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Found 15374 items.

A Continual Learning Framework for Uncertainty-Aware Interactive Image Segmentation

Ervine Zheng, Qi Yu, Rui Li, Pengcheng Shi, Anne Haake

6030-6038

2021-05-18
Enabling Fast Instruction-Based Modification of Learned Robot Skills

Tyler Frasca, Bradley Oosterveld, Meia Chita-Tegmark, Matthias Scheutz

6075-6083

2021-05-18
SCAN: A Spatial Context Attentive Network for Joint Multi-Agent Intent Prediction

Jasmine Sekhon, Cody Fleming

6119-6127

2021-05-18
Argumentation Frameworks with Strong and Weak Constraints: Semantics and Complexity

Gianvincenzo Alfano, Sergio Greco, Francesco Parisi, Irina Trubitsyna

6175-6184

2021-05-18
A Deep Reinforcement Learning Approach to First-Order Logic Theorem Proving

Maxwell Crouse, Ibrahim Abdelaziz, Bassem Makni, Spencer Whitehead, Cristina Cornelio, Pavan Kapanipathi, Kavitha Srinivas, Veronika Thost, Michael Witbrock, Achille Fokoue

6279-6287

2021-05-18
A Simple Framework for Cognitive Planning

Jorge Luis Fernandez Davila, Dominique Longin, Emiliano Lorini, Frédéric Maris

6331-6339

2021-05-18
(Comet-) Atomic 2020: On Symbolic and Neural Commonsense Knowledge Graphs

Jena D. Hwang, Chandra Bhagavatula, Ronan Le Bras, Jeff Da, Keisuke Sakaguchi, Antoine Bosselut, Yejin Choi

6384-6392

2021-05-18
Transfer Learning for Efficient Iterative Safety Validation

Anthony Corso, Mykel J. Kochenderfer

7125-7132

2021-05-18
A One-Size-Fits-All Solution to Conservative Bandit Problems

Yihan Du, Siwei Wang, Longbo Huang

7254-7261

2021-05-18
Knowledge Refactoring for Inductive Program Synthesis

Sebastijan Dumancic, Tias Guns, Andrew Cropper

7271-7278

2021-05-18
Projection-Free Bandit Optimization with Privacy Guarantees

Alina Ene, Huy L. Nguyen, Adrian Vladu

7322-7330

2021-05-18
A Trace-restricted Kronecker-Factored Approximation to Natural Gradient

Kaixin Gao, Xiaolei Liu, Zhenghai Huang, Min Wang, Zidong Wang, Dachuan Xu, Fan Yu

7519-7527

2021-05-18
Provably Good Solutions to the Knapsack Problem via Neural Networks of Bounded Size

Christoph Hertrich, Martin Skutella

7685-7693

2021-05-18
Reinforcement Learning Based Multi-Agent Resilient Control: From Deep Neural Networks to an Adaptive Law

Jian Hou, Fangyuan Wang, Lili Wang, Zhiyong Chen

7737-7745

2021-05-18
Show, Attend and Distill: Knowledge Distillation via Attention-based Feature Matching

Mingi Ji, Byeongho Heo, Sungrae Park

7945-7952

2021-05-18
Metrics and Continuity in Reinforcement Learning

Charline Le Lan, Marc G. Bellemare, Pablo Samuel Castro

8261-8269

2021-05-18
Sequential Attacks on Kalman Filter-based Forward Collision Warning Systems

Yuzhe Ma, Jon A Sharp, Ruizhe Wang, Earlence Fernandes, Xiaojin Zhu

8865-8873

2021-05-18
Warm Starting CMA-ES for Hyperparameter Optimization

Masahiro Nomura, Shuhei Watanabe, Youhei Akimoto, Yoshihiko Ozaki, Masaki Onishi

9188-9196

2021-05-18
Fast PCA in 1-D Wasserstein Spaces via B-splines Representation and Metric Projection

Matteo Pegoraro, Mario Beraha

9342-9349

2021-05-18
Improving Gradient Flow with Unrolled Highway Expectation Maximization

Chonghyuk Song, Eunseok Kim, Inwook Shim

9704-9712

2021-05-18
Toward Robust Long Range Policy Transfer

Wei-Cheng Tseng, Jin-Siang Lin, Yao-Min Feng, Min Sun

9958-9966

2021-05-18
Curriculum-Meta Learning for Order-Robust Continual Relation Extraction

Tongtong Wu, Xuekai Li, Yuan-Fang Li, Gholamreza Haffari, Guilin Qi, Yujin Zhu, Guoqiang Xu

10363-10369

2021-05-18
SeCo: Exploring Sequence Supervision for Unsupervised Representation Learning

Ting Yao, Yiheng Zhang, Zhaofan Qiu, Yingwei Pan, Tao Mei

10656-10664

2021-05-18
Efficient Folded Attention for Medical Image Reconstruction and Segmentation

Hang Zhang, Jinwei Zhang, Rongguang Wang, Qihao Zhang, Pascal Spincemaille, Thanh D. Nguyen, Yi Wang

10868-10876

2021-05-18
The Sample Complexity of Teaching by Reinforcement on Q-Learning

Xuezhou Zhang, Shubham Bharti, Yuzhe Ma, Adish Singla, Xiaojin Zhu

10939-10947

2021-05-18

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