Papers
Towards Interpretable Reinforcement Learning Using Attention Augmented Agents
Alexander Mott, Daniel Zoran, Mike Chrzanowski et al.
Towards Joint Sound Scene and Polyphonic Sound Event Recognition
Helen L. Bear, Inês Nolasco, Emmanouil Benetos
Towards Knowledge-Based Recommender Dialog System
Qibin Chen, Junyang Lin, Yichang Zhang et al.
Towards Knowledge-Based Recommender Dialog System
Qibin Chen, Junyang Lin, Yichang Zhang et al.
Towards Language Agnostic Universal Representations
Armen Aghajanyan, Xia Song, Saurabh Tiwary
Towards Language-Universal Mandarin-English Speech Recognition
Shiliang Zhang, Yuan Liu, Ming Lei et al.
Towards Latent Attribute Discovery From Triplet Similarities
Ishan Nigam, Pavel Tokmakov, Deva Ramanan
Towards Learning to Detect and Predict Contact Events on Vision-based Tactile Sensors
Yazhan Zhang, Weihao Yuan, Zicheng Kan et al.
Towards Linear Time Neural Machine Translation with Capsule Networks
Mingxuan Wang, Jun Xie, Zhixing Tan et al.
Towards Linear Time Neural Machine Translation with Capsule Networks
Mingxuan Wang, Jun Xie, Zhixing Tan et al.
Towards Lossless Encoding of Sentences
Gabriele Prato, Mathieu Duchesneau, Sarath Chandar et al.
Towards Machine Reading for Interventions from Humanitarian-Assistance Program Literature
Bonan Min, Yee Seng Chan, Haoling Qiu et al.
Towards Machine Reading for Interventions from Humanitarian-Assistance Program Literature
Bonan Min, Yee Seng Chan, Haoling Qiu et al.
Towards Making a Dependency Parser See
Michalina Strzyz, David Vilares, Carlos Gómez-Rodríguez
Towards Making a Dependency Parser See
Michalina Strzyz, David Vilares, Carlos Gómez-Rodríguez
Towards Metamerism via Foveated Style Transfer
Arturo Deza, Aditya Jonnalagadda, Miguel P. Eckstein
Towards modular and programmable architecture search
Renato Negrinho, Matthew Gormley, Geoffrey J. Gordon et al.
Towards Multimodal Sarcasm Detection (An _Obviously_ Perfect Paper)
Santiago Castro, Devamanyu Hazarika, Verónica Pérez-Rosas et al.
Towards Multi-Pose Guided Virtual Try-On Network
Haoye Dong, Xiaodan Liang, Xiaohui Shen et al.
Towards Natural and Accurate Future Motion Prediction of Humans and Animals
Zhenguang Liu, Shuang Wu, Shuyuan Jin et al.
Towards Near-imperceptible Steganographic Text
Falcon Dai, Zheng Cai
Towards Non-Saturating Recurrent Units for Modelling Long-Term Dependencies
Sarath Chandar, Chinnadhurai Sankar, Eugene Vorontsov et al.
Towards Optimal Discrete Online Hashing with Balanced Similarity
Mingbao Lin, Rongrong Ji, Hong Liu et al.
Towards Optimal Fine Grained Retrieval via Decorrelated Centralized Loss with Normalize-Scale Layer
Xiawu Zheng, Rongrong Ji, Xiaoshuai Sun et al.
Towards Optimal Off-Policy Evaluation for Reinforcement Learning with Marginalized Importance Sampling
Tengyang Xie, Yifei Ma, Yu-Xiang Wang