Papers
3,706 papers found
Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations
Aravind Rajeswaran, Vikash Kumar, Abhishek Gupta et al.
Learning to Plan with Logical Automata
Brandon Araki, Kiran Vodrahalli, Thomas Leech et al.
Compositional Transfer in Hierarchical Reinforcement Learning
Markus Wulfmeier, Abbas Abdolmaleki, Roland Hafner et al.
Scalable and Probabilistically Complete Planning for Robotic Spatial Extrusion
Caelan Garrett, Yijiang Huang, Tomas Lozano-Perez et al.
TARE: A Hierarchical Framework for Efficiently Exploring Complex 3D Environments
Chao Cao, Hongbiao Zhu, Howie Choset et al.
Beyond Flat GelSight Sensors: Simulation of Optical Tactile Sensors of Complex Morphologies for Sim2Real Learning
Daniel Fernandes Gomes, Shan Luo, Paolo Paoletti
FurnitureBench: Reproducible Real-World Benchmark for Long-Horizon Complex Manipulation
Minho Heo, Youngwoon Lee, Doohyun Lee et al.
SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection
Dominik Schlechtweg, Barbara McGillivray, Simon Hengchen et al.
SemEval-2020 Task 2: Predicting Multilingual and Cross-Lingual (Graded) Lexical Entailment
Goran Glavaš, Ivan Vulić, Anna Korhonen et al.
IMS at SemEval-2020 Task 1: How Low Can You Go? Dimensionality in Lexical Semantic Change Detection
Jens Kaiser, Dominik Schlechtweg, Sean Papay et al.
SChME at SemEval-2020 Task 1: A Model Ensemble for Detecting Lexical Semantic Change
Maurício Gruppi, Sibel Adali, Pin-Yu Chen
SenseCluster at SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection
Amaru Cuba Gyllensten, Evangelia Gogoulou, Ariel Ekgren et al.
UiO-UvA at SemEval-2020 Task 1: Contextualised Embeddings for Lexical Semantic Change Detection
Andrey Kutuzov, Mario Giulianelli
BMEAUT at SemEval-2020 Task 2: Lexical Entailment with Semantic Graphs
Ádám Kovács, Kinga Gémes, Andras Kornai et al.
MULTISEM at SemEval-2020 Task 3: Fine-tuning BERT for Lexical Meaning
Aina Garí Soler, Marianna Apidianaki
UWB at SemEval-2020 Task 1: Lexical Semantic Change Detection
Ondřej Pražák, Pavel Přibáň, Stephen Taylor et al.
Complex words identification using word-level features for SemEval-2020 Task 1
Jenny A. Ortiz-Zambrano, Arturo Montejo-Ráez
UTFPR at SemEval-2021 Task 1: Complexity Prediction by Combining BERT Vectors and Classic Features
Gustavo Henrique Paetzold
SemEval-2022 Task 11: Multilingual Complex Named Entity Recognition (MultiCoNER)
Shervin Malmasi, Anjie Fang, Besnik Fetahu et al.
Multilinguals at SemEval-2022 Task 11: Complex NER in Semantically Ambiguous Settings for Low Resource Languages
Amit Pandey, Swayatta Daw, Narendra Unnam et al.
DANGNT-SGU at SemEval-2022 Task 11: Using Pre-trained Language Model for Complex Named Entity Recognition
Dang Nguyen, Huy Khac Nguyen Huynh
CASIA at SemEval-2022 Task 11: Chinese Named Entity Recognition for Complex and Ambiguous Entities
Jia Fu, Zhen Gan, Zhucong Li et al.