chun Zhu

  1254-1261

  2019-07-17

• Learning to Attend via Word-Aspect Associative Fusion for Aspect-Based Sentiment Analysis

  Yi Tay, Luu Anh Tuan, Siu Cheung Hui

  2018-04-26

• SVM-Based Deep Stacking Networks

  Jingyuan Wang, Kai Feng, Junjie Wu

  5273-5280

  2019-07-17

• Regularizing Deep Networks Using Efficient Layerwise Adversarial Training

  Swami Sankaranarayanan, Arpit Jain, Rama Chellappa, Ser Nam Lim

  2018-04-29

• Deep Innovation Protection: Confronting the Credit Assignment Problem in Training Heterogeneous Neural Architectures

  Sebastian Risi, Kenneth O. Stanley

  12391-12399

  2021-05-18

• X-RefSeg3D: Enhancing Referring 3D Instance Segmentation via Structured Cross-Modal Graph Neural Networks

  Zhipeng Qian, Yiwei Ma, Jiayi Ji, Xiaoshuai Sun

  4551-4559

  2024-03-24

• Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation

  Iulian Serban, Tim Klinger, Gerald Tesauro, Kartik Talamadupula, Bowen Zhou, Yoshua Bengio, Aaron Courville

  2017-02-12

• Reversible Architectures for Arbitrarily Deep Residual Neural Networks

  Bo Chang, Lili Meng, Eldad Haber, Lars Ruthotto, David Begert, Elliot Holtham

  2018-04-29

• Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models

  Tong Che, Xiaofeng Liu, Site Li, Yubin Ge, Ruixiang Zhang, Caiming Xiong, Yoshua Bengio

  7002-7010

  2021-05-18

• Beyond Dropout: Feature Map Distortion to Regularize Deep Neural Networks

  Yehui Tang, Yunhe Wang, Yixing Xu, Boxin Shi, Chao Xu, Chunjing Xu, Chang Xu

  5964-5971

  2020-04-03

• Aligning Artificial Neural Networks and Ontologies towards Explainable AI

  Manuel de Sousa Ribeiro, João Leite

  4932-4940

  2021-05-18

• ReGCL: Rethinking Message Passing in Graph Contrastive Learning

  Cheng Ji, Zixuan Huang, Qingyun Sun, Hao Peng, Xingcheng Fu, Qian Li, Jianxin Li

  8544-8552

  2024-03-24

• The Role of Over-Parameterization in Machine Learning – the Good, the Bad, the Ugly

  Fanghui Liu

  22674-22674

  2024-03-24

• UnFlow: Unsupervised Learning of Optical Flow With a Bidirectional Census Loss

  Simon Meister, Junhwa Hur, Stefan Roth

  2018-04-27